Protecting an WSN from Internal Attack based on Epistemic Uncertainties

Xu Huang, Dharmendra Sharma, Muhammed Ahmed, Hongyan Cui

    Research output: A Conference proceeding or a Chapter in BookConference contribution

    Abstract

    Wireless sensor networks (WSNs) are composed of a large number of low cost and low power, multifunctional sensor nodes communicating at short distance. These sensor nodes are densely deployed to collect and transmit data from physical world to one or more destination nodes called “sink” in an autonomous way. They have been making up of a mass of spatially distributed autonomous sensors to monitor physical or environmental conditions, such as water contamination, sound, temperature, motion, pressure, and other pollutants. However, security threats to WSNs become serious challenges due to their open nature of the wireless medium. For example, an adversary can easily eavesdrop and replay or inject fabricated messages. Traditional different cryptographic methods can be used to defend against some of such attacks but now very limited. Node compromised is another major problem for WSN security as it allows an adversary to enter inside the security perimeter of the network, called internal attack, which raised more serious challenge to WSNs due to its nature. In this paper, we are focusing on investigating internal attacks of wireless sensor networks with multi-hop and single sinker. The epistemic uncertainty theory is introduced and it is to be shown that our novel algorithm works with controllable resiliency of wireless sensor networks, based on Dempster-Shafer theory (DST). It is to ensure the targeted WSN working at the designed resiliency level with our algorithm
    Original languageEnglish
    Title of host publication18th IEEE International Conference on Networks (ICON 2012)
    EditorsYongwei Zhu
    Place of PublicationSingapore
    PublisherIEEE
    Pages389-394
    Number of pages6
    Volume1
    ISBN (Electronic)9781467345231
    ISBN (Print)9781467345224, 9781467345217
    DOIs
    Publication statusPublished - 2012
    EventIEEE Singapore International Conference on Networks - Holiday Inn Atrium Singapore, Singapore, Singapore
    Duration: 12 Dec 201214 Dec 2012

    Conference

    ConferenceIEEE Singapore International Conference on Networks
    Abbreviated titleICON 2012
    CountrySingapore
    CitySingapore
    Period12/12/1214/12/12

    Fingerprint

    Wireless sensor networks
    Sensor nodes
    Network security
    Uncertainty
    Contamination
    Acoustic waves
    Sensors
    Costs
    Water
    Temperature

    Cite this

    Huang, X., Sharma, D., Ahmed, M., & Cui, H. (2012). Protecting an WSN from Internal Attack based on Epistemic Uncertainties. In Y. Zhu (Ed.), 18th IEEE International Conference on Networks (ICON 2012) (Vol. 1, pp. 389-394). Singapore: IEEE. https://doi.org/10.1109/ICON.2012.6506589
    Huang, Xu ; Sharma, Dharmendra ; Ahmed, Muhammed ; Cui, Hongyan. / Protecting an WSN from Internal Attack based on Epistemic Uncertainties. 18th IEEE International Conference on Networks (ICON 2012). editor / Yongwei Zhu. Vol. 1 Singapore : IEEE, 2012. pp. 389-394
    @inproceedings{737ab89650aa4906b14ee099fdba9dd1,
    title = "Protecting an WSN from Internal Attack based on Epistemic Uncertainties",
    abstract = "Wireless sensor networks (WSNs) are composed of a large number of low cost and low power, multifunctional sensor nodes communicating at short distance. These sensor nodes are densely deployed to collect and transmit data from physical world to one or more destination nodes called “sink” in an autonomous way. They have been making up of a mass of spatially distributed autonomous sensors to monitor physical or environmental conditions, such as water contamination, sound, temperature, motion, pressure, and other pollutants. However, security threats to WSNs become serious challenges due to their open nature of the wireless medium. For example, an adversary can easily eavesdrop and replay or inject fabricated messages. Traditional different cryptographic methods can be used to defend against some of such attacks but now very limited. Node compromised is another major problem for WSN security as it allows an adversary to enter inside the security perimeter of the network, called internal attack, which raised more serious challenge to WSNs due to its nature. In this paper, we are focusing on investigating internal attacks of wireless sensor networks with multi-hop and single sinker. The epistemic uncertainty theory is introduced and it is to be shown that our novel algorithm works with controllable resiliency of wireless sensor networks, based on Dempster-Shafer theory (DST). It is to ensure the targeted WSN working at the designed resiliency level with our algorithm",
    author = "Xu Huang and Dharmendra Sharma and Muhammed Ahmed and Hongyan Cui",
    year = "2012",
    doi = "10.1109/ICON.2012.6506589",
    language = "English",
    isbn = "9781467345224",
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    Huang, X, Sharma, D, Ahmed, M & Cui, H 2012, Protecting an WSN from Internal Attack based on Epistemic Uncertainties. in Y Zhu (ed.), 18th IEEE International Conference on Networks (ICON 2012). vol. 1, IEEE, Singapore, pp. 389-394, IEEE Singapore International Conference on Networks, Singapore, Singapore, 12/12/12. https://doi.org/10.1109/ICON.2012.6506589

    Protecting an WSN from Internal Attack based on Epistemic Uncertainties. / Huang, Xu; Sharma, Dharmendra; Ahmed, Muhammed; Cui, Hongyan.

    18th IEEE International Conference on Networks (ICON 2012). ed. / Yongwei Zhu. Vol. 1 Singapore : IEEE, 2012. p. 389-394.

    Research output: A Conference proceeding or a Chapter in BookConference contribution

    TY - GEN

    T1 - Protecting an WSN from Internal Attack based on Epistemic Uncertainties

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    N2 - Wireless sensor networks (WSNs) are composed of a large number of low cost and low power, multifunctional sensor nodes communicating at short distance. These sensor nodes are densely deployed to collect and transmit data from physical world to one or more destination nodes called “sink” in an autonomous way. They have been making up of a mass of spatially distributed autonomous sensors to monitor physical or environmental conditions, such as water contamination, sound, temperature, motion, pressure, and other pollutants. However, security threats to WSNs become serious challenges due to their open nature of the wireless medium. For example, an adversary can easily eavesdrop and replay or inject fabricated messages. Traditional different cryptographic methods can be used to defend against some of such attacks but now very limited. Node compromised is another major problem for WSN security as it allows an adversary to enter inside the security perimeter of the network, called internal attack, which raised more serious challenge to WSNs due to its nature. In this paper, we are focusing on investigating internal attacks of wireless sensor networks with multi-hop and single sinker. The epistemic uncertainty theory is introduced and it is to be shown that our novel algorithm works with controllable resiliency of wireless sensor networks, based on Dempster-Shafer theory (DST). It is to ensure the targeted WSN working at the designed resiliency level with our algorithm

    AB - Wireless sensor networks (WSNs) are composed of a large number of low cost and low power, multifunctional sensor nodes communicating at short distance. These sensor nodes are densely deployed to collect and transmit data from physical world to one or more destination nodes called “sink” in an autonomous way. They have been making up of a mass of spatially distributed autonomous sensors to monitor physical or environmental conditions, such as water contamination, sound, temperature, motion, pressure, and other pollutants. However, security threats to WSNs become serious challenges due to their open nature of the wireless medium. For example, an adversary can easily eavesdrop and replay or inject fabricated messages. Traditional different cryptographic methods can be used to defend against some of such attacks but now very limited. Node compromised is another major problem for WSN security as it allows an adversary to enter inside the security perimeter of the network, called internal attack, which raised more serious challenge to WSNs due to its nature. In this paper, we are focusing on investigating internal attacks of wireless sensor networks with multi-hop and single sinker. The epistemic uncertainty theory is introduced and it is to be shown that our novel algorithm works with controllable resiliency of wireless sensor networks, based on Dempster-Shafer theory (DST). It is to ensure the targeted WSN working at the designed resiliency level with our algorithm

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    Huang X, Sharma D, Ahmed M, Cui H. Protecting an WSN from Internal Attack based on Epistemic Uncertainties. In Zhu Y, editor, 18th IEEE International Conference on Networks (ICON 2012). Vol. 1. Singapore: IEEE. 2012. p. 389-394 https://doi.org/10.1109/ICON.2012.6506589