International Journal of Communication Systems

Cover image for Vol. 31 Issue 2

Edited By: Professor Mohammad S. Obaidat

Impact Factor: 1.066

ISI Journal Citation Reports © Ranking: 2016: 73/89 (Telecommunications); 190/262 (Engineering Electrical & Electronic)

Online ISSN: 1099-1131

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The International Journal of Communication Systems

The International Journal of Communication Systems provides a forum for R&D, open to researchers from all types of institutions and organisations worldwide, aimed at the increasingly important area of communication technology. The Journal's emphasis is particularly on the issues impacting behaviour at the system, service and management levels. Published twelve times a year, it provides coverage of advances that have a significant potential to impact the immense technical and commercial opportunities in the communications sector.

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Recently Published Articles

  1. Distributed Energy Efficient Tracking in Hybrid wireless sensor network (DEETH)

    Mininath Nighot, Ashok Ghatol and Vilas Thakare

    Version of Record online: 28 DEC 2017 | DOI: 10.1002/dac.3498

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    A distributed energy efficient tracking in a hybrid WSN (DEETH) technique is proposed to track a randomly moving target in an unknown searching space.

  2. SecCloudSharing: Secure data sharing in public cloud using ciphertext-policy attribute-based proxy re-encryption with revocation

    Deepnarayan Tiwari and G. R. Gangadharan

    Version of Record online: 28 DEC 2017 | DOI: 10.1002/dac.3494

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    In this paper, we develop a CP-AB-PRE based secure data sharing scheme with fine-grain access control for the cloud storage, namely SecCloudSharing. The significant contributions of SecCloudSharing overcome the key escrow problem and the single-point performance bottleneck problem by designing the multi-authority user registration process. In SecCloudSharing, we also outsource the revocation process to the cloud for improving the computation performance and reduce communication overhead.

  3. An adaptive network traffic prediction approach for LDoS attacks detection

    Xiaoyu Zhang, Zhijun Wu, Junwei Zhang and Jiusheng Chen

    Version of Record online: 28 DEC 2017 | DOI: 10.1002/dac.3505

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    In this paper, we present an adaptive network traffic prediction approach for LDoS attacks detection, in which the dimension of reconstructed phase space for ν-SVR is optimized by Bayesian information criteria (BIC) method, and the parameter in the radial basis function (RBF) is adaptively adjusted by minimizing the within-class distance and maximizing the between-class distance in the feature space. The LDoS attacks are detected by a nonthreshold decision function that is calculated by the prediction error of normal and abnormal ν-SVR prediction models, and it is shown that the proposed algorithm obtains an improved performance for LDoS attacks detection.

  4. A fuzzy logic and game theory based adaptive approach for securing opportunistic networks against black hole attacks

    Anshuman Chhabra, Vidushi Vashishth and Deepak Kumar Sharma

    Version of Record online: 28 DEC 2017 | DOI: 10.1002/dac.3487

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    In this paper, an evolutionary game theory model based on fuzzy logic is applied to formulate an approach for securing opportunistic networks. The approach, FuzzyPT, outperforms existing mechanisms for a number of different performance metrics.

  5. Directional core selection approach and dynamic tree reorganization for delay and delay variation multicast routing

    Hovhannes A. Harutyunyan and Meghrig Terzian

    Version of Record online: 28 DEC 2017 | DOI: 10.1002/dac.3489

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    We propose a directional approach for core selection and tree generation for delay and delay variation bound multicast. To build a lower delay variation tree, we propose another algorithm (directional core selection build lower variation tree) based on κ-shortest paths. The proposed algorithms remove the drawbacks of existing algorithms and have better average performance in end-to-end delay, interdestination delay variation, error probability, and execution time. We also propose an algorithm to dynamically reorganize a multicast tree in response to changes to the multicast group.

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