Results 11 to 20 of about 958 (168)
Adaptive secure malware efficient machine learning algorithm for healthcare data
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract Malware software now encrypts the data of Internet of Things (IoT) enabled fog nodes, preventing the victim from accessing it unless they pay a ransom to the attacker. The ransom injunction is constantly accompanied by a deadline. These days, ransomware attacks are too common on IoT healthcare devices.
Mazin Abed Mohammed +8 more
wiley +1 more source
Lightweight Internet of Things Botnet Detection Using One-Class Classification
Sensors, 2022 Like smart phones, the recent years have seen an increased usage of internet of things (IoT) technology. IoT devices, being resource constrained due to smaller size, are vulnerable to various security threats. Recently, many distributed denial of service
Kainat Malik +5 more
doaj +1 more source
Bots in Public Arenas of Social Networks
Социологический 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
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
doaj +1 more source
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
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
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
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
Cybercrime on the Example of Selected Botnets
Polish Political Science Yearbook, 2021 The article presents threat analysis resulting from botnet activity on the Internet. Botnet networks are a very common tool among cybercriminals. They enable the acquisition of large amounts of data from computers infected with the virus that creates the
Przemysław Mazurczak
doaj +1 more source
A Survey on Botnets: Incentives, Evolution, Detection and Current Trends
Future 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