Manuscript Due

Feb. 28, 2018 (in 5 months)

Description

In today’s Internet-connected world where technologies underpin almost every facet of our society, cyber security and forensics specialists are increasingly dealing with wide ranging cyber threats in almost real-time conditions. The capability to detect, analyze and defend against such threats in near real-time conditions is not possible without employment of threat intelligence, big data and machine learning techniques. For example, when a significant amount of data is collected from or generated by different security monitoring solutions, intelligent and next generation big-data analytical techniques are necessary to mine, interpret and extract knowledge of these unstructured/structured (big) data. Thus, this gives rise to cyber threat intelligence and analytics solutions, such as big data, artificial intelligence and machine learning, to perceive, reason, learn and act against cyber adversaries tactics, techniques and procedures.

Topics of interest include:
  • Detection and analysis of advanced threat actors tactics, techniques and procedures
  • Analytics techniques for detection and analysis of cyber threats
  • Application of machine learning tools and techniques in cyber threat intelligence
  • Theories and models for detection and analysis of advanced persistent threats
  • Automated and smart tools for collection, preservation and analysis of digital evidences
  • Threat intelligence techniques for constructing, detecting, and reacting to advanced intrusion campaigns
  • Applying machines learning tools and techniques for malware analysis and fighting against cyber crimes
  • Intelligent forensics tools, techniques and procedures for cloud, mobile and data-centre forensics
  • Intelligent analysis of different types of data collected from different layers of network security solutions
  • Threat intelligence in cyber security domain utilising big data solutions such as Hadoop
  • Intelligent methods to manage, share, and receive logs and data relevant to variety of adversary groups
  • Interpretation of cyber threat and forensic data utilising intelligent data analysis techniques
  • Infer intelligence of existing cyber security data generated by different monitoring and defense solutions
  • Automated and intelligent methods for adversary profiling
  • Automated integration of analysed data within incident response and cyber forensics capabilities

Lead Guest Editor

  • Zheng Xu, TRIMPS & Tsinghua University, China

Guest Editor

  • Yong Ding, Guilin University of Electronic Technology, China

Topic Category

EURASIP Journal on Information Security