경기도 청소년 교통비 지원
2021년 상반기 코로나19 상황 속에서도 꾸준히 증가하던 버스 이용률이 하반기 들어 주춤해졌다. 수도권 사회적 거리두기 4단계 격상 이후 이동량이 감소하면서 대중교통 이용객수 또한 급감했기 때문이다. 하지만 이러한 감소세와는 별개로 올해 7월까지의 도내 시내버스 이용자 수는 전년 동기 대비 3%가량 증가하였다. 지난해 같은 기간보다 일평균 10만 명 가량 늘어난 수치다. 도 관계자는 “코로나19 장기화로 인한 피로감 누적 및 백신 접종 확대 효과로 인해 일상생활로의 복귀 움직임이 조금씩 나타나고 있는 것으로 보인다”고 말했다. 이렇듯 여전히 우리 삶 곳곳에 영향을 미치고 있는 대중교통이지만 한편으로는 적지 않은 부담으로도 작용하고 있다. 출퇴근길 만원 버스나 지하철 안에서의 혼잡함 또는 비좁은 좌석 간격 등 매일같이 겪어야 하는 불편함뿐만 아니라 높은 물가 탓에 나날이 늘어가는 가계지출 비용 가운데서도 큰 비중을 차지하기 때문이다. 따라서 정부에서는 서민들의 경제적 부담을 덜어주고자 ‘경기도 청소년 교통비 지원사업’을 실시하고 있다. 해당 사업은 연간 12만원 한도 내에서 실사용액 전액을 지역화폐로 환급해주는 방식으로 진행된다. 신청 대상은 주민등록상 주소지가 경기도인 만 13세~23세 청소년이며 반드시 본인 명의의 교통카드를 발급받아 사용해야 한다. 단, 선불카드는 2020년 11월 17일 이후 발급된 경우에만 인정되며 후불카드는 접수 시점 기준 모든 카드사 합산하여 연체금액이 없어야 한다. 만약 분실하거나 재발급 받을 경우 기존 카드는 해지 처리 후 신규 카드를 등록해야 정상적으로 혜택을 받을 수 있다. 아울러 본 사업은 중복지원 방지를 위해 광역알뜰교통카드 마일리지 적립형 혹은 경기도 청소년 교통비 지원 포털 홈페이지 회원가입 시 입력한 교통카드 번호로만 지급받을 수 있으니 유의해야 한다. 보다 자세한 사항은 경기도 청소년 교통비 지원 포털 홈페이지 공지사항 게시판 참고 또는 콜센터 문의를 통해 확인할 수 있다.
AI (Artificial Intelligence) technology is rapidly developing in Korea, and the Korean government is actively promoting AI research and development. The country has also produced many startups that specialize in developing AI technologies, which have attr
Korean Privacy Law
Korean Personal Information Protection Act: An Overview
The Korean Personal Information Protection Act, also known as the PIPA, is a law that governs the collection, use, and management of personal information in South Korea.
As a member of the OECD, the Republic of Korea has been working to align its data protection laws with international standards. The PIPA is one of the most advanced data protection laws in the world, designed to protect the privacy rights of individuals while promoting the use of online technologies.
In this article, we'll provide an overview of the PIPA, including its major provisions and how it impacts individuals and organizations alike.
What is the PIPA?
The PIPA is a comprehensive legislation that governs the collection, use, and handling of personal information in Korea. It was enacted in 2011 to replace the previous Data Protection Act and is applicable to all private and public entities who collect, use, and handle personal information in their business operations.
The PIPA defines personal information as any information that can identify a specific individual, including but not limited to name, address, phone number, email, national identification number, and online identifiers.
What are the key provisions of the PIPA?
Under the PIPA, personal information controllers are required to:
• Obtain explicit and informed consent from individuals before collecting and using their personal information.
• Use personal information only for specific purposes that are clearly communicated to individuals.
• Limit the amount and retention period of personal information to what is necessary to achieve the intended purposes.
• Implement appropriate technical and organizational measures to protect personal information from unauthorized access or disclosure.
• Provide individuals with access, correction, and deletion rights over their personal information.
• Obtain separate consent from individuals if they want to transfer their personal information to third parties or overseas.
• Notify individuals and relevant authorities in the event of personal information breaches, and take necessary remedial actions.
What are the implications of the PIPA for individuals?
The PIPA enhances the privacy rights of individuals in Korea by providing them with greater control over their personal information. Individuals have the right to:
• Be informed of the purposes, legal basis, and retention period of personal information collected by controllers.
• Withdraw their consent to the collection and use of their personal information at any time.
• Request access, correction, and deletion of their personal information held by controllers.
• Request suspension of the processing of their personal information if they believe it is being collected or used unlawfully.
• Lodge complaints with the Personal Information Protection Commission or seek legal remedies if their rights under the PIPA are violated.
What are the implications of the PIPA for organizations?
The PIPA imposes significant obligations and responsibilities on personal information controllers, including:
• Ensuring that all employees who handle personal information are properly trained and aware of their responsibilities under the PIPA.
• Conducting risk assessments and privacy impact assessments to identify and mitigate potential data privacy risks.
• Implementing appropriate technical and organizational measures to secure personal information and prevent data breaches.
• Appointing a personal information manager to oversee compliance with the PIPA and provide regular reports to the Commission.
• Regularly reviewing and updating their privacy policies and practices to ensure they comply with the PIPA and other relevant laws and regulations.
What are the penalties for non-compliance with the PIPA?
The PIPA imposes significant penalties on personal information controllers who fail to comply with its provisions. Violators may face:
• Administrative sanctions, such as fines up to KRW 3 billion (approximately $2.5 million) or suspension of personal information processing operations.
• Criminal sanctions, such as imprisonment or fines up to KRW 100 million (approximately $88,000) for serious violations.
• Civil liabilities, such as claims for damages from individuals whose personal rights have been violated.
Conclusion
The Korean Personal Information Protection Act is a comprehensive data protection law that provides individuals with greater control over their personal information while imposing significant obligations and responsibilities on personal information controllers. The PIPA has been recognized as one of the most advanced data protection laws in the world, reflecting Korea's commitment to data privacy and digital innovation. For individuals and organizations operating in Korea, it is crucial to understand the provisions and requirements of the PIPA to ensure compliance and protect personal information from cyber threats and misuse.
"Customizing the Future: How Google's AI Services Balances Personalization with Privacy Concerns"
"Customizing the Future: How Google's AI Services Balances Personalization with Privacy Concerns"
Google, one of the leading tech companies in the world, has been at the forefront of utilizing artificial intelligence (AI) for personalization and customization of its services. From personalized search results to customized recommendations on YouTube, Google's AI-powered services have greatly enhanced the user experience. However, as with any company utilizing AI for personalization, Google has had to navigate concerns about privacy and transparency.
One of the main ways Google uses AI for customization is through profiling, which involves collecting data on users' preferences, behavior, and demographics. This data is then analyzed by algorithms and machine learning models to create personalized search results, advertisements, and even products.
However, the French data protection authority (CNIL) has raised concerns about Google's data collection and processing practices, stating that the company does not have a valid legal basis for the vast majority of its processing operations.
Google has also faced criticism for its lack of transparency in how it collects and uses user data. In response, the company has made efforts to improve transparency, such as providing more detailed explanations of its data collection practices in its privacy policy. Google has also implemented a feature called "Why this ad?" which allows users to see why a particular ad was shown to them and to control the ads they see.
In addition, Google has also implemented a feature called "My Account" which allows users to manage their privacy settings and control the data that is collected about them. Users can also access and download their data, or request that their data be deleted.
However, despite these efforts, concerns about privacy and transparency remain. Google's data collection and processing practices are still subject to ongoing investigations and regulatory scrutiny.
Google is also investing in Explainable AI (XAI) to increase the transparency of its AI systems. XAI provides an explanation for the predictions, decisions or actions that an AI system takes, so that users can understand how the AI system arrived at its conclusions.
In conclusion, Google's AI-powered services have greatly enhanced the user experience by providing personalized and customized experiences. However, the company has had to navigate concerns about privacy and transparency. Google has made efforts to improve transparency and provide users with more control over their data, but concerns still remain. As AI continues to evolve and become an integral part of our lives, it is crucial that companies prioritize transparency and privacy, and comply with regulations such as GDPR and WP29 guidelines. Investing in Explainable AI is also a good step to increase the transparency of the AI systems.
GOOGLE AI
"Customizing the Future: How Google's AI Services Balances Personalization with Privacy Concerns"
Google, one of the leading tech companies in the world, has been at the forefront of utilizing artificial intelligence (AI) for personalization and customization of its services. From personalized search results to customized recommendations on YouTube, Google's AI-powered services have greatly enhanced the user experience. However, as with any company utilizing AI for personalization, Google has had to navigate concerns about privacy and transparency.
One of the main ways Google uses AI for customization is through profiling, which involves collecting data on users' preferences, behavior, and demographics. This data is then analyzed by algorithms and machine learning models to create personalized search results, advertisements, and even products.
However, the French data protection authority (CNIL) has raised concerns about Google's data collection and processing practices, stating that the company does not have a valid legal basis for the vast majority of its processing operations.
Google has also faced criticism for its lack of transparency in how it collects and uses user data. In response, the company has made efforts to improve transparency, such as providing more detailed explanations of its data collection practices in its privacy policy. Google has also implemented a feature called "Why this ad?" which allows users to see why a particular ad was shown to them and to control the ads they see.
In addition, Google has also implemented a feature called "My Account" which allows users to manage their privacy settings and control the data that is collected about them. Users can also access and download their data, or request that their data be deleted.
However, despite these efforts, concerns about privacy and transparency remain. Google's data collection and processing practices are still subject to ongoing investigations and regulatory scrutiny.
Google is also investing in Explainable AI (XAI) to increase the transparency of its AI systems. XAI provides an explanation for the predictions, decisions or actions that an AI system takes, so that users can understand how the AI system arrived at its conclusions.
In conclusion, Google's AI-powered services have greatly enhanced the user experience by providing personalized and customized experiences. However, the company has had to navigate concerns about privacy and transparency. Google has made efforts to improve transparency and provide users with more control over their data, but concerns still remain. As AI continues to evolve and become an integral part of our lives, it is crucial that companies prioritize transparency and privacy, and comply with regulations such as GDPR and WP29 guidelines. Investing in Explainable AI is also a good step to increase the transparency of the AI systems.
AI CUSTOMIZATION SERVICE
One important aspect to consider when discussing the use of AI in customized services and privacy concerns is the concept of bias in AI systems. As AI systems are trained on large amounts of data, they can inadvertently learn and perpetuate biases present in the data. This can lead to unfair and discriminatory outcomes for certain groups of people. For example, a job recruiting AI system that is trained on resumes of mostly male applicants may inadvertently discriminate against female applicants. It is crucial for companies to recognize and address potential biases in their AI systems to ensure fair and equitable outcomes for all customers.
Another important aspect to consider is the ethical implications of using AI for customization and personalization. As AI systems become more advanced and are able to make increasingly complex decisions, it is important to consider the ethical implications of these decisions. For example, an AI system that recommends products to customers based on their browsing history may inadvertently encourage impulse buying or overconsumption. It is crucial for companies to consider the ethical implications of their AI systems and to design them in a way that promotes responsible and sustainable behavior.
In addition, there is also the concern of data security and the potential for data breaches when using AI for customization and personalization. As companies collect and store large amounts of customer data, they become a target for cyber-attacks. It is crucial for companies to implement robust security measures to protect customer data from unauthorized access, and to have a clear plan in place to respond to a data breach.
Furthermore, the use of AI for customization and personalization also raises questions about the long-term implications for society. As AI systems become more advanced and are able to make increasingly complex decisions, there is a concern that they may eventually replace human decision-making altogether. This could lead to a loss of jobs and a decrease in human agency. It is crucial for society to consider the long-term implications of AI and to ensure that its development is guided by ethical principles and promotes the well-being of all.
In conclusion, the use of AI for customization and personalization has the potential to greatly enhance the customer experience, but it is important to consider the potential privacy and transparency concerns, bias, ethical implications, security and long-term implications. As AI continues to evolve and become an integral part of our lives, it is crucial that we remain vigilant about protecting our personal information, ensuring fair and equitable outcomes for all, and promoting ethical and sustainable behavior. Companies must prioritize transparency, privacy, and compliance with regulations, while also considering the ethical implications of their AI systems and ensuring they are secure. Society as a whole must consider the long-term implications of AI and ensure that its development is guided by ethical principles that promote the well-being of all.
Privacy and Data Security
Privacy and Data Security: The Importance of Strong Measures
In today's digital age, personal information and data is constantly being collected, stored, and shared. From online shopping to social media, we willingly provide our personal information in exchange for convenience and personalized experiences. However, as the amount of personal information shared through the internet increases, the importance of security and privacy cannot be stressed enough. In this article, we will explore the relationship between security and privacy and why strong security measures are essential for protecting personal information.
What is Security?
Security refers to the protection of information, systems, and assets to ensure that they are only available to authorized users or organizations. This is achieved through measures such as encryption, access controls, firewalls, and network security. The goal of security is to ensure that only those with the appropriate permissions can access sensitive information and systems.
What is Privacy?
Privacy refers to an individual's right to control their personal information and data and the protection of that information from unauthorized access, use, or disclosure. This is achieved through measures such as data minimization, de-identification, and anonymization. The goal of privacy is to allow individuals to control their personal information and protect it from unauthorized access or use.
The Relationship between Security and Privacy
Security and privacy are closely related. Security measures are often used to protect privacy. Without strong security measures, personal information and data is vulnerable to unauthorized access, use, and disclosure, which can compromise an individual's privacy. Therefore, strong security measures are essential for protecting personal information and maintaining privacy.
The Impact of Data Breaches
The importance of strong security measures is highlighted by the increasing number of data breaches that occur each year. Some major examples include:
- Google+ data breach: In 2018, Google revealed that a bug had exposed the account information of millions of users.
- Yahoo data breaches: In 2013 and 2014, data breaches affected 3 billion Yahoo user accounts.
- Marriott data breach: In 2018, a data breach exposed the personal information of over 5 million customers.
These examples demonstrate that a lack of security measures can have severe consequences and result in the compromise of personal information. It is important for companies and organizations to take a proactive approach to security and privacy in order to protect personal information and maintain trust with customers and clients.
Conclusion
Security and privacy are closely related concepts, and strong security measures are essential for protecting personal information and maintaining individuals' right to privacy. The increasing number of data breaches that occur each year highlights the importance of ongoing efforts to review and update security measures in order to ensure the protection of personal information. Encryption, access controls, firewalls, and network security are just a few examples of security measures that can be implemented to protect personal information. Additionally, data minimization, de-identification, and anonymization can be used to further protect the privacy of individuals. It is important for companies and organizations to take a proactive approach to security and privacy in order to protect personal information and maintain trust with customers and clients.
Examples of Data Breaches and their Impact
Examples of Data Breaches and their Impact
The importance of strong security measures is highlighted by the increasing number of data breaches that occur each year. Some high-profile examples include:
- The Google+ data leak: In 2018, Google announced that a data leak had exposed the personal information of hundreds of thousands of users. The leak was caused by a bug in the Google+ platform and resulted in the personal information of users, such as email addresses, occupation, and age, being exposed.
- The Yahoo data breaches: In 2013 and 2014, Yahoo announced that data breaches had occurred, resulting in the personal information of all 3 billion of its users being exposed. This included information such as email addresses, telephone numbers, and dates of birth.
- The Marriott data breach: In 2018, Marriott announced that a data breach had occurred, resulting in the personal information of over 500 million guests being exposed. This included information such as names, addresses, phone numbers, and passport numbers.
These incidents illustrate the potential consequences of insufficient security measures and the importance of protecting personal information and data. The damage to company reputation, loss of customer trust, and legal and financial consequences can be significant.
Examples of Security Measures
- Encryption: Encryption is the process of converting plaintext into ciphertext, making it unreadable to unauthorized individuals. This is often used to protect sensitive information, such as credit card numbers or personal identification numbers (PINs).
- Access controls: Access controls are used to limit who has access to sensitive information and systems. This includes measures such as passwords, biometric authentication, and security tokens.
- Firewalls: A firewall is a network security system that monitors and controls incoming and outgoing network traffic based on predetermined security rules and policies.
- Network security: Network security refers to the protection of a computer network from unauthorized access, use, disclosure, disruption, modification, or destruction. This includes measures such as intrusion detection systems, virtual private networks (VPNs), and network
- Data minimization: Data minimization refers to the practice of only collecting, storing, and using the minimum amount of personal information necessary to achieve a specific purpose. This helps to reduce the amount of personal information that is at risk in the event of a data breach.
- De-identification: De-identification is the process of removing personal identifiers, such as names and addresses, from personal information in order to protect privacy. This is often used in research and analytics to protect the privacy of individuals while still allowing for useful insights to be gained.
- Anonymization: Anonymization is the process of making personal information untraceable, so that it cannot be linked back to a specific individual. This is often used in the release of datasets for research or other purposes, in order to protect the privacy of individuals while still allowing for useful insights to be gained.
Conclusion
Security and privacy are closely related concepts, and strong security measures are essential for protecting personal information and maintaining individuals' right to privacy. The increasing number of data breaches that occur each year highlights the importance of ongoing efforts to review and update security measures in order to ensure the protection of personal information. Encryption, access controls, firewalls, and network security are just a few examples of security measures that can be implemented to protect personal information. Additionally, data minimization, de-identification, and anonymization can be used to further protect the privacy of individuals. It is important for companies and organizations to take a proactive approach to security and privacy in order to protect personal information and maintain trust with customers and clients.
Why Strong Security Measures are Essential for Protecting Personal Information
Security and Privacy: Why Strong Security Measures are Essential for Protecting Personal Information
In today's digital age, personal information and data are constantly being collected, stored, and shared. From online shopping to social media, we willingly give away our personal information in exchange for convenience and personalized experiences. However, with the increasing amount of personal information being shared online, the importance of security and privacy cannot be overstated. In this article, we will explore the relationship between security and privacy and why strong security measures are essential for protecting personal information.
What is Security?
Security refers to the protection of information, systems, and assets against unauthorized access, use, disclosure, disruption, modification, or destruction. This includes measures such as encryption, access controls, firewalls, and network security. The goal of security is to ensure that only authorized individuals or entities have access to sensitive information and systems.
What is Privacy?
Privacy refers to the right of individuals to control their personal information and data, and the protection of that information from unauthorized access, use, or disclosure. This includes measures such as data minimization, de-identification, and anonymization. The goal of privacy is to give individuals control over their personal information and protect it from unauthorized access or use.
The Relationship between Security and Privacy
Security and privacy are closely related concepts, as security measures are often put in place to protect privacy. Without proper security measures, personal information and data can be vulnerable to unauthorized access, use, or disclosure. This can lead to a loss of privacy and potential harm to individuals. Therefore, it is important to implement strong security measures to ensure the protection of personal information and maintain individuals' right to privacy.
GDPR AI
General Data Protection Regulation (GDPR) is a regulation implemented in the European Union (EU) to protect the privacy and personal data of EU citizens. It gives EU citizens more control over their personal data and how it is used. In relation to AI, GDPR applies to any organization that processes personal data, including those that use AI systems.
There have been a number of court cases related to GDPR and AI, as organizations struggle to comply with the regulation. Some examples of GDPR and AI court cases include:
- In 2019, a German social media company was fined €20,000 ($22,000) for failing to appoint a data protection officer and for not properly securing the personal data of its users.
- In 2020, a French technology company was fined €50 million ($57 million) for failing to properly obtain user consent for targeted advertising.
- In 2020, a British company was fined £18.4 million ($24 million) for failing to protect the personal data of its users during a data breach.
- In 2021, a Spanish company was fined €30,000 ($34,000) for failing to appoint a data protection officer and for not properly securing the personal data of its users.
These cases demonstrate the importance of organizations to comply with GDPR when using AI systems and processing personal data. It is crucial or organizations to take the necessary steps to protect personal data and to ensure compliance with GDPR when using AI systems. This includes appointing a data protection officer, obtaining user consent, and implementing proper security measures to prevent data breaches.
It is also important for organizations to regularly review and update their data protection policies and procedures to ensure compliance with GDPR. Organizations should also be aware that non-compliance with GDPR can result in significant fines, as well as damage to their reputation.
Moreover, organizations should also consider ethical and societal implications of their AI systems, especially when it comes to sensitive personal data like medical or financial information. They should also have a robust governance framework in place to make sure that the AI systems they use aligns with their ethical principles and is not harmful to the society.
In conclusion, GDPR and AI court cases demonstrate the importance of organizations to comply with GDPR when using AI systems and processing personal data. It is crucial for organizations to take the necessary steps to protect personal data and to ensure compliance with GDPR to avoid significant fines and reputational damage.
AI and Privacy
AI and privacy are closely related as AI systems often collect and process large amounts of personal data, raising concerns about how that data is being used, stored and protected. Some key issues include data breaches, bias in decision-making, lack of transparency, and concerns about surveillance and erosion of personal privacy. There is a need to consider the potential impact of AI on privacy and to develop responsible and ethical guidelines for its use. Data breaches can result in personal information being compromised, bias in decision-making can perpetuate discrimination, and lack of transparency in AI systems can make it difficult for individuals to understand and trust the decisions being made about them. Additionally, the increasing use of AI for surveillance can erode personal privacy and civil liberties. To address these issues, it is important to develop guidelines and regulations for the responsible and ethical use of AI, involving government, industry, and society. Overall, it is essential to continue to pay attention to the impact of AI on privacy to ensure that individuals' personal information is protected and that AI is used in an ethical and responsible manner.
JP모건 화폐 등장
Garlinghouse는 "예상대로 은행들은 암호에 대한 그들의 변화를 바꾸고있다. "그러나이 JPM 프로젝트는 요점을 놓치고 있습니다. 오늘 닫힌 네트워크를 소개하는 것은 Netscape의 IPO 후에 AOL을 시작하는 것과 같습니다. 2 년 후 은행의 동전은 여전히 답이 아닙니다. "
앞으로 jp 모건 암호화폐를 기대해보겠습니다
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btc
미국 신용평가사 와이스 레이팅스(Weiss Ratings)가 방금 전 공식 트위터 계정을 통해 "현재 BTC 해시파워의 대부분은 중국이 장악하고 있다. 월스트리트의 BTC 투자 및 레버리징(leveraging)은 중국의 네트워크 공격에 의해 수 조 달러의 손해를 입을 수 있는 잠재적인 리스크가 존재한다"고 진단했다.
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유명 암호화폐 억만장자 윙클보스형제가 운영하는 미국 암호화폐 거래소 제미니(Gemini)가 공식 채널을 통해 오는 13일 오전 9:30(현지 시간) LTC 지갑 및 입금 서비스를, 오는 16일 오전 9:30(현지 시간) LTC 거래 서비스를 오픈한다고 공지했다. 제미니는 USD, BTC, ETH 마켓에 LTC를 상장하며, ZEC/LTC 페어 거래 종목을 신규 상장한다. 또한 제미니의 LTC 상장은 뉴욕금융서비스국(NYSDFS)의 승인을 받은 것으로 나타났다.
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CFTC
암호화폐 전문 미디어 코인데스크에 따르면, 미국 상품선물거래위원회(CFTC)의 크리스토퍼 지안카를로(J. Christopher Giancarlo) 위원장이 오늘(12일) "기관 투자자들이 암호화폐 시장에 유입되고 있다. 이로 인해 암호화폐 시장은 더욱 성숙해질 것"이라고 밝혔다. 그러면서도 그는 "일부 현물 거래소에는 투명성 부족, 이익 충돌, 시스템 보안 및 투자자 보호 장치 부족 등 다수의 문제점이 있다. 아직 갈길이 멀다"며 암호화폐 거래소들의 문제점들을 꼬집었다.
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| 네오 (0) | 2018.10.11 |
| EU (0) | 2018.10.10 |
| 잠재수요 (0) | 2018.10.10 |
네오
[NEO 창시자 "블록체인 아직 초기...대단한 세상 올 것"]
네오(NEO, 시총 15위) 창시자 다홍페이(达鸿飞)가 11일 매일경제와 디스트리트가 공동 개최한 세계지식포럼에서 "현재 블록체인 산업은 고층 건물의 기반을 다지는 과정에 있다"라며 "전통산업 종사자들이 멀리서 바라보면 알 수 없지만, 가까이서 보면 향후 10년을 위한 기반공사가 활발히 진행중이다. 향후 대단한 세상이 올것이다"라며 아직 초기 단계인 블록체인을 보완하기 위한 솔루션들에 대해 나열했다.
1. 확장성 개선 위해 2020년까지 10만 TPS 달성
2. 개인정보 보호 및 암호화 스킴(Scheme) 위해 이스라엘 스타크웨어(Starkware) 투자
3. 스마트 컨트랙트와 블록체인 검증 위해 Certik 투자
4. 거래내역 저장 및 분산 스토리지 기술 위해 NeoFS 투자
5. 비잔틴 장애 허용 컨센서스(DBFT, Delegated Byzantine Fault Tolerance) 구축
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| 제미니 (0) | 2018.10.12 |
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| 잠재수요 (0) | 2018.10.10 |
| Cardano [ADA] becomes the biggest gainer among the top 10, users ecstatic (link: https://ambcrypto.com/cardano-ada-becomes-the-biggest-gainer-among-the-top-10-users-ecstatic/) ambcrypto.com/cardano-ada-be… $BTC #ETH $ETH #Ripple #BTC #Bitcoin #Ethereu.. (0) | 2018.10.09 |
EU
ttps://www.ccn.com/eu-watchdog-will-evaluate-every-ico-for-potential-regulatory-push/amp/?__twitter_impression=true
Disclaimer:
Of course, none of my comments represent investment advice to your readers.
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잠재수요
암호화폐 전문 미디어 코인포스트(Coinpost)에 따르면, 최근 영국 암호화폐 투자은행 코인쉐어스(Coinshares) CEO 라이언 라들로프(Ryan Radloff)가 세계은행(WB)의 인구 데이터를 인용해 "전세계 암호화폐 산업에 총 1억명 이상의 잠재 투자자들이 있다"고 밝혔다. 데이터에 의하면, 잠재 투자자는 유럽 5,463만명, 미국 4,232만명, 호주 196만명으로 나타났다. 또한, 그는 "이에 따른 잠재 수요 규모는 약 120억 달러"라고 부연했다.
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Cardano [ADA] becomes the biggest gainer among the top 10, users ecstatic (link: https://ambcrypto.com/cardano-ada-becomes-the-biggest-gainer-among-the-top-10-users-ecstatic/) ambcrypto.com/cardano-ada-be… $BTC #ETH $ETH #Ripple #BTC #Bitcoin #Ethereu..
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| [토큰인사이트 "10년간 전세계 블록체인 관련 연구 천여건"] 중국 암호화폐 평가기관 토큰인사이트(TokenInsight)가 제공한 통계 데이터에 따르면, 최근 10년 동안 전세계 '암호화폐(Cryptocurrency)', '.. (0) | 2018.10.09 |
| Eth (0) | 2018.10.09 |
| 방송통신위원회가 최근 페이스북 해킹 사고와 관련해 한국인 개인정보가 유출된 것으로 확인되면 법에 따라 처리할 계획이라고 밝혔습니다. (0) | 2018.10.09 |
[토큰인사이트 "10년간 전세계 블록체인 관련 연구 천여건"] 중국 암호화폐 평가기관 토큰인사이트(TokenInsight)가 제공한 통계 데이터에 따르면, 최근 10년 동안 전세계 '암호화폐(Cryptocurrency)', '..
[토큰인사이트 "10년간 전세계 블록체인 관련 연구 천여건"]
중국 암호화폐 평가기관 토큰인사이트(TokenInsight)가 제공한 통계 데이터에 따르면, 최근 10년 동안 전세계 '암호화폐(Cryptocurrency)', '블록체인(Blockchain)' 및 '비트코인(Bitcoin)'을 키워드로 한 연구결과가 1,211건에 달하는 것으로 나타났다. 해당 기관이 발표한 보고서에 따르면, 지난 2012년부터 미국, 중국, 영국, 독일 등 국가의 블록체인 관련 연구가 크게 증가한 것으로 나타났다.
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Eth
[비탈릭 부테린 "ETH, 2017년과 비교해 괄목할 만한 변화 이뤄"]
이더리움 창시자 비탈릭 부테린(Vitalik Buterin)이 본인의 트위터 계정을 통해 "지난 15개월간 ETH의 변화는 무엇인가?"라는 질문에 "ETH는 2017년과 비교해 괄목할 만한 변화를 이뤘다"며 세부사항을 나열했다.
1. 캐스퍼, 샤딩 협의의 규범 내용이 대략 완성, 개량 단계 진입
2. 4가지 이상의 규범이 순조롭게 구현 중
3. 스케일링 솔루션인 플라즈마 개발이 순조롭게 진행 중
4. zk-SNARK 기반 레이어 2 확장 및 개인정보 보호 작업이 진행 중
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방송통신위원회가 최근 페이스북 해킹 사고와 관련해 한국인 개인정보가 유출된 것으로 확인되면 법에 따라 처리할 계획이라고 밝혔습니다.
방송통신위원회가 최근 페이스북 해킹 사고와 관련해 한국인 개인정보가 유출된 것으로 확인되면 법에 따라 처리할 계획이라고 밝혔습니다.
http://m.science.ytn.co.kr/view.php?s_mcd=0082&s_hcd=&key=201810021357015044
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| [日 긴코 월렛, 모바일 애플리케이션에 '환전 기능' 추가] 일본 닛케이신문에 따르면, 최근 일본 암호화폐 월렛 서비스 긴코(Ginco)가 모바일 애플리케이션에 환전 기능을 추가했다. 이를 통해 .. (0) | 2018.10.09 |
| 행안부 한국감정원 (0) | 2018.10.09 |
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[日 긴코 월렛, 모바일 애플리케이션에 '환전 기능' 추가] 일본 닛케이신문에 따르면, 최근 일본 암호화폐 월렛 서비스 긴코(Ginco)가 모바일 애플리케이션에 환전 기능을 추가했다. 이를 통해 ..
[日 긴코 월렛, 모바일 애플리케이션에 '환전 기능' 추가]
일본 닛케이신문에 따르면, 최근 일본 암호화폐 월렛 서비스 긴코(Ginco)가 모바일 애플리케이션에 환전 기능을 추가했다. 이를 통해 사용자가 암호화폐 거래소를 거치지 않고 필요한 화폐로 거래를 진행할 수 있다는 설명이다. 해당 기능은 현재 ETH, OMG 등 6종의 암호화폐를 지원하며, 일본 외 국가 사용자에게 우선 제공되고 있다.
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행안부 한국감정원
http://m.boannews.com/html/detail.html?idx=73466&kind=2
행안부, 개인정보보호법 위반한 한국감정원 과태료 부과
위반 사항은 목적 달성을 완료한 개인정보 미파기(법제21조제1항 위반), 고유식별정보 처리제한 위반(법제24조제3항 위반)이다.
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| [日 긴코 월렛, 모바일 애플리케이션에 '환전 기능' 추가] 일본 닛케이신문에 따르면, 최근 일본 암호화폐 월렛 서비스 긴코(Ginco)가 모바일 애플리케이션에 환전 기능을 추가했다. 이를 통해 .. (0) | 2018.10.09 |
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| 구글 (0) | 2018.10.09 |
| Cto (0) | 2018.10.09 |
구글 아이폰
아이폰 사용자의 웹 사용기록을 몰래 추적한 구글이 영국에서 집단소송의 위기를 넘겼습니다.
https://m.news.naver.com/read.nhn?mode=LSD&mid=sec&sid1=104&oid=055&aid=0000679906
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구글
구글 "내년 8월까지 서비스 접겠다"
(지디넷코리아=안희정 기자)구글이 자사 SNS인 구글플러스 사용자 개인정보가 노출됐지만, 이를 쉬쉬한 사실이 알려졌다. 구글은 곧 구글플러스를 폐쇄한다고 밝혔다.
https://m.news.naver.com/read.nhn?mode=LSD&mid=sec&sid1=105&oid=092&aid=0002147461
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Cto
[코인베이스 CTO "익명성 토큰 집중 연구中"]
암호화폐 미디어 AMB크립토에 따르면 암호화폐 거래소 코인베이스의 발라이 스리니바산(Balaji Srinivasan) CTO가 "최근 익명성 기반 토큰 연구에 집중하고 있다"며 "특히 zk-SNARK와 Bulletproof에 주목하고 있다"고 밝혔다. zk-SNARK이란 암호학에서 누군가가 상대방에게 어떤 사항이 참임을 증명할 때, 그 문자의 참, 거짓 여부를 제외한, 어떤 것도 노출하지 않는 상호 작용 절차인 영지식증명(Zero Knowledge proof) 기반의 컨센서스 프로토콜이다. 그는 이외에도 "스테이블 코인 관련 기술을 지속적으로 업데이트할 예정이다"라고 덧붙였다.
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Eos
[EOS Lite, RAM 비용 부담 제한에 따른 에어드롭 계획 취소]
이오스라이트(EOS Lite)의 공식 트위터에 따르면, 앞서 계획한 EOS 보유자에 대한 1:1 비율의 이오스라이트토큰 에어드롭 계획이 무산된 것으로 나타났다. 이와 관련해 이오스라이트 측은 "에어드롭시 필요한 높은 RAM 비용을 지불할 수 없다"는 설명이다. 다만 "빅원(Big.One), 창스(Chauncey), 밋원(Meet.One)을 통해 에어드롭을 받을 수 있다"고 설명했지만 구체적인 방법은 언급되지 않았다.
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가명정보와 개인정보
출처: http://news.hankyung.com/article/2018081245021
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카카오톡 의료정보
카톡에서 의료정보를 주고 받을 수 있는 경우가 많습니다.
이러한 경우 한국에서는 의료법 위반의 이슈가 발생할 여지가 있습니다.
특히 의료법상 개인정보의 범위는 상당히 넓기 때문에
환자에 관한 정보를 취급하는 경우 상당한 주의가 필요합니다.
개인정보 유출시에는 법원의 판단에 따라 자격 정지 2개월 또는 3년 이하의 징역, 3000만원 이하의 벌금에
처해질 수 있다는 점을 주의하시기 바랍니다.
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