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Cyber Security Intelligence and Analytics

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.

Edited by: Zheng Xu, Yong Ding

  1. This paper first gives a regularity theorem and its corollary. Then, a new construction of generating hard random lattices with short bases is obtained by using this corollary. This construction is from a new ...

    Authors: Chengli Zhang, Wenping Ma, Hefeng Chen and Feifei Zhao
    Citation: EURASIP Journal on Information Security 2019 2019:8
  2. By analyzing multi-sensor information fusion system and hall for workshop of meta-synthetic engineering (HWME) essentially, a universal information fusion system of HWME based on multi-sensor is put forward. A...

    Authors: Guang Yang, Shuofeng Yu and Shouwen Wen
    Citation: EURASIP Journal on Information Security 2017 2017:18
  3. In modern times, people have paid more attention to their private information. The data confidentiality is very important in many economic aspects. In this paper, we proposed a secure auction system, in which ...

    Authors: Zhen Guo, Yu Fu and Chunjie Cao
    Citation: EURASIP Journal on Information Security 2017 2017:16