资源受限的物联网应用混合入侵检测系统

IF 0.6 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

International Journal of Digital Crime and Forensics Pub Date : 2020-01-01 DOI:10.4018/ijdcf.2020010106

Chao Wu, Yuan’an Liu, Fan Wu, Feng Liu, Hui Lu, Wenhao Fan, B. Tang

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引用次数: 6

摘要

NetworksecurityandnetworkforensicstechnologiesfortheInternetofThings(IoT)needspecial considerationduetoresource-constraints。CybercrimesconductedinIoTfocusonnetworkinformation andenergy来源。Graph采用理论来分析IoTnetworkandahybrid intrusion_ DetectionSystem(IDS)isproposed。ThehybridIDSconsistsofCentralizedandActiveMalicious NodeDetection(CAMD)andDistributedandPassiveEEA(EnergyExhaustionAttack)Resistance (DPER).CAMDisintegratedinthegeneticalgorithm-baseddatagatheringscheme。CAMDdetects maliciousnodesmanipulatedbycybercriminalsandprovidesdigitalevidenceforforensics。DPERis implementedinasetofcommunicationprotocolstoalleviatetheimpactofEEAattacks。Simulation在ns -3平台上进行的实验显示了所提出的混合ids，并进行了检测和跟踪maliciousnodespreciselywithoutcompromisingenergyefficiency。Besides, the impactofEEA attacksconductedbycybercriminalswaseffectivelyalleviated。关键词:网络犯罪，能效，遗传算法，图论，物联网，网络取证

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A Hybrid Intrusion Detection System for IoT Applications with Constrained Resources

NetworksecurityandnetworkforensicstechnologiesfortheInternetofThings(IoT)needspecial considerationduetoresource-constraints.CybercrimesconductedinIoTfocusonnetworkinformation andenergy sources.Graph theory is adopted to analyze the IoTnetworkandahybrid Intrusion DetectionSystem(IDS)isproposed.ThehybridIDSconsistsofCentralizedandActiveMalicious NodeDetection(CAMD)andDistributedandPassiveEEA(EnergyExhaustionAttack)Resistance (DPER).CAMDisintegratedinthegeneticalgorithm-baseddatagatheringscheme.CAMDdetects maliciousnodesmanipulatedbycybercriminalsandprovidesdigitalevidenceforforensics.DPERis implementedinasetofcommunicationprotocolstoalleviatetheimpactofEEAattacks.Simulation experiments conducted on NS-3 platform showed the hybrid IDS proposed detected and traced maliciousnodespreciselywithoutcompromisingenergyefficiency.Besides, the impactofEEA attacksconductedbycybercriminalswaseffectivelyalleviated. KeywoRDS Cybercrime, Energy Efficiency, Genetic Algorithm, Graph Theory, Internet Of Things, Network Forensics

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来源期刊

International Journal of Digital Crime and Forensics COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-

CiteScore

2.70

自引率

0.00%

发文量