Tracking the Insider Attacker: A Blockchain Traceability System for Insider Threats

The insider threats have always been one of the most severe challenges to cybersecurity. It can lead to the destruction of the organisation’s internal network system and information leakage, which seriously threaten the confidentiality, integrity and availability of data. To make matters worse, sinc...

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Main Authors: Teng Hu, Bangzhou Xin, Xiaolei Liu, Ting Chen, Kangyi Ding, Xiaosong Zhang
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/20/18/5297
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author Teng Hu
Bangzhou Xin
Xiaolei Liu
Ting Chen
Kangyi Ding
Xiaosong Zhang
author_facet Teng Hu
Bangzhou Xin
Xiaolei Liu
Ting Chen
Kangyi Ding
Xiaosong Zhang
author_sort Teng Hu
collection DOAJ
description The insider threats have always been one of the most severe challenges to cybersecurity. It can lead to the destruction of the organisation’s internal network system and information leakage, which seriously threaten the confidentiality, integrity and availability of data. To make matters worse, since the attacker has authorized access to the internal network, they can launch the attack from the inside and erase their attack trace, which makes it challenging to track and forensics. A blockchain traceability system for insider threats is proposed in this paper to mitigate the issue. First, this paper constructs an insider threat model of the internal network from a different perspective: insider attack forensics and prevent insider attacker from escaping. Then, we analyze why it is difficult to track attackers and obtain evidence when an insider threat has occurred. After that, the blockchain traceability system is designed in terms of data structure, transaction structure, block structure, consensus algorithm, data storage algorithm, and query algorithm, while using differential privacy to protect user privacy. We deployed this blockchain traceability system and conducted experiments, and the results show that it can achieve the goal of mitigating insider threats.
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spelling doaj.art-51dcd29162d244db935b862fe8ed97ee2023-11-20T13:55:34ZengMDPI AGSensors1424-82202020-09-012018529710.3390/s20185297Tracking the Insider Attacker: A Blockchain Traceability System for Insider ThreatsTeng Hu0Bangzhou Xin1Xiaolei Liu2Ting Chen3Kangyi Ding4Xiaosong Zhang5Institute for Cyber Security, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaInstitute of Computer Application, China Academy of Engineering Physics, Mianyang 621900, ChinaInstitute of Computer Application, China Academy of Engineering Physics, Mianyang 621900, ChinaInstitute for Cyber Security, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaInstitute for Cyber Security, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaInstitute for Cyber Security, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaThe insider threats have always been one of the most severe challenges to cybersecurity. It can lead to the destruction of the organisation’s internal network system and information leakage, which seriously threaten the confidentiality, integrity and availability of data. To make matters worse, since the attacker has authorized access to the internal network, they can launch the attack from the inside and erase their attack trace, which makes it challenging to track and forensics. A blockchain traceability system for insider threats is proposed in this paper to mitigate the issue. First, this paper constructs an insider threat model of the internal network from a different perspective: insider attack forensics and prevent insider attacker from escaping. Then, we analyze why it is difficult to track attackers and obtain evidence when an insider threat has occurred. After that, the blockchain traceability system is designed in terms of data structure, transaction structure, block structure, consensus algorithm, data storage algorithm, and query algorithm, while using differential privacy to protect user privacy. We deployed this blockchain traceability system and conducted experiments, and the results show that it can achieve the goal of mitigating insider threats.https://www.mdpi.com/1424-8220/20/18/5297blockchaininsider threattraceability systemdifferential privacy
spellingShingle Teng Hu
Bangzhou Xin
Xiaolei Liu
Ting Chen
Kangyi Ding
Xiaosong Zhang
Tracking the Insider Attacker: A Blockchain Traceability System for Insider Threats
Sensors
blockchain
insider threat
traceability system
differential privacy
title Tracking the Insider Attacker: A Blockchain Traceability System for Insider Threats
title_full Tracking the Insider Attacker: A Blockchain Traceability System for Insider Threats
title_fullStr Tracking the Insider Attacker: A Blockchain Traceability System for Insider Threats
title_full_unstemmed Tracking the Insider Attacker: A Blockchain Traceability System for Insider Threats
title_short Tracking the Insider Attacker: A Blockchain Traceability System for Insider Threats
title_sort tracking the insider attacker a blockchain traceability system for insider threats
topic blockchain
insider threat
traceability system
differential privacy
url https://www.mdpi.com/1424-8220/20/18/5297
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