Results 71 to 80 of about 1,235 (177)

Latent Semantic Analysis and Graph Theory for Alert Correlation: A Proposed Approach for IoT Botnet Detection

IEEE Open Journal of the Communications Society
In recent times, the proliferation of Internet of Things (IoT) technology has brought a significant shift in the digital transformation of various industries. The enabling technologies have accelerated this adoption.
Moemedi Lefoane, Ibrahim Ghafir, Sohag Kabir, Irfan-Ullah Awan, Khalil El Hindi, Anand Mahendran   +5 more
doaj   +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

Using honeypots to model botnet attacks on the internet of medical things. [PDF]

Comput Electr Eng, 2022
Wang H, He H, Zhang W, Liu W, Liu P, Javadpour A.   +5 more
europepmc   +1 more source

Hybrid Botnet Detection Based on Host and Network Analysis

Journal of Computer Networks and Communications, 2020
Botnet is one of the most dangerous cyber-security issues. The botnet infects unprotected machines and keeps track of the communication with the command and control server to send and receive malicious commands.
Suzan Almutairi, Saoucene Mahfoudh, Sultan Almutairi, Jalal S. Alowibdi   +3 more
doaj   +1 more source

Classification of botnet attacks in IoT smart factory using honeypot combined with machine learning. [PDF]

PeerJ Comput Sci, 2021
Lee S, Abdullah A, Jhanjhi N, Kok S.
europepmc   +1 more source

An Improved Recurrent Neural Network for Industrial IoT Botnet Attack Detection

Журнал інженерних наук
This research aims to improve the Industrial Internet of Things (IIoT) security, which fosters technological confidence and promotes expansion. The IIoT is mainly used in manufacturing, oil, and gas to avoid botnet attacks.
G. Suneetha, D.H. Priya
doaj   +1 more source

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 Botnet Detection in Network Security Using Profile Hidden Markov Models

Applied Sciences
A botnet is a network of compromised computer systems, or bots, remotely controlled by an attacker through bot controllers. This covert network poses a threat through large-scale cyber attacks, including phishing, distributed denial of service (DDoS ...
Rucha Mannikar, Fabio Di Troia
doaj   +1 more source

Ensemble Network Graph-Based Classification for Botnet Detection Using Adaptive Weighting and Feature Extraction

IEEE Access
The number of cybersecurity threats increases every year due to the rapid improvement of methods and tools used by hackers to infect devices. These threats form a network, which is called a botnet, to send and receive commands.
Muhammad Aidiel Rachman Putra, Tohari Ahmad, Dandy Pramana Hostiadi, Royyana Muslim Ijtihadie   +3 more
doaj   +1 more source

Ensemble classification to predict botnet and its impact on IoT networks

Measurement: Sensors
The IoT (Internet of Things) has been rapidly growing to make a stronger influence on huge industrial systems. Since cybercriminals have made IoT a target for harmful operations such as botnets, an attack on the end nodes is now a possibility. Protecting
G. Chandana Swathi, G. Kishor Kumar, A.P. Siva Kumar   +2 more
doaj   +1 more source