Trust, Security and Privacy for Big Data

ISBN-13: 9781032047508 / Angielski / Twarda / 2022 / 204 str.

Mamoun Alazab; Maanak Gupta

Opis

The book provides timely and comprehensive information for researchers and industry partners in communications and networking domains to review the latest results in security and privacy related work of big data.

Spis treści

1. DigImoPriv: A Big Data Framework for Preserving Privacy of Digital Immortals 2. Federated Learning Role in Big Data, Iot Services and Applications Security, Privacy and Trust in Iot: A Survey 3. From the Cloud to the Edge: Towards a Distributed and Light Weight Secure Big Data Pipelines for IoT Applications 4. Ground Point Filtering and Digital Terrain Model Generation using LiDAR Data 5. Predictive Big Data Analytics and Privacy based Decision Support System 6. Fingerprinting Based Positioning Techniques Using Machine Learning Algorithms: Principles, Approaches and Challenges 7. Recent Advancements in Network and Cyber Security using RNN 8. A Big Data Framework for Dynamic Consent 9. A Low-Level Hybrid Intrusion Detection System Based on Hardware Performance Counters 10. Comparative Study on Machine Learning Methods to Detect Metamorphic Threats