Results 21 to 30 of about 5,992 (166)
Large-scale Malicious P2P Botnet Node Detection Technology Based on Challenge Strategy [PDF]
Jisuanji gongcheng, 2016 Traditional botnet detection technologies mainly detect botnet nodes in specified area network on the hosts or the border of gateway export,which have small scale and low detection efficiency.To efficiently execute Peer-to-Peer(P2P) network botnet node ...
LI Jing,YAO Yiyang,LU Xindai,QIAO Yong
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Design of Universal Botnet Experimental Platform [PDF]
Jisuanji gongcheng, 2018 Botnet research in open networks has many drawbacks,such as uncontrollable process,difficult to scale,and unable to repeat experiments.In order to solve this problem,the requirement and design principle of the universal botnet experimental platform with ...
LI Dawei
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Botnet Detection Method Based on Graph Reconstruction and Subgraph Mining [PDF]
Zhengzhou Daxue xuebao. Gongxue banAiming at the problem that disguised botnet hosts are difficult to detect, a botnet detection method based on graph reconstruction and subgraph mining (GR-SGM) was proposed. Firstly, network data was converted into graph data which was reconstructed to
JING Yongjun +3 more
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Review of Botnet Attack Detection in SDN-Enabled IoT Using Machine Learning
Sensors, 2022 The orchestration of software-defined networks (SDN) and the internet of things (IoT) has revolutionized the computing fields. These include the broad spectrum of connectivity to sensors and electronic appliances beyond standard computing devices ...
Worku Gachena Negera +4 more
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A Meta-Classification Model for Optimized ZBot Malware Prediction Using Learning Algorithms
Mathematics, 2023 Botnets pose a real threat to cybersecurity by facilitating criminal activities like malware distribution, attacks involving distributed denial of service, fraud, click fraud, phishing, and theft identification.
Shanmugam Jagan +6 more
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IEEE Access, 2019 Botnet detection, vulnerability mining and confrontation bring many challenges to network security, and become the main dangerous source threatening economic development and causing significant economic losses. To solve these problems, we combine machine
Zenan Chu, Yi Han, Kai Zhao
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A novel hybrid feature selection and ensemble-based machine learning approach for botnet detection
Scientific Reports, 2023 In the age of sophisticated cyber threats, botnet detection remains a crucial yet complex security challenge. Existing detection systems are continually outmaneuvered by the relentless advancement of botnet strategies, necessitating a more dynamic and ...
Md. Alamgir Hossain, Md. Saiful Islam
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Security Hardening of Botnet Detectors Using Generative Adversarial Networks
IEEE Access, 2021 Machine learning (ML) based botnet detectors are no exception to traditional ML models when it comes to adversarial evasion attacks. The datasets used to train these models have also scarcity and imbalance issues. We propose a new technique named Botshot,
Rizwan Hamid Randhawa +4 more
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Hybrid Botnet Detection Based on Host and Network Analysis
Journal of Computer Networks and Communications, 2020 Botnet is one of the most dangerous cyber-security issues. The botnet infects unprotected machines and keeps track of the communication with the command and control server to send and receive malicious commands.
Suzan Almutairi +3 more
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Botne and Botnet Detection Survey [PDF]
, 2013 Among the various forms of malware, Botnets are emerging as the most serious threat, Botnets, remotely controlled by the attackers, and whose members are located in homes, schools, businesses, and governments around the world.
Maisireem Kamal, Manar Ahmad
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