Enhanced Grey Wolf Optimization (EGWO) and random forest based mechanism for intrusion detection in IoT networks

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 14, 2025

Smart devices are enabled via the Internet of Things (IoT) and connected in an uninterrupted world. These pose a challenge to cybersecurity systems due attacks network communications. Such have continued threaten operation end-users. Therefore, Intrusion Detection Systems (IDS) remain one most used tools for maintaining such flaws against cyber-attacks. The dynamic multi-dimensional threat landscape IoT increases Traditional IDS. focus this paper aims find key features developing IDS that is reliable but also efficient terms computation. Enhanced Grey Wolf Optimization (EGWO) Feature Selection (FS) implemented. function EGWO remove unnecessary from datasets intrusion detection. To test new FS technique decide on optimal set based accuracy achieved feature taking filters, recent approach relies NF-ToN-IoT dataset. selected evaluated by using Random Forest (RF) algorithm combine multiple decision trees create accurate result. experimental outcomes procedures demonstrate capacity recommended classification methods determine Analysis results presents performs more effectively than other techniques with optimized (i.e., 23 out 43 features), high 99.93% improved convergence.

Language: Английский

Comprehensive Analysis of Cloud Computing Performance Factors: Investigating the Impact of Response Time, Load Balancing and Service Broker Policies on Cloud Service Efficiency Using CloudSim Simulation

International Journal of Advanced Research in Science Communication and Technology, Journal Year: 2024, Volume and Issue: unknown, P. 344 - 353

Published: Nov. 12, 2024

Cloud performance refers to the efficiency and effectiveness with which a cloud system operates delivering hosted services over internet. As computing continues offer flexibility, scalability computational power monitoring improving is essential. Performance optimization influenced by factors such as load balancing service broker policies impact response times overall user experience. This paper provides an in-depth review of key publications real-time tools identifying critical that affect efficiency. Notably, time emerged fundamental metric for quality. Using CloudSim simulation we examine evaluation criteria experimentally assess dependencies on policies, techniques data center distribution. study offers framework understanding highlights strategies enhance experience in diverse environments.

Language: Английский