Results 31 to 40 of about 11,129 (248)
Intelligent Detection of IoT Botnets Using Machine Learning and Deep Learning
Applied Sciences, 2020 As the number of Internet of Things (IoT) devices connected to the network rapidly increases, network attacks such as flooding and Denial of Service (DoS) are also increasing.
Ji Yeon Kim +4 more
semanticscholar +1 more source
An Adaptive Multi-Layer Botnet Detection Technique Using Machine Learning Classifiers
Applied Sciences, 2019 In recent years, the botnets have been the most common threats to network security since it exploits multiple malicious codes like a worm, Trojans, Rootkit, etc. The botnets have been used to carry phishing links, to perform attacks and provide malicious
Riaz Ullah Khan +5 more
doaj +1 more source
Sensors, 2023 In this study, the methodology of cyber-resilience in small and medium-sized organizations (SMEs) is investigated, and a comprehensive solution utilizing prescriptive malware analysis, detection and response using open-source solutions is proposed for ...
Lucian Florin Ilca +2 more
doaj +1 more source
Computers & security, 2020 The insecurity of the Internet-of-Things (IoT) paradigm continues to wreak havoc in consumer and critical infrastructures. The highly heterogeneous nature of IoT devices and their widespread deployments has led to the rise of several key security and ...
Morteza Safaei Pour +8 more
semanticscholar +1 more source
Stochastic Modeling of IoT Botnet Spread: A Short Survey on Mobile Malware Spread Modeling
IEEE Access, 2020 The Internet of Things (IoT) devices are being widely deployed and have been targeted and victimized by malware attacks. The mathematical modelling for an accurate prediction of malicious spreads of botnets across IoT networks is of great importance ...
Arash Mahboubi +2 more
doaj +1 more source
Botnet Detection Technology Based on DNS
Future Internet, 2017 With the help of botnets, intruders can implement a remote control on infected machines and perform various malicious actions. Domain Name System (DNS) is very famous for botnets to locate command and control (C and C) servers, which enormously ...
Xingguo Li, Junfeng Wang, Xiaosong Zhang
doaj +1 more source
Collaborative Framework for Early Detection of RAT-Bots Attacks
IEEE Access, 2019 Attackers tend to use Remote Access Trojans (RATs) to compromise and control a targeted computer, which makes the RAT detection as an active research field.
Ahmed A. Awad +2 more
doaj +1 more source
Botnet: Classification, Attacks, Detection, Tracing, and Preventive Measures
EURASIP Journal on Wireless Communications and Networking, 2009 Botnets become widespread in wired and wireless networks, whereas the relevant research is still in the initial stage. In this paper, a survey of botnets is provided. We first discuss fundamental concepts of botnets, including formation and exploitation,
Ghaboosi Kaveh +4 more
doaj +2 more sources
MaskDGA: An Evasion Attack Against DGA Classifiers and Adversarial Defenses
IEEE Access, 2020 Domain generation algorithms (DGAs) are commonly used by botnets to generate domain names that bots can use to establish communication channels with their command and control servers.
Lior Sidi, Asaf Nadler, Asaf Shabtai
doaj +1 more source
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.
openaire +1 more source