Results 21 to 30 of about 1,396 (174)
Machine Learning-Based IoT-Botnet Attack Detection with Sequential Architecture
Sensors, 2020 With the rapid development and popularization of Internet of Things (IoT) devices, an increasing number of cyber-attacks are targeting such devices. It was said that most of the attacks in IoT environments are botnet-based attacks.
Yan Naung Soe +4 more
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An Accurate Detection Approach for IoT Botnet Attacks Using Interpolation Reasoning Method
Information, 2022 Nowadays, the rapid growth of technology delivers many new concepts and notations that aim to increase the efficiency and comfort of human life. One of these techniques is the Internet of Things (IoT). The IoT has been used to achieve efficient operation
Mohammad Almseidin, Mouhammd Alkasassbeh
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A Botnet Detecting Infrastructure Using a Beneficial Botnet [PDF]
Proceedings of the 2018 ACM SIGUCCS Annual Conference, 2018 A beneficial botnet, which tries to cope with technology of malicious botnets such as peer to peer (P2P) networking and Domain Generation Algorithm (DGA), is discussed. In order to cope with such botnets' technology, we are developing a beneficial botnet as an anti-bot measure, using our previous beneficial bot.
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Intelligent Botnet Traffic Detection Method Based on Multi-granularity Statistical Features [PDF]
Jisuanji kexueWith the rapid development of information technology,botnet attacks have become a higly harmful cyber security threat.Botnet detection and disposal can prevent attackers from launching other derivative attacks based on botnets.The current botnet ...
ZHANG Haixia, HUANG Kezhen, LIAN Yifeng, ZHAO Changzhi, YUAN Yunjing, PENG Yuanyuan
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Botnet dataset with simultaneous attack activity
Data in Brief, 2022 The proposed dataset shows characteristics of simultaneous botnet attack activities. Botnet network traffic has sequentially interconnected as formed as bidirectional network flow (binetflow), which is combined with normal activities.
Muhammad Aidiel Rachman Putra +2 more
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An anomaly-based botnet detection approach for identifying stealthy botnets [PDF]
2011 IEEE International Conference on Computer Applications and Industrial Electronics (ICCAIE), 2011 Botnets (networks of compromised computers) are often used for malicious activities such as spam, click fraud, identity theft, phishing, and distributed denial of service (DDoS) attacks. Most of previous researches have introduced fully or partially signature-based botnet detection approaches.
Sajjad Arshad +3 more
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Sonification of Network Traffic for Detecting and Learning About Botnet Behavior
IEEE Access, 2018 Today's computer networks are under increasing threat from malicious activity. Botnets (networks of remotely controlled computers, or “bots”) operate in such a way that their activity superficially resembles normal network traffic which ...
Mohamed Debashi, Paul Vickers
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Computers, 2020 As the popularity of social network service (SNS) messengers (such as Telegram, WeChat or KakaoTalk) grows rapidly, cyberattackers and cybercriminals start targeting them, and from various media, we can see numerous cyber incidents that have occurred in ...
Jun Park, Youngho Cho
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International Journal for Research in Applied Science and Engineering Technology, 2023 Abstract: Android, being the most widespread mobile operating systems is in- creasingly becoming a target for malware. Malicious apps designed to turn mobile devices into bots that may form part of a larger botnet have become quite common, thus posing a serious threat.
Pranay Jadhav +4 more
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Applications of Artificial Intelligence to Detect Android Botnets: A Survey
IEEE Access, 2022 From the growing popularity of Android smart devices, and especially with the recent advances brought on by the COVID-19 pandemic on digital adoption and transformation, the importance of protecting these devices has grown, as they carry very sensitive ...
Abdullah M. Almuhaideb +1 more
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