Results 11 to 20 of about 2,784,569 (167)
Botnet detection based on generative adversarial network [PDF]
Tongxin xuebao, 2021 In order to solve the problems of botnets’ strong concealment and difficulty in identification, and improve the detection accuracy of botnets, a botnet detection method based on generative adversarial networks was proposed.By reorganizing the data ...
Futai ZOU +3 more
doaj +4 more sources
BOTNET DETECTION USING INDEPENDENT COMPONENT ANALYSIS [PDF]
International Islamic University Malaysia Engineering Journal, 2022 Botnet is a significant cyber threat that continues to evolve. Botmasters continue to improve the security framework strategy for botnets to go undetected.
Wan Nurhidayah Ibrahim +3 more
doaj +2 more sources
دراسة حول الکشف عن Botne و Botnet [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 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.
Manar Y. Ahmad, Maisireem A. Kamal
doaj +2 more sources
Deep Learning Techniques for Android Botnet Detection [PDF]
, 2021 open access articleAndroid is increasingly being targeted by malware since it has become the most popular mobile operating system worldwide. Evasive malware families, such as Chamois, designed to turn Android devices into bots that form part of a larger ...
Yerima, Suleiman +7 more
core +1 more source
A mobile botnet detection and response model [PDF]
, 2017 Mobile botnet exploitation in smartphone could implicate to the leakage of sensitive and private information, loss of financial and degradation of smartphone’s performance thus affecting organisations or users that rely on smartphones for business and ...
Azlina Md. Yassin +6 more
core +2 more sources
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
doaj +1 more source
IoT Botnet Detection using Machine Learning Techniques [PDF]
, 2020 The widespread use of the internet of things (IoT) has led to serious security problems such as the denial of service (DoS) attack caused by a large group of compromised IoT devices.
Jagannath, Suhas
core +3 more sources
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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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
doaj +1 more source
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
doaj +1 more source