Results 71 to 80 of about 1,396 (174)

Botnet Detection on the Analysis of Zeus Panda Financial Botnet

International Journal of Engineering and Advanced Technology, 2019
Banking botnets, those particularly directed at holding away banking extortion, speak to a notable risk for financial institutes all around the world. These malware systems are reliable of immense monetary losses or for leading money laundering activities.
S Sarojini, S Asha
openaire   +1 more source

A comparative analysis of using ensemble trees for botnet detection and classification in IoT. [PDF]

Sci Rep, 2023
Saied M, Guirguis S, Madbouly M.
europepmc   +1 more source

Efficient Large-Scale IoT Botnet Detection through GraphSAINT-Based Subgraph Sampling and Graph Isomorphism Network

Mathematics
In recent years, with the rapid development of the Internet of Things, large-scale botnet attacks have occurred frequently and have become an important challenge to network security.
Lihua Yin, Weizhe Chen, Xi Luo, Hongyu Yang   +3 more
doaj   +1 more source

Botnet Detection and Mitigation Model for IoT Networks Using Federated Learning. [PDF]

Sensors (Basel), 2023
de Caldas Filho FL, Soares SCM, Oroski E, de Oliveira Albuquerque R, da Mata RZA, de Mendonça FLL, de Sousa Júnior RT.   +6 more
europepmc   +1 more source

An overview on architecture of botnet and techniques towards the botnet detection

, 2019
ABSTRACTAs of late, botnets are the most radical of all digital attacks and turning into the major issue towards cloud computing. Botnets arethe system of various traded off PCs and/or cell phones. These gadgets are contaminated with vindictive code by botmaster andcontrolled as gatherings.
Gadde, Ramesh, Pabboju, Suresh
openaire   +1 more source

Real-time botnet detection on large network bandwidths using machine learning. [PDF]

Sci Rep, 2023
Velasco-Mata J, González-Castro V, Fidalgo E, Alegre E.   +3 more
europepmc   +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

A privacy-enhanced framework with deep learning for botnet detection

Cybersecurity
A botnet is a group of hijacked devices that conduct various cyberattacks, which is one of the most dangerous threats on the internet. Organizations or individuals use network traffic to mine botnet communication behavior features.
Guangli Wu, Xingyue Wang
doaj   +1 more source

A Blockchain-Enabled Secure Digital Twin Framework for Early Botnet Detection in IIoT Environment. [PDF]

Sensors (Basel), 2022
Salim MM, Comivi AK, Nurbek T, Park H, Park JH.   +4 more
europepmc   +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