Security and Privacy for Big Data, Cloud Computing and Applications

This book examines various topics and approaches related to the security and privacy in big data and cloud computing, where authors share their expertise in their respective chapters on a broad range of security and privacy challenges and state of the art solutions.

Sommario

• Chapter 1: Privacy preserving in big data


• Chapter 2: Privacy-preserving analysis for big data using cryptographic tools


• Chapter 3: Big data security in Internet of Things


• Chapter 4: A watermark-based in situ access-control model for image big data


• Chapter 5: Blockchain-based security and access control for BIM big data


• Chapter 6: Security of marine-information system


• Chapter 7: A layered security architecture based on cyber kill chain against advanced persistent threats


• Chapter 8: Privacy-aware digital forensics


• Chapter 9: A survey of trust, trustworthiness and trustworthy computing: concepts, models and challenges


• Chapter 10: Software-defined mobile networks security


• Chapter 11: Dynamic public opinion evolvement modeling and supervision in social networks


• Chapter 12: Privacy verification of PhotoDNA based on machine learning


• Chapter 13: Chaos-based communication systems

Dettagli sul prodotto

• Con la collaborazione di: Kim-Kwang Raymond Choo (Editore), Wei Ren (Editore), Lizhe Wang (Editore)
• Editore: Institution of Engineering & Technology
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 31.10.2019
• EAN: 9781785617478
• ISBN: 978-1-78561-747-8
• Pagine: 328
• Dimensioni: 160 mm x 239 mm x 23 mm
• Peso: 635 g
• Serie: Computing and Networks
• Categorie: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Tematiche generali, enciclopedie; COMPUTERS / Security / General, Computers - Computer Security