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International Journal of Engineering، جلد ۳۹، شماره ۳، صفحات ۸۰۲-۸۱۷
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| عنوان فارسی |
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| چکیده فارسی مقاله |
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| عنوان انگلیسی |
An Improved IDS Method Using the Giza Pyramids in IoT Networks |
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| چکیده انگلیسی مقاله |
The Internet of Things (IoT) is an intelligent global network that connects physical and virtual objects, leading to significant advancements across various fields. However, its rapid growth and increasing adoption have brought about serious security challenges. The resource limitations in IoT nodes, designing comprehensive and efficient security mechanisms in this area is a big challenge. As a result, implementing a security mechanism like an intrusion detection system (IDS) is crucial for identifying and monitoring unauthorized access attempts, ensuring protection against security threats and vulnerabilities in IoT networks. Machine learning serves as a powerful technology capable of accurately detecting cyberattacks and safeguarding systems from harm. The large volume of data generated within IoT environments poses a challenge to the real-time performance of IDS, requiring swift and precise responses to hacking and malicious activities. This paper proposes an approach to enhance the performance of support vector machines (SVMs) using the Giza pyramid construction algorithm, aiming to improve both accuracy and speed in detecting intrusions while reducing detection errors. The findings demonstrate that the proposed model outperforms classifiers like k-nearest neighbor and ensemble in terms of error rates across training, testing, and overall datasets. |
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| کلیدواژه‌های انگلیسی مقاله |
Internet of Things,Security,Intrusion Detection System,Support Vector Machines |
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| نویسندگان مقاله |
A. Mehrabinejad |
Department of Computer Engineering, Lorestan University, Khorramabad, Iran
M. Alizadeh |
Department of Computer Engineering, Lorestan University, Khorramabad, Iran
M. Azadimotlagh |
Department of Computer Engineering, Jam Faculty of Engineering, Persian Gulf University, Bushehr, Iran
B. Darvish Rouhani |
Department of Computer Engineering and Information Technology, Payame Noor University, Tehran, Iran
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| نشانی اینترنتی |
https://www.ije.ir/article_220804_3fa04f6b60c32ece01b6afc6b50b8cd1.pdf |
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| کد مقاله (doi) |
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| زبان مقاله منتشر شده |
en |
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