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Explainable artificial intelligence for botnet detection in internet of things [PDF]
Scientific ReportsThe proliferation of internet of things (IoT) devices has led to unprecedented connectivity and convenience. However, this increased interconnectivity has also introduced significant security challenges, particularly concerning the detection and ...
Mohamed Saied, Shawkat Guirguis
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A novel hybrid feature selection and ensemble-based machine learning approach for botnet detection [PDF]
Scientific Reports, 2023 In the age of sophisticated cyber threats, botnet detection remains a crucial yet complex security challenge. Existing detection systems are continually outmaneuvered by the relentless advancement of botnet strategies, necessitating a more dynamic and ...
Md. Alamgir Hossain, Md. Saiful Islam
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Large-scale Malicious P2P Botnet Node Detection Technology Based on Challenge Strategy [PDF]
Jisuanji gongcheng, 2016 Traditional botnet detection technologies mainly detect botnet nodes in specified area network on the hosts or the border of gateway export,which have small scale and low detection efficiency.To efficiently execute Peer-to-Peer(P2P) network botnet node ...
LI Jing,YAO Yiyang,LU Xindai,QIAO Yong
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Examination of Traditional Botnet Detection on IoT-Based Bots [PDF]
SensorsA botnet is a collection of Internet-connected computers that have been suborned and are controlled externally for malicious purposes. Concomitant with the growth of the Internet of Things (IoT), botnets have been expanding to use IoT devices as their ...
Ashley Woodiss-Field +2 more
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ELBA-IoT: An Ensemble Learning Model for Botnet Attack Detection in IoT Networks
Journal of Sensor and Actuator Networks, 2022 Due to the prompt expansion and development of intelligent systems and autonomous, energy-aware sensing devices, the Internet of Things (IoT) has remarkably grown and obstructed nearly all applications in our daily life.
Qasem Abu Al-Haija +1 more
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Application of representation learning in detecting botnet attacks [PDF]
Scientific ReportsBotnet detection remains a perennial and critical challenge in cybersecurity. As long as the internet exists, threat actors will devise new ways to create and disguise these malicious networks, making the development of robust detection methods a task ...
Hieu Le Ngoc
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Measurement: Sensors, 2023 With various malware, botnets are the legitimate risk increasing against cybersecurity providing criminal operations like malware dispersal, distributed denial of service attacks, fraud clicking, phishing, and identification of theft. Existing techniques
Sathiyandrakumar Srinivasan +1 more
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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
IEEE Access, 2023 Botnet detection in a cloud-aided Internet of Things (IoT) environment is a tedious process, meanwhile, IoT gadgets are extremely vulnerable to attacks due to poor security practices and limited computing resources.
Latifah Almuqren +5 more
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Botnet Detection Approach Using Graph-Based Machine Learning
IEEE Access, 2021 Detecting botnet threats has been an ongoing research endeavor. Machine Learning (ML) techniques have been widely used for botnet detection with flow-based features.
Afnan Alharbi, Khalid Alsubhi
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