Abstract
The Open System Interconnection (OSI) model, consisting of seven layers, has become increasingly important in addressing cyber security issues. The rapid growth of network technology has led to a rise in cyber threats, with botnets taking over fixed and mobile computers. The widespread availability of mobile devices has led to increased app consumption, with 60
Keywords
Cite this article
@article{cai-6509,
author = {Rami Mohammed Baazeem},
title = {Cybersecurity: BotNet Threat Detection Across the Seven-Layer ISO-OSI Model Using Machine Learning Techniques},
journal = {Computing and Informatics},
volume = {42},
number = {5},
pages = {1060--1090},
year = {2023},
issn = {1335-9150},
doi = {10.31577/cai_2023_5_1060}
}
TY - JOUR AU - Rami Mohammed Baazeem TI - Cybersecurity: BotNet Threat Detection Across the Seven-Layer ISO-OSI Model Using Machine Learning Techniques JO - Computing and Informatics VL - 42 IS - 5 SP - 1060 EP - 1090 PY - 2023 SN - 1335-9150 DO - 10.31577/cai_2023_5_1060 UR - https://doi.org/10.31577/cai_2023_5_1060 KW - Spoofing KW - hijacking KW - SYN flood KW - DoS KW - DDoS KW - cybersecurity threats KW - ISO-OSI model KW - machine learning ER -
Baazeem, R. M. (2023). Cybersecurity: BotNet Threat Detection Across the Seven-Layer ISO-OSI Model Using Machine Learning Techniques. Computing and Informatics, 42(5), 1060–1090. https://doi.org/10.31577/cai_2023_5_1060