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Detecting a botnet in a network [PDF]
Mathematical Statistics and Learning, 2021 We formalize the problem of detecting the presence of a botnet in a network as a hypothesis testing problem where we observe a single instance of a graph. The null hypothesis, corresponding to the absence of a botnet, is modeled as a random geometric graph where every vertex is assigned a location on a
Gianmarco Bet +3 more
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DETECTING WEB-BASED BOTNETS USING A WEB PROXY AND A CONVOLUTIONAL NEURAL NETWORK
Tạp chí Khoa học Đại học Đà Lạt, 2020 Botnets are increasingly becoming the most dangerous threats in the field of network security, and many different approaches to detecting attacks from botnets have been studied.
Trần Đắc Tốt +2 more
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Autonomous machine learning for early bot detection in the internet of things
Digital Communications and Networks, 2023 The high costs incurred due to attacks and the increasing number of different devices in the Internet of Things (IoT) highlight the necessity of the early detection of botnets (i.e., a network of infected devices) to gain an advantage against attacks ...
Alex Medeiros Araujo +2 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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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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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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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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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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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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