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BotDet: A System for Real Time Botnet Command and Control Traffic Detection
2018
IEEE Access
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This paper presents a novel approach, called BotDet, for botnet Command and Control (C&C) traffic detection to defend against malware attacks in critical ultrastructure systems. ...
INDEX TERMS Critical infrastructure security, healthcare cyber attacks, malware, botnet, command and control server, intrusion detection system, alert correlation. ...
.: BotDet: System for Real Time Botnet C&C Traffic Detection followed by paying attention to the source and destination IP addresses as shown in Algorithm 1. ...
doi:10.1109/access.2018.2846740
fatcat:cjbw427ko5dyhd3qir266ufwwu
HTTP-Based APT Malware Infection Detection Using URL Correlation Analysis
2021
Security and Communication Networks
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We have also conducted experiments to compare our approach against Jiang's method, MalHunter, and BotDet, and the experimental results have confirmed that our detection approach has a better performance ...
The experimental results have shown that the URL-correlation-based APT malware traffic detection method can correctly detect 96.08% APT malware traffic, and its recall rate is 98.87%. ...
on the infected device to remotely control and steal confidential data for a long period of time. ...
doi:10.1155/2021/6653386
fatcat:yt34igljfncn5g5jmrl7wglmpq
REMaDD: Resource-Efficient Malicious Domains Detector in Large-Scale Networks
2020
IEEE Access
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A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
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INDEX TERMS Cyber security, domain name system (DNS), detection algorithms, real-time algorithms. ...
Second, the development used real live streaming data from The Inter-University Computation Center (IUCC), and operated on real-time IBM system. ...
For instance, in [24] , the authors introduced the BotDet system which is a real-time system for detecting traffic related to botnets command and control servers. ...
doi:10.1109/access.2020.2985367
fatcat:7mf5c7xtxbbdtlmvz5agblz2y4