Results 21 to 30 of about 4,058 (202)

Bots in Public Arenas of Social Networks

open access: yesСоциологический журнал, 2021
In the study of social bots, one of the important trends is the transition from a technology-centered understanding of bots as a threat to information and computer security to a broader, socially-focused understanding of bots as a new tool of ...
Valeriya V. Vasilkova   +1 more
doaj   +1 more source

Botnets: How to fight the ever-growing threat on a technical level

open access: yes, 2022
S.41-97Today's malware, short term for malicious software, poses one of the major threats to all currently operated computer systems. The scale of the problem becomes obvious by looking at the global economic loss caused by different kinds of malware ...
Tiirmaa-Klaar, Heli   +3 more
core   +1 more source

Machine Learning-Based IoT-Botnet Attack Detection with Sequential Architecture

open access: yesSensors, 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
doaj   +1 more source

Review of Botnet Attack Detection in SDN-Enabled IoT Using Machine Learning

open access: yesSensors, 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

Enhancing Cyber-Resilience for Small and Medium-Sized Organizations with Prescriptive Malware Analysis, Detection and Response

open access: yesSensors, 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

An Adaptive Multi-Layer Botnet Detection Technique Using Machine Learning Classifiers

open access: yesApplied 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

Stochastic Modeling of IoT Botnet Spread: A Short Survey on Mobile Malware Spread Modeling

open access: yesIEEE 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

Effects of Botnets – A Human-Organisational Approach [PDF]

open access: yes, 2021
Botnets, the remotely controlled networks of computers with malicious aims, have significantly affected the international order from Ukraine to the United States in recent years.
Szádeczky, Tamás, Bederna, Zsolt
core   +2 more sources

A Survey on Botnets: Incentives, Evolution, Detection and Current Trends

open access: yesFuture Internet, 2021
Botnets, groups of malware-infected hosts controlled by malicious actors, have gained prominence in an era of pervasive computing and the Internet of Things.
Simon Nam Thanh Vu   +4 more
doaj   +1 more source

MaskDGA: An Evasion Attack Against DGA Classifiers and Adversarial Defenses

open access: yesIEEE 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

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