A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method

<p dir="ltr">Due to the rapid growth in IT technology, digital data have increased availability, creating novel security threats that need immediate attention. An intrusion detection system (IDS) is the most promising solution for preventing malicious intrusions and tracing suspiciou...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Amit Kumar Balyan (18288964) (author)
مؤلفون آخرون:	Sachin Ahuja (13903010) (author), Umesh Kumar Lilhore (17727684) (author), Sanjeev Kumar Sharma (5463875) (author), Poongodi Manoharan (17727687) (author), Abeer D. Algarni (18288967) (author), Hela Elmannai (18288970) (author), Kaamran Raahemifar (707645) (author)
منشور في:	2022
الموضوعات:	Information and computing sciences Cybersecurity and privacy Machine learning Hybrid IDS genetic algorithm particle swarm optimization random forest machine learning intrusion detection security
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method

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