Suchergebnisse

Chapter 1. The smart grid and privacy -- chapter 2. What is the smart grid? -- chapter 3. What is privacy? -- chapter 4. Smart meter data and privacy -- chapter 5. The connected home -- chapter 6. Electric vehicles, charging stations, and privacy -- chapter 7. Mitigating privacy risks -- chapter 8. How to take charge of your privacy -- chapter 9. Transactive energy -- chapter 10. Addressing common privacy claims -- chapter 11. Beyond the smart grid : the monetization of data.

Internet of Things (IoT) can revolutionize the way people live in various sectors that deal with connected devices such as entrainment, businesses, and the government. IoT is a crucial area that most Research needs to be done on as it gives an idea on the intelligent collaboration of devices can be experienced anywhere and anytime. IoT poses some concerns that make people question its adaptability, and some of the challenges may include data privacy and security. The speed of the growth in devices that need IoT is high, meaning it's something that has a significant impact on issues on data privacy. The research paper discusses how IoT relates to security and issues in data privacy. It also highlights what the prevalent security threats are in layers of IoT. The Research will be essential to the users in the world and the United States as they can learn how they can make IoT secure and easily adoptable to ensure their devices are protected from malpractices or access to private data from unauthorized people

Chapter 1. The smart grid and privacy -- chapter 2. What is the smart grid? -- chapter 3. What is privacy? -- chapter 4. Smart meter data and privacy -- chapter 5. The connected home -- chapter 6. Electric vehicles, charging stations, and privacy -- chapter 7. Mitigating privacy risks -- chapter 8. How to take charge of your privacy -- chapter 9. Transactive energy -- chapter 10. Addressing common privacy claims -- chapter 11. Beyond the smart grid : the monetization of data.

Consumers need to understand the risks and consequences of sharing their lives with the world. For data analysts, even if you can create and implement a model, should you? This research paper discusses Cambridge Analytica's methods using predictive analytics and Facebook to influence the 2016 US Presidential Election. Through examining the firm as a whole, key people involved in the scandal, methods of data collection, and Facebook's role, the ethical boundaries of big data, predictive analytics, and data privacy are analyzed. Three perspectives were discussed in regards to ethical disparity: Cambridge Analytica, Facebook, and the consumers. Overall, this research exposes that while Cambridge Analytica and Facebook take direct blame, this scandal should serve as a "wake-up call" for consumers.

The tensions between transnational data exchange by police authorities as well as intelligence agencies on the one hand and the need for data privacy on the other hand are increasing. The European Union follows an ambivalent approach intensifying data exchange as well as reforming data protection in the context of police and judicial cooperation in criminal matters. Based on EU constitutional law, the CJEU defends privacy rights in the EU. Beyond the European perspective, the paper argues based on a comparison of data privacy in the EU, US and Australia in favour of the establishment and strengthening of international data privacy rights. A more detailed concept of international digital rights would be necessary to address all different issues of data privacy in the context of trans-border surveillance. While intelligence agencies and police cooperation are already linked on a global level, the protection of data privacy is not organized on an international level in an equivalent way.