Tag: Privacy

Security and Privacy in Web 3.0 (Digital Privacy and Security)


Free Download Security and Privacy in Web 3.0 (Digital Privacy and Security) by Meng Shen, Xiangyun Tang, Wei Wang
English | September 2, 2024 | ISBN: 9819757517 | 169 pages | MOBI | 9.40 Mb
Web 3.0 is the next generation of the Internet built on decentralized technologies such as blockchain and cryptography. It is designed to address issues encountered in the previous generation of the Internet such as imbalanced distribution of interests, monopoly of platform resources, and leakage of personal privacy. This book explores the challenges and solutions related to ensuring security and privacy in the context of the evolving Web 3.0 architecture.

(more…)

A Reference Manual for Data Privacy Laws and Cyber Frameworks


Free Download A Reference Manual for Data Privacy Laws and Cyber Frameworks
English | 2025 | ISBN: 1032804491, 1032802421 | 131 Pages | PDF EPUB (True) | 5.4 MB
As the world is becoming more digital and entwined together, the cybersecurity threat landscape has no doubt become a daunting one. For example, typical threat variants of the past, especially those of phishing, have now become much more sophisticated and covert in nature. A lot of this has been brought on by the proliferation of ransomware, which exploded during the COVID-19 pandemic. Now there is another concern that is looming on the horizon: data privacy. Now, more than ever, consumers on a global basis want to know exactly what is happening to their personal identifiable information (PII) datasets. Examples of what they want to know about include the following:

(more…)

Customer Data and Privacy The Insights You Need from Harvard Business Review (HBR Insights Series)


Free Download Customer Data and Privacy: The Insights You Need from Harvard Business Review (HBR Insights Series) by Harvard Business Review, Christopher Grove, Janet Metzger
English | September 22, 2020 | ISBN: B08HHFK9PD | 2 hours and 56 minutes | MP3 128 Kbps | 161 Mb
Is it possible to take advantage of the benefits of data collection – and mitigate risks – for both companies and customers?
Most consumers are not very skilled at evaluating privacy risks; they’re either unable to determine the cost of sharing personal data online or unaware of what they’re sharing. (Doesn’t everyone scroll down without reading to click "I accept"?) Without much intervention from most federal or state-level governments, companies are on their own to define what qualifies as reasonable use. In today’s digital surveillance economy, there are no clear-cut best practices or guidelines. Gathering and using information can help customers – we see that in personalization and autofill of online forms. But companies must act in the best interest of their customers and treat the sensitive information users give them with the ethical care of doctors, lawyers, and financial advisers. The challenges of operating in a digital ecosystem aren’t going away. Customer Data and Privacy: The Insights You Need from Harvard Business Review will help you understand the tangled interdependencies and complexities and develop strategies that allow your company to be good stewards, collecting, using, and storing customer data responsibly.
(more…)

Federated Learning and Privacy-preserving RAGs


Free Download Federated Learning and Privacy-preserving RAGs
Published 9/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 48 KHz
Language: English | Size: 31.15 MB | Duration: 16m 1s
Learn federated learning and privacy-preserving techniques. This course will teach you how to architect AI solutions while ensuring data privacy in Retrieval-Augmented Generation (RAG) systems.

(more…)

Trust, Privacy and Security in Digital Business


Free Download Sokratis Katsikas, Miguel Soriano, "Trust, Privacy and Security in Digital Business"
English | 2010 | pages: 259 | ISBN: 3642151515 | PDF | 4,9 mb
This book presents the proceedings of the 7th International Conference on Trust, P- vacy and Security in Digital Business (TrustBus 2010), held in Bilbao, Spain during August 30-31, 2010. The conference continued from previous events held in Zaragoza (2004), Copenhagen (2005), Krakow (2006), Regensburg (2007), Turin (2008) and Linz (2009). The recent advances in information and communication technologies (ICT) have raised new opportunities for the implementation of novel applications and the provision of high-quality services over global networks. The aim is to utilize this ‘information society era’ for improving the quality of life for all citizens, disseminating knowledge, strengthening social cohesion, generating earnings and finally ensuring that organi- tions and public bodies remain competitive in the global electronic marketplace. – fortunately, such a rapid technological evolution cannot be problem-free. Concerns are raised regarding the ‘lack of trust’ in electronic procedures and the extent to which ‘information security’ and ‘user privacy’ can be ensured. TrustBus 2010 brought together academic researchers and industry developers, who discussed the state of the art in technology for establishing trust, privacy and security in digital business. We thank the attendees for coming to Bilbao to participate and debate the new emerging advances in this area.

(more…)

Privacy-Preserving Machine Learning


Free Download Privacy-Preserving Machine Learning: A use-case-driven approach to building and protecting ML pipelines from privacy and security threats by Srinivasa Rao Aravilli
English | May 24, 2024 | ISBN: 1800564678 | 402 pages | EPUB | 10 Mb
Gain hands-on experience in data privacy and privacy-preserving machine learning with open-source ML frameworks, while exploring techniques and algorithms to protect sensitive data from privacy breaches

(more…)