Secure Social Network Data Mining

Download or read book Secure Social Network Data Mining written by Kumaran U and published by . This book was released on 2023-05-29 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Secure Social Network Data Mining" is a comprehensive book authored by KUMARAN U, which addresses the growing concerns about privacy and security in social networks. The book explores the use of data mining techniques to extract valuable insights from social network data while protecting the privacy and security of users' personal information. The author delves into the key concepts of privacy, security, and confidentiality, and how they relate to data mining in social networks. The book highlights the importance of user privacy, anonymity, and confidentiality in data contribution and retrieval in social networks. The author examines the different techniques used for privacy preservation and data protection in social networks, including data encryption, decryption, access control, authentication, and authorization. Through the use of machine learning, artificial intelligence, and big data analytics, the book explores how data analysis can be used to identify privacy risks and threats and how to mitigate them. The author examines the impact of privacy laws and regulations on data ownership, data access, and data control in social networks. The book provides insights into user behavior and user profiling in social networks and how to protect user data during data collection, processing, storage, and transmission. The author highlights the role of cryptography in ensuring the security of social network data and the importance of user identification and verification in network security. Overall, "Secure Social Network Data Mining" offers a comprehensive examination of the challenges and opportunities associated with data mining in social networks. The book provides practical solutions for protecting user privacy and securing social network data while extracting valuable insights from social network data for research, business, and other applications