The Experts below are selected from a list of 47571 Experts worldwide ranked by ideXlab platform

Wensheng Zhang - One of the best experts on this subject based on the ideXlab platform.

  • securing Distributed Data Storage and retrieval in sensor networks
    IEEE International Conference on Pervasive Computing and Communications, 2007
    Co-Authors: N Subramanian, Chanjun Yang, Wensheng Zhang
    Abstract:

    Sensor networks have been an attractive platform for pervasive computing and communication. Due to the lack of physical protection, however, sensor networks are vulnerable to attacks if deployed in hostile environments. When a sensor network is under attack, the most fundamental concern is that information communicated or stored in the network remains safe. The past research has focused on securing information in communication, but how to secure information in Storage has been generally overlooked. Meanwhile, Distributed Data Storage and retrieval have become popular for efficient Data management in sensor networks, which renders the absence of schemes for securing stored information to be a more severe problem. Hence, we propose in this paper three schemes to deal with the problem. All the schemes have the following properties: (i) only authorized entities can access Data stored in the sensor network; (ii) the schemes are resilient to a large number of sensor node compromises. The second and the third schemes do not involve any centralized entity except for a few initialization or renewal operations, and thus support secure, Distributed Data Storage and retrieval. The third scheme further provides high scalability and flexibility, and hence is most suitable in real applications. The effectiveness and efficiency of the proposed schemes have also been verified through extensive analysis and TOSSIM-based simulations

  • PerCom - Securing Distributed Data Storage and Retrieval in Sensor Networks
    Pervasive and Mobile Computing, 2007
    Co-Authors: N Subramanian, Chanjun Yang, Wensheng Zhang
    Abstract:

    Sensor networks have been an attractive platform for pervasive computing and communication. Due to the lack of physical protection, however, sensor networks are vulnerable to attacks if deployed in hostile environments. When a sensor network is under attack, the most fundamental concern is that information communicated or stored in the network remains safe. The past research has focused on securing information in communication, but how to secure information in Storage has been generally overlooked. Meanwhile, Distributed Data Storage and retrieval have become popular for efficient Data management in sensor networks, which renders the absence of schemes for securing stored information to be a more severe problem. Hence, we propose in this paper three schemes to deal with the problem. All the schemes have the following properties: (i) only authorized entities can access Data stored in the sensor network; (ii) the schemes are resilient to a large number of sensor node compromises. The second and the third schemes do not involve any centralized entity except for a few initialization or renewal operations, and thus support secure, Distributed Data Storage and retrieval. The third scheme further provides high scalability and flexibility, and hence is most suitable in real applications. The effectiveness and efficiency of the proposed schemes have also been verified through extensive analysis and TOSSIM-based simulations

Xipeng Yin - One of the best experts on this subject based on the ideXlab platform.

  • A novel secure and repairable scheme for Distributed Data Storage in unattended WSNs
    2014 9th IEEE Conference on Industrial Electronics and Applications, 2014
    Co-Authors: Wei Cheng, Yi Jiang, Xipeng Yin
    Abstract:

    The mechanisms to maintain redundancy are essential to Distributed Data Storage in Unattended Wireless Sensor Networks (UWSNs). To address this challenge, we proposed a novel hybrid scheme, which takes the advantages of both Erasure Codes (EC) and Self-repairing Codes (SRC) to guarantee better security on Data Storage and redundancy maintenance, and adapt an enhanced location-based pair-wise keys establishment based on bivariate polynomials. Detailed security analysis shows the superiority of the proposed scheme in comparison with EC based and original SRC based schemes, in both Distributed Data Storage and redundancy maintenance. To deal with the space correlation issue, we further proposed a location-based repairing scheme to enhance the security. Numerical example shows the extended version has strong resistance against Mobile Adversary and is practical for UWSNs

Lin Gui - One of the best experts on this subject based on the ideXlab platform.

  • Spatiotemporal Compressive Network Coding for Energy-Efficient Distributed Data Storage in Wireless Sensor Networks
    IEEE Communications Letters, 2015
    Co-Authors: Bo Gong, Peng Cheng, Zhuo Chen, Ning Liu, Lin Gui, Frank De Hoog
    Abstract:

    Distributed Data Storage (DDS) provides a promising approach to the reliable recovery of the whole sensor readings in a wireless sensor network (WSN) by visiting a small subset of sensor nodes. To reduce the number of transmissions/receptions, various DDS schemes based on compressive sensing (CS) have been proposed in the literature. However, these schemes only exploit the spatial correlation among sensor readings from geographically neighboring nodes, and the potential temporal correlation over multiple time slots within a frame duration is ignored. This results in energy inefficiency of DDS within the WSN. In this letter, we take a new approach, and exploit spatial and temporal (spatiotemporal) correlations among sensor readings simultaneously. A novel DDS coding scheme, referred to as spatiotemporal compressive network coding (ST-CNC), is proposed to collect sensor readings across the WSN in a more energy-efficient manner. Compared with the existing DDS schemes with CS, the proposed scheme significantly reduces the number of transmissions and receptions with similar recovery performance.

  • VTC Spring - Practical Spatiotemporal Compressive Network Coding for Energy-Efficient Distributed Data Storage in Wireless Sensor Networks
    2015 IEEE 81st Vehicular Technology Conference (VTC Spring), 2015
    Co-Authors: Chunyang Wang, Peng Cheng, Zhuo Chen, Ning Liu, Lin Gui
    Abstract:

    Distributed Data Storage (DDS) provides a promising approach to the reliable recovery of the whole sensor readings in a wireless sensor network (WSN) by visiting a small subset of sensor nodes. Various DDS schemes based on compressive sensing (CS) have been proposed to reduce the number of transmission/receptions to improve network's area energy ef- ficiency. However, these schemes assume that sensor readings are compressible in the discrete cosine transformation (DCT) domain, whereas our experimental results validate that this assumption cannot be established in a real WSN scenario and the performance of the practical sensor readings recovery will be significantly degraded. To address this problem, this paper proposes a novel DDS scheme termed as practical spatiotemporal compressive network coding (P-STCNC). Our idea is to adaptively train the sparse dictionaries to sparsify practical sensor readings as well as optimize corresponding measurement matrices in both spatial and temporal domains to guarantee accurate Data recovery. Simulation results based on real Datasets demonstrate the effectiveness of the proposed scheme.

N Subramanian - One of the best experts on this subject based on the ideXlab platform.

  • securing Distributed Data Storage and retrieval in sensor networks
    IEEE International Conference on Pervasive Computing and Communications, 2007
    Co-Authors: N Subramanian, Chanjun Yang, Wensheng Zhang
    Abstract:

    Sensor networks have been an attractive platform for pervasive computing and communication. Due to the lack of physical protection, however, sensor networks are vulnerable to attacks if deployed in hostile environments. When a sensor network is under attack, the most fundamental concern is that information communicated or stored in the network remains safe. The past research has focused on securing information in communication, but how to secure information in Storage has been generally overlooked. Meanwhile, Distributed Data Storage and retrieval have become popular for efficient Data management in sensor networks, which renders the absence of schemes for securing stored information to be a more severe problem. Hence, we propose in this paper three schemes to deal with the problem. All the schemes have the following properties: (i) only authorized entities can access Data stored in the sensor network; (ii) the schemes are resilient to a large number of sensor node compromises. The second and the third schemes do not involve any centralized entity except for a few initialization or renewal operations, and thus support secure, Distributed Data Storage and retrieval. The third scheme further provides high scalability and flexibility, and hence is most suitable in real applications. The effectiveness and efficiency of the proposed schemes have also been verified through extensive analysis and TOSSIM-based simulations

  • PerCom - Securing Distributed Data Storage and Retrieval in Sensor Networks
    Pervasive and Mobile Computing, 2007
    Co-Authors: N Subramanian, Chanjun Yang, Wensheng Zhang
    Abstract:

    Sensor networks have been an attractive platform for pervasive computing and communication. Due to the lack of physical protection, however, sensor networks are vulnerable to attacks if deployed in hostile environments. When a sensor network is under attack, the most fundamental concern is that information communicated or stored in the network remains safe. The past research has focused on securing information in communication, but how to secure information in Storage has been generally overlooked. Meanwhile, Distributed Data Storage and retrieval have become popular for efficient Data management in sensor networks, which renders the absence of schemes for securing stored information to be a more severe problem. Hence, we propose in this paper three schemes to deal with the problem. All the schemes have the following properties: (i) only authorized entities can access Data stored in the sensor network; (ii) the schemes are resilient to a large number of sensor node compromises. The second and the third schemes do not involve any centralized entity except for a few initialization or renewal operations, and thus support secure, Distributed Data Storage and retrieval. The third scheme further provides high scalability and flexibility, and hence is most suitable in real applications. The effectiveness and efficiency of the proposed schemes have also been verified through extensive analysis and TOSSIM-based simulations

Wei Cheng - One of the best experts on this subject based on the ideXlab platform.

  • A novel secure and repairable scheme for Distributed Data Storage in unattended WSNs
    2014 9th IEEE Conference on Industrial Electronics and Applications, 2014
    Co-Authors: Wei Cheng, Yi Jiang, Xipeng Yin
    Abstract:

    The mechanisms to maintain redundancy are essential to Distributed Data Storage in Unattended Wireless Sensor Networks (UWSNs). To address this challenge, we proposed a novel hybrid scheme, which takes the advantages of both Erasure Codes (EC) and Self-repairing Codes (SRC) to guarantee better security on Data Storage and redundancy maintenance, and adapt an enhanced location-based pair-wise keys establishment based on bivariate polynomials. Detailed security analysis shows the superiority of the proposed scheme in comparison with EC based and original SRC based schemes, in both Distributed Data Storage and redundancy maintenance. To deal with the space correlation issue, we further proposed a location-based repairing scheme to enhance the security. Numerical example shows the extended version has strong resistance against Mobile Adversary and is practical for UWSNs