Artificial Intelligence in Cybersecurity: A Review and a Case Study

被引:1
|
作者
Okdem, Selcuk [1 ]
Okdem, Sema [2 ]
机构
[1] Erciyes Univ, Engn Fac, Comp Engn Dept, TR-38030 Kayseri, Turkiye
[2] Kayseri Vocat & Tech Anatolian High Sch, TR-38020 Kayseri, Turkiye
来源
APPLIED SCIENCES-BASEL | 2024年 / 14卷 / 22期
关键词
cybersecurity; IT security; machine learning; artificial intelligence; genetic algorithm; IEEE; 802.15.4; encryption; PN sequences; RANSOMWARE;
D O I
10.3390/app142210487
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The evolving landscape of cyber threats necessitates continuous advancements in defensive strategies. This paper explores the potential of artificial intelligence (AI) as an emerging tool to enhance cybersecurity. While AI holds widespread applications across information technology, its integration within cybersecurity remains a recent development. We offer a comprehensive review of current AI applications in this domain, focusing particularly on their preventative capabilities against prevalent threats like phishing, social engineering, ransomware, and malware. To illustrate these concepts, the paper presents a case study showcasing a specific AI application in a cybersecurity context. This case study addresses a critical gap in securing communication within resource-constrained Internet of Things (IoT) networks using the IEEE 802.15.4 standard. We discussed the advantages and limitations of employing PN sequence encryption for this purpose.
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页数:20
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