Green Intrusion Detection Systems: A Comprehensive Review and Directions

被引：0
作者：
Roy, Swapnoneel [1 ]
Sankaran, Sriram [2 ]
Zeng, Mini [3 ]
机构：
[1] Univ North Florida, Sch Comp, Jacksonville, FL 32224 USA
[2] Amrita Vishwa Vidyapeetham, Ctr Cybersecur Syst & Networks, Amritapuri 690525, Kerala, India
[3] Jacksonville Univ, Comp Sci, Jacksonville, FL 32211 USA
来源：
SENSORS | 2024年 / 24卷 / 17期
关键词：
energy optimization; intrusion detection; cybersecurity; anomaly detection; DETECTION FRAMEWORK; ANOMALY DETECTION; DETECTION ENGINE; INTERNET; IDS; LIGHTWEIGHT; NETWORKS; SENSORS; HYBRID; THINGS;
D O I：
10.3390/s24175516
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
Intrusion detection systems have proliferated with varying capabilities for data generation and learning towards detecting abnormal behavior. The goal of green intrusion detection systems is to design intrusion detection systems for energy efficiency, taking into account the resource constraints of embedded devices and analyzing energy-performance-security trade-offs. Towards this goal, we provide a comprehensive survey of existing green intrusion detection systems and analyze their effectiveness in terms of performance, overhead, and energy consumption for a wide variety of low-power embedded systems such as the Internet of Things (IoT) and cyber physical systems. Finally, we provide future directions that can be leveraged by existing systems towards building a secure and greener environment.
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页数：23
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