Results 21 to 30 of about 306 (121)

An Automated and Comprehensive Framework for IoT Botnet Detection and Analysis (IoT-BDA)

IEEE Access, 2021
The proliferation of insecure Internet-connected devices gave rise to the IoT botnets which can grow very large rapidly and may perform high-impact cyber-attacks.
Tolijan Trajanovski, Ning Zhang
doaj   +1 more source

Internet of Things Botnet Detection Approaches: Analysis and Recommendations for Future Research

Applied Sciences, 2021
Internet of Things (IoT) is promising technology that brings tremendous benefits if used optimally. At the same time, it has resulted in an increase in cybersecurity risks due to the lack of security for IoT devices.
Majda Wazzan, Daniyal Algazzawi, Omaima Bamasaq, Aiiad Albeshri, Li Cheng   +4 more
doaj   +1 more source

IoT Security: Botnet detection in IoT using Machine learning

CoRR, 2021
The acceptance of Internet of Things (IoT) applications and services has seen an enormous rise of interest in IoT. Organizations have begun to create various IoT based gadgets ranging from small personal devices such as a smart watch to a whole network of smart grid, smart mining, smart manufacturing, and autonomous driver-less vehicles.
Satish Pokhrel, Robert Abbas, Bhulok Aryal   +2 more
openaire   +2 more sources

IoT-Botnet Detection and Isolation by Access Routers [PDF]

2018 9th International Conference on the Network of the Future (NOF), 2018
In recent years, emerging technologies such as the Internet of Things gain increasing interest in various communities. However, the majority of IoT devices have little or no protection at software and infrastructure levels and thus are also opening up new vulnerabilities that might be misused by cybercriminals to perform large-scale cyber attacks by ...
Christian Dietz, Raphael Labaca Castro, Jessica Steinberger, Cezary Wilczak, Marcel Antzek, Anna Sperotto, Aiko Pras   +6 more
openaire   +1 more source

Analysis and Characterization of IoT Malware Command and Control Communication

Telfor Journal, 2020
The emergence of Mirai botnet in 2016 took worldwide research teams by surprise, proving that a large number of low-performance IoT devices could be hacked and used for illegal purposes, causing extremely voluminous DDoS attacks.
Đ. D. Jovanović, P. V. Vuletić
doaj   +1 more source

An Aggregated Mutual Information Based Feature Selection with Machine Learning Methods for Enhancing IoT Botnet Attack Detection

Sensors, 2021
Due to the wide availability and usage of connected devices in Internet of Things (IoT) networks, the number of attacks on these networks is continually increasing.
Mohammed Al-Sarem, Faisal Saeed, Eman H. Alkhammash, Norah Saleh Alghamdi   +3 more
doaj   +1 more source

A Systematic Literature Review: Classifying IoT Botnet Data Features Based on Its Lifecycle

IEEE Access
As the Internet of Things (IoT) becomes increasingly indispensable across various domains, the connectivity between humans, machines, and devices intensifies.
Shihao Liu, Fariza Fauzi, Ven Jyn Kok
doaj   +1 more source

Research on the reverse analyses and monitoring data of Mirai malware botnet

网络与信息安全学报, 2017
In recent years,with the rapid development of Internet of things(IoT),malwares have come into Internet of things,and botnet is the typical one.Malwares spreading through IoT vulnerable devices have emerged.The overall structure of Mirai botnet and the ...
Ya-liang CHEN, Qin-yun DAI, Hai-yan WU, Zheng WEI   +3 more
doaj   +3 more sources

Classifying IoT Botnet Attacks With Kolmogorov-Arnold Networks: A Comparative Analysis of Architectural Variations

IEEE Access
The rapid expansion of devices on the Internet of Things (IoTs) has led to a significant rise in IoT botnet attacks, creating an urgent need for advanced detection and classification methods.
Phuc Hao do, Tran Duc Le, Truong Duy Dinh, van Dai Pham   +3 more
doaj   +1 more source

Enhancing Cybersecurity in the Internet of Things Environment Using Bald Eagle Search Optimization With Hybrid Deep Learning

IEEE Access
Nowadays, the Internet of Things (IoT) has become a rapid development; it can be employed by cyber threats in IoT devices. A correct system to recognize malicious attacks at IoT platforms became of major importance to minimize security threats in IoT ...
Louai A. Maghrabi, Sahar Shabanah, Turki Althaqafi, Dheyaaldin Alsalman, Sultan Algarni, Abdullah Al-Malaise Al-Ghamdi, Mahmoud Ragab   +6 more
doaj   +1 more source