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Multilayer Framework for Botnet Detection Using Machine Learning Algorithms
IEEE Access, 2021 A botnet is a malware program that a hacker remotely controls called a botmaster. Botnet can perform massive cyber-attacks such as DDOS, SPAM, click-fraud, information, and identity stealing. The botnet also can avoid being detected by a security system.
Wan Nur Hidayah Ibrahim +6 more
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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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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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Botnets for Scalable Management [PDF]
, 2007 With an increasing number of devices that must be managed, the scalability of network and service management is a real challenge. A similar challenge seems to be solved by botnets which are the major security threats in today's Internet where a botmaster can control several thousands of computers around the world.
François, Jérôme +2 more
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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
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IEEE Access, 2023 Botnet detection in a cloud-aided Internet of Things (IoT) environment is a tedious process, meanwhile, IoT gadgets are extremely vulnerable to attacks due to poor security practices and limited computing resources.
Latifah Almuqren +5 more
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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
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High resistance botnet based on smart contract
网络与信息安全学报, 2021 The development and application of blockchain technology makes it possible to build a more robust and flexible botnet command and control channel. In order to better study this type of potential new botnet threats, a highly confrontational botnet model ...
ZHAO Hao, SHU Hui, KANG Fei, XING Ying
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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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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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