An Ontology-based Intrusion Detection for RFID Systems

Esposito, Massimo; Vecchia, Gennaro Della

doi:10.1007/978-90-481-9151-2_81

Cited by 3 publications

(2 citation statements)

References 14 publications

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“…The RFID tags are available in tiny sizes that contain several resources; however, they suffer from the security threats such as tag cloning. Esposito et al discuss an intrusion detection model to identify the tag cloning threats by using the ontology‐based misuse detection approach. The RFID tags have authorized entity ownership.…”

Section: Introductionmentioning

confidence: 99%

Intrusion detection in RFID system using computational intelligence approach for underground mines

Gautam

2018

Int J Communication

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The radio frequency identification technology (RFID) is commonly used for object tracking and monitoring. In this paper, we discuss a model for intrusion detection system based on RFID to identify the abnormal behavior of underground mines' toxic gases. This model consists of various types of sensor nodes that are integrated with RFID tag, which are deployed in the underground mines by using Zigbee protocol. It consists of coordinators, routers, and sensor nodes, according to different capabilities and the probabilities of intrusive activities that occur in underground mines. It can detect the real-time abnormal

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Section: Introductionmentioning

confidence: 99%

Intrusion detection in RFID system using computational intelligence approach for underground mines

Gautam

2018

Int J Communication

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“…Specific hazards include access control in supply chain, ticket copy, tags pay, and tag anti-counterfeiting. The traditional approach improves tag authentication encryption algorithm to increase the difficulty of cloning [1] ; another unconventional method uses the visibility of the RFID traces provided by RFID system to test and locate the cloned tag [2] .…”

Section: Introductionmentioning

confidence: 99%

Intrusion Detection Methods Based on Incomplete RFID Traces

Wang

et al. 2017

Chin. j. electron.

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Anomaly detection in RFID systems

Garri

Sailhan

Bouzefrane

et al. 2011

IJRFITA

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An Ontology-based Intrusion Detection for RFID Systems

Cited by 3 publications

References 14 publications

Intrusion detection in RFID system using computational intelligence approach for underground mines

Intrusion detection in RFID system using computational intelligence approach for underground mines

Intrusion Detection Methods Based on Incomplete RFID Traces

Anomaly detection in RFID systems

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