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Botnet Attack Detection in IoT Using Machine Learning
Computational Intelligence and Neuroscience, 2022 There are an increasing number of Internet of Things (IoT) devices connected to the network these days, and due to the advancement in technology, the security threads and cyberattacks, such as botnets, are emerging and evolving rapidly with high-risk ...
Khalid A. Alissa +5 more
semanticscholar +1 more source
Mokslas: Lietuvos Ateitis, 2012 Botnets are considered to be among the most dangerous modern malware types and the biggest current threats to global IT infrastructure. Botnets are rapidly evolving, and therefore forecasting their survivability strategies is important for the ...
Nikolaj Goranin +2 more
doaj +1 more source
Knowledge and Information SystemsDespite the growing research and development of botnet detection tools, an ever-increasing spread of botnets and their victims is being witnessed. Due to the frequent adaptation of botnets to evolving responses offered by host-based and network-based ...
Mehdi Asadi +2 more
semanticscholar +1 more source
A comparative analysis of using ensemble trees for botnet detection and classification in IoT
Scientific Reports, 2023 Enhancing IoT security is a corner stone for building trust in its technology and driving its growth. Limited resources and diversified nature of IoT devices make them vulnerable to attacks.
Mohamed Saied +2 more
semanticscholar +1 more source
Research on cloud-based traffic adaptive command and control method for mobile botnet
Tongxin xuebao, 2014 Botnet is a serious attack evolved from traditional malwares.With the rapid development of computing capability and mobile Internet access technology，building a realistic mobile botnet has become a potential threat.An adaptive traffic control mechanism ...
Wei CHEN, Shi-wen ZHOU, Cheng-yu YIN
doaj +2 more sources
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
doaj +1 more source
PLoS ONE, 2016 Botnet phenomenon in smartphones is evolving with the proliferation in mobile phone technologies after leaving imperative impact on personal computers. It refers to the network of computers, laptops, mobile devices or tablets which is remotely controlled
Ahmad Karim +2 more
doaj +1 more source
Botnet Detection Approach Using Graph-Based Machine Learning
IEEE Access, 2021 Detecting botnet threats has been an ongoing research endeavor. Machine Learning (ML) techniques have been widely used for botnet detection with flow-based features.
Afnan Alharbi, Khalid Alsubhi
doaj +1 more source
Robust Botnet DGA Detection: Blending XAI and OSINT for Cyber Threat Intelligence Sharing
IEEE Access, 2022 We investigated 12 years DNS query logs of our campus network and identified phenomena of malicious botnet domain generation algorithm (DGA) traffic.
Hatma Suryotrisongko +3 more
semanticscholar +1 more source
MalBoT-DRL: Malware Botnet Detection Using Deep Reinforcement Learning in IoT Networks
IEEE Internet of Things JournalIn the dynamic landscape of cyber threats, multistage malware botnets have surfaced as significant threats of concern. These sophisticated threats can exploit Internet of Things (IoT) devices to undertake an array of cyberattacks, ranging from basic ...
Mohammad Al-Fawa’reh +3 more
semanticscholar +1 more source