Results 31 to 40 of about 13,488 (258)
Security Hardening of Botnet Detectors Using Generative Adversarial Networks
IEEE Access, 2021 Machine learning (ML) based botnet detectors are no exception to traditional ML models when it comes to adversarial evasion attacks. The datasets used to train these models have also scarcity and imbalance issues. We propose a new technique named Botshot,
Rizwan Hamid Randhawa +4 more
doaj +1 more source
Engineer, 2023 The transmission of information, ideas, and thoughts requires communication, which is a crucial component of human contact. The utilization of Internet of Things (IoT) devices is a result of the advent of enormous volumes of messages delivered over the ...
S. Afrifa +4 more
semanticscholar +1 more source
XG-BoT: An Explainable Deep Graph Neural Network for Botnet Detection and Forensics [PDF]
Internet of Things, 2022 In this paper, we propose XG-BoT, an explainable deep graph neural network model for botnet node detection. The proposed model comprises a botnet detector and an explainer for automatic forensics.
Wai Weng Lo +3 more
semanticscholar +1 more source
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
doaj +1 more source
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
doaj +3 more sources
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
doaj +1 more source
Hybrid Botnet Detection Based on Host and Network Analysis
Journal of Computer Networks and Communications, 2020 Botnet is one of the most dangerous cyber-security issues. The botnet infects unprotected machines and keeps track of the communication with the command and control server to send and receive malicious commands.
Suzan Almutairi +3 more
doaj +1 more source
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
doaj +1 more source
Reliable Machine Learning Model for IIoT Botnet Detection
IEEE Access, 2023 Due to the growing number of Industrial Internet of Things (IoT) devices, network attacks like denial of service (DoS) and floods are rising for security and reliability issues.
Fatma Taher +3 more
semanticscholar +1 more source
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
doaj +1 more source