Hybrid Developments in Cyber Security and Threat Analysis
This special issue belongs to the section "Computer Science & Engineering".
Special Issue Information
Dear Colleagues,
At present, network connectivity is a necessity for most people. The minimum requirements for data transfer are security and privacy. Additionally, intrusion, data poisoning, and port bombarding are common issues in network communication. Cyber attackers can build cyber armies that can pursue computationally challenging tasks by leveraging the untapped processing power of a very large number of everyday endpoints. Cyber-attacks are at an all-time high, even during the pandemic. The capability to detect, analyze, and defend against such threats in near-real-time conditions is not possible without the employment of threat intelligence, big data, and machine-learning techniques.
Prof. Dr. Ankit Chaudhary
Guest Editor
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Keywords
- detection and analysis of advanced threat actors’ tactics, techniques, and procedures
- analytic techniques for the detection and analysis of cyber threats
- application of machine-learning tools and techniques in cyber threat intelligence
- theories and models for the detection and analysis of advanced persistent threats
- automated and smart tools for the collection, preservation, and analysis of digital evidence
- threat intelligence techniques for constructing, detecting, and reacting to advanced intrusion campaigns
- applying machine-learning tools and techniques for malware analysis and fighting against cyber-crimes
- intelligent forensic tools, techniques, and procedures for cloud, mobile, and data-center forensics
- intelligent analysis of different types of data collected from different layers of network security solutions
- threat intelligence in the cyber security domain utilizing big data solutions such as hadoop
- intelligent methods to manage, share, and receive logs and data relevant to a variety of adversary groups
- interpretation of cyber threat and forensic data utilizing intelligent data analysis techniques
- infer intelligence of existing cyber security data generated using different monitoring and defense solutions
- automated and intelligent methods for adversary profiling
- automated integration of analyzed data within incident response and cyber forensics capabilities
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Published Papers
Electronics - ISSN 2079-9292