AIS for misbehavior detection in wireless sensor networks: Performance and design principles

Drozda, Martin; Schaust, Sven; Szczerbicka, Helena

doi:10.1109/cec.2007.4424955

Cited by 37 publications

(37 citation statements)

References 27 publications

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“…However, the proposed scheme is a variants of pairwise key pre-distribution protocols, which provide perfect network resilience against a compromised node attack -for more details the reader may refer to [13], [28], [29]. Moreover, in the proposed scheme, the C node can periodically monitor the misbehavior of SNs using [30] within its cell and informs the BS upon a detection because the proposed scheme is divided into a number of cells. Thus, compromising a node and node fabrication attack in the cell does not affect the security of non-compromised cells.…”

Section: Security Analysis a Security Analysismentioning

confidence: 99%

Access Control Protocol With Node Privacy in Wireless Sensor Networks

et al. 2016

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Abstract-For preventing malicious nodes joining wireless sensor networks (WSNs), an access control mechanism is necessary for the trustworthy cooperation between the nodes. In addition to access control, recently, privacy has been an important topic regarding how to achieve privacy without disclosing the real identity of communicating entities in the WSNs. Based on elliptic curve cryptography (ECC), in this paper we present an access control protocol with node privacy (called ACP) for the WSN. The proposed scheme not only accomplishes the node authentication but also provides the identity privacy (i.e., source to destination and vice-versa) for the communicating entities. Compared with the current state of the art, the proposed solution can defend actively against attacks. The efficacy and efficiency of the proposed ACP are confirmed through the test-bed analysis and performance evaluations.

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Section: Security Analysis a Security Analysismentioning

confidence: 99%

Access Control Protocol With Node Privacy in Wireless Sensor Networks

et al. 2016

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“…The DCA takes advantage of positive and negative feedback loops from the signals produced in the tissue regarding the safe or dangerous context of the tissue and the detection of pathogen related signatures [20,21]. This algorithm has been shown to be very light weighted [11,12]. However the false positive rates when evaluated for new Sybil attacks which are one of the data flow attack have shown high rates.…”

Section: Methodsmentioning

confidence: 99%

“…The prevention of Sybil attack in WSN using Dendritic Cell Algorithm (DCA) utilizes the signal produced in the tissue in order to detect pathogen related signatures [11,12]. This technique proved to be light weighted for WSN but its performance for data flow anomaly attack detection, especially for Sybil attack, has shown degradation.…”

Section: Introductionmentioning

confidence: 99%

An Immunology Inspired Flow Control Attack Detection Using Negative Selection with R-Contiguous Bit Matching for Wireless Sensor Networks

Zeeshan

Javed

Haider

et al. 2015

International Journal of Distributed Sensor Networks

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Wireless sensor networks (WSNs) due to their deployment in open and unprotected environments become suspected to attacks. Most of the resource exhaustion occurs as a result of attacking the data flow control thus creating challenges for the security of WSNs. An Anomaly Detection System (ADS) framework inspired from the Human Immune System is implemented in this paper for detecting Sybil attacks in WSNs. This paper implemented an improved, decentralized, and customized version of the Negative Selection Algorithm (NSA) for data flow anomaly detection with learning capability. The use of -contiguous bit matching, which is a light-weighted bit matching technique, has reduced holes in the detection coverage. This paper compares the Sybil attack detection performance with three algorithms in terms of false negative, false positive, and detection rates. The higher detection, and lower false positive and false negative rates of the implemented technique due to the -contiguous bit matching technique used in NSA improve the performance of the proposed framework. The work has been tested in Omnet++ against Sybil attacks for WSNs.

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“…Drozda et al applied a negative selection algorithm to misbehavior detection in sensor networks [61]. The authors made a number of changes to reduce the computational overhead of the algorithm.…”

Section: Misbehavior Detection In Wireless Networkmentioning

confidence: 99%

A taxonomy of biologically inspired research in computer networking

2010

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a b s t r a c tThe natural world is enormous, dynamic, incredibly diverse, and highly complex. Despite the inherent challenges of surviving in such a world, biological organisms evolve, self-organize, self-repair, navigate, and flourish. Generally, they do so with only local knowledge and without any centralized control. Our computer networks are increasingly facing similar challenges as they grow larger in size, but are yet to be able to achieve the same level of robustness and adaptability. Many research efforts have recognized these parallels, and wondered if there are some lessons to be learned from biological systems. As a result, biologically inspired research in computer networking is a quickly growing field. This article begins by exploring why biology and computer network research are such a natural match. We then present a broad overview of biologically inspired research, grouped by topic, and classified in two ways: by the biological field that inspired each topic, and by the area of networking in which the topic lies. In each case, we elucidate how biological concepts have been most successfully applied. In aggregate, we conclude that research efforts are most successful when they separate biological design from biological implementation -that is to say, when they extract the pertinent principles from the former without imposing the limitations of the latter.

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AIS for misbehavior detection in wireless sensor networks: Performance and design principles

Cited by 37 publications

References 27 publications

Access Control Protocol With Node Privacy in Wireless Sensor Networks

Access Control Protocol With Node Privacy in Wireless Sensor Networks

An Immunology Inspired Flow Control Attack Detection Using Negative Selection with R-Contiguous Bit Matching for Wireless Sensor Networks

A taxonomy of biologically inspired research in computer networking

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