Guide to Vulnerability Analysis for Computer Networks and Systems: An Artificial Intelligence Approach

✍ Scribed by Simon Parkinson, Andrew Crampton, Richard Hill

• Publisher: Springer International Publishing
• Year: 2018
• Tongue: English
• Leaves: 381
• Series: Computer Communications and Networks
• Edition: 1st ed.
• Category: Library

✦ Synopsis

This professional guide and reference examines the challenges of assessing security vulnerabilities in computing infrastructure. Various aspects of vulnerability assessment are covered in detail, including recent advancements in reducing the requirement for expert knowledge through novel applications of artificial intelligence. The work also offers a series of case studies on how to develop and perform vulnerability assessment techniques using start-of-the-art intelligent mechanisms.

Topics and features: provides tutorial activities and thought-provoking questions in each chapter, together with numerous case studies; introduces the fundamentals of vulnerability assessment, and reviews the state of the art of research in this area; discusses vulnerability assessment frameworks, including frameworks for industrial control and cloud systems; examines a range of applications that make use of artificial intelligence to enhance the vulnerability assessment processes; presents visualisation techniques that can be used to assist the vulnerability assessment process.

In addition to serving the needs of security practitioners and researchers, this accessible volume is also ideal for students and instructors seeking a primer on artificial intelligence for vulnerability assessment, or a supplementary text for courses on computer security, networking, and artificial intelligence.

✦ Table of Contents

Front Matter ....Pages i-x
Front Matter ....Pages 1-1
Review into State of the Art of Vulnerability Assessment using Artificial Intelligence (Saad Khan, Simon Parkinson)....Pages 3-32
A Survey of Machine Learning Algorithms and Their Application in Information Security (Mark Stamp)....Pages 33-55
Front Matter ....Pages 57-57
Vulnerability Assessment of Cyber Security for SCADA Systems (Kyle Coffey, Leandros A. Maglaras, Richard Smith, Helge Janicke, Mohamed Amine Ferrag, Abdelouahid Derhab et al.)....Pages 59-80
A Predictive Model for Risk and Trust Assessment in Cloud Computing: Taxonomy and Analysis for Attack Pattern Detection (Alexandros Chrysikos, Stephen McGuire)....Pages 81-99
AI- and Metrics-Based Vulnerability-Centric Cyber Security Assessment and Countermeasure Selection (Igor Kotenko, Elena Doynikova, Andrey Chechulin, Andrey Fedorchenko)....Pages 101-130
Artificial Intelligence Agents as Mediators of Trustless Security Systems and Distributed Computing Applications (Steven Walker-Roberts, Mohammad Hammoudeh)....Pages 131-155
Front Matter ....Pages 157-157
Automated Planning of Administrative Tasks Using Historic Events: A File System Case Study (Saad Khan, Simon Parkinson)....Pages 159-182
Defending Against Chained Cyber-Attacks by Adversarial Agents (Vivin Paliath, Paulo Shakarian)....Pages 183-209
Vulnerability Detection and Analysis in Adversarial Deep Learning (Yi Shi, Yalin E. Sagduyu, Kemal Davaslioglu, Renato Levy)....Pages 211-234
SOCIO-LENS: Spotting Unsolicited Caller Through Network Analysis (Muhammad Ajmal Azad, Junaid Arshad, Farhan Riaz)....Pages 235-258
Function Call Graphs Versus Machine Learning for Malware Detection (Deebiga Rajeswaran, Fabio Di Troia, Thomas H. Austin, Mark Stamp)....Pages 259-279
Detecting Encrypted and Polymorphic Malware Using Hidden Markov Models (Dhiviya Dhanasekar, Fabio Di Troia, Katerina Potika, Mark Stamp)....Pages 281-299
Masquerade Detection on Mobile Devices (Swathi Nambiar Kadala Manikoth, Fabio Di Troia, Mark Stamp)....Pages 301-315
Identifying File Interaction Patterns in Ransomware Behaviour (Liam Grant, Simon Parkinson)....Pages 317-335
Front Matter ....Pages 337-337
A Framework for the Visualisation of Cyber Security Requirements and Its Application in BPMN (Bo Zhou, Curtis Maines, Stephen Tang, Qi Shi)....Pages 339-366
Big Data and Cyber Security: A Visual Analytics Perspective (Suvodeep Mazumdar, Jing Wang)....Pages 367-381
Back Matter ....Pages 383-384

✦ Subjects

Computer Science; Computer Communication Networks; Systems and Data Security; Performance and Reliability; Information Systems and Communication Service; Cognitive Psychology