Big Data Analytics in Cybersecurity

ISBN-13: 9781498772129 / Angielski / Twarda / 2017 / 336 str.

Onur Savas; Julia Deng

Opis

Big data analytics provide more accurate, timely, and actionable decisions for both cybersecurity and IT management. This book gives a comprehensive coverage of state-of-the-art big data analytics in cybersecurity and IT management. The topics include threat analysis, vulnerability identification, mission analysis, network monitoring, network management, visualization, and cybertraining. Each topic is examined in detail in a case study. Written and edited by leading experts from industry, academia, and government, the book is an indespensible reference for academics and professionals.

Spis treści

Applying Big Data into Different Cybersecurity Aspects. The Power of Big Data in Cybersecurity. Big Data for Network Forensics. Dynamic Analytics-Driven Assessment of Vulnerabilities and Exploitation. Root Cause Analysis for Cybersecurity. Data Visualization for Cybersecurity. Cybersecurity Training. Machine Unlearning: Repairing Learning Models in Adversarial Environments. Big Data in Emerging Cybersecurity Domains. Big Data Analytics for Mobile App Security. Security, Privacy, and Trust in Cloud Computing. Cybersecurity in Internet of Things (IoT). Big Data Analytics for Security in Fog Computing. Analyzing Deviant Socio-Technical Behaviors Using Social Network Analysis and Cyber Forensics-Based Methodologies. Tools and Datasets for Cybersecurity. Security Tools. Data and Research Initiatives for Cybersecurity Analysis. Index.