Advances in Cyber Security Analytics and Decision Systems (EAI/Springer Innovations in Communication and Computing)

✍ Scribed by Shishir K. Shandilya (editor), Neal Wagner (editor), Atulya K. Nagar (editor)

• Publisher: Springer
• Year: 2020
• Tongue: English
• Leaves: 153
• Edition: 1st ed. 2020
• Category: Library

✦ Synopsis

This book contains research contributions from leading cyber security scholars from around the world. The authors provide comprehensive coverage of various cyber security topics, while highlighting recent trends. The book also contains a compendium of definitions and explanations of concepts, processes, acronyms, and comprehensive references on existing literature and research on cyber security and analytics, information sciences, decision systems, digital forensics, and related fields. As a whole, the book is a solid reference for dynamic and innovative research in the field, with a focus on design and development of future-ready cyber security measures. Topics include defenses against ransomware, phishing, malware, botnets, insider threats, and many others.

✦ Table of Contents

Preface
Contents
About the Editors
Adaptive Attacker Strategy Development Against Moving Target Cyber Defenses
1 Introduction
2 Methods
2.1 Attacker–Defender Game Scenario
2.2 Finite State Machine Strategy Encoding
2.3 Evolutionary Algorithm
3 Experiments
3.1 Simulation Initialization
3.2 Attacker’s Response to Diversity and Randomization Defense
3.3 Patterns of Attacker Investment in Zero-Day Exploit Creation
3.4 Engagement Duration Effects
4 Conclusion
References
Deep Reinforcement Learning for Adaptive Cyber Defense and Attacker’s Pattern Identification
1 Introduction
2 Related Works
3 Research Method and Material
4 Result and Discussion
5 Conclusion and Future Works
References
Dynamic Recognition of Phishing URLs Using Deep Learning Techniques
1 Introduction
1.1 Problem Statement
1.2 Background and Motivation
1.3 Challenges in Detecting Phishing URLs
1.4 Objective of Study
1.5 Scope and Limitation
2 Literature Review
2.1 Phishing URL Detection Methods
3 Proposed Approach
3.1 URL Collection
3.2 Preprocessing and Feature Extraction
3.3 Pre-training of the Features and Feature Selection
3.3.1 Deep Boltzmann Machine-Based Feature Selection
3.3.2 Deep Stacked Auto-Encoder-Based Feature Selection
3.4 Detection and Classification
4 Experimental Results
4.1 Data Sets
4.1.1 Conventional Dataset
4.1.2 Phishing Dataset
4.2 Effect of Dynamic Feature Extraction and Pre-training
4.3 Experimental Results on Feature Selection
4.4 Evaluation Measures
4.5 Comparison of Deep Learning Results with Machine Learning Techniques
4.5.1 R and RStudio (Statistical & Qualitative Data Analysis Software 2019)
5 Conclusion
References
Efficient Reconfigurable Integrated Cryptosystems for Cybersecurity Protection
1 Introduction
1.1 Effective Utilization of Existing Cryptographic Mechanisms
1.2 Consideration of the Application Areas
1.3 Attack Types and the Required Cryptographic Security Services
1.4 End-to-End Security
1.5 Implementation Platforms
2 Related Works
3 The Selected Algorithms
3.1 Cryptographic Algorithms Selected for High-Performance Platforms’ Security
3.2 Cryptographic Algorithms Selected for Constrained Devices’ Security
4 Implementation of Integrated Cryptosystems for High- Performance Platforms
4.1 Description of the Method
4.2 Implementation Approaches
4.3 Results
5 Healthcare IoT Comprising Constrained and High- Performance Platforms
5.1 The Proposed Method
5.2 Implementation Approaches
5.3 Results
6 Conclusions
References
Data Analytics for Security Management of Complex Heterogeneous Systems: Event Correlation and Security Assessment Tasks
1 Introduction
2 The Peculiarities of Event Correlation and Security Assessment
3 Related Work
4 The Proposed Approaches to Security Event Correlation and Security Assessment
4.1 Security Data Correlation
4.2 Security Assessment
4.2.1 Input Data Collection
4.2.2 Calculation of Security Metrics
Assets Criticality Assessment
Probability Assessment
Security Incidents Processing
4.2.3 Definition of Security Level
5 Experiments and Discussion
5.1 Identification of Event Types
5.2 Identification of Property and Assets Types
6 Conclusion
References
Cybersecurity Technologies for the Internet of Medical Wearable Devices (IoMWD)
1 Introduction
2 Internet of Medical Wearable Devices (IoMWD) Security Vulnerability Analysis
3 Technologies and Architectures for Secure IoMWD
4 IoT Edge and Cloud Cyberattacks
5 IoMWD Cybersecurity Framework
6 Future Challenges on IoMWD Security
References
Index