The Experts below are selected from a list of 4929 Experts worldwide ranked by ideXlab platform

V Sankaranarayanan - One of the best experts on this subject based on the ideXlab platform.

  • prevention of co operative black hole attack in manet
    Journal of Networks, 2008
    Co-Authors: Latha Tamilselvan, V Sankaranarayanan
    Abstract:

    A mobile ad hoc network (MANET) is an autonomous network that consists of mobile Nodes that communicate with each other over wireless links. In the absence of a fixed infrastructure, Nodes have to cooperate in order to provide the necessary network functionality. One of the principal routing protocols used in Ad hoc networks is AODV (Ad hoc On demand Distance Vector) protocol. The security of the AODV protocol is compromised by a particular type of attack called ‘Black Hole’ attack In this attack a malicious Node advertises itself as having the shortest path to the Node whose packets it wants to intercept. To reduce the probability it is proposed to wait and check the replies from all the neighboring Nodes to find a safe route. Our approach to combat the Black hole attack is to make use of a ‘Fidelity Table’ wherein every Participating Node will be assigned a fidelity level that acts as a measure of reliability of that Node. In case the level of any Node drops to 0, it is considered to be a malicious Node, termed as a ‘Black hole’ and is eliminated. Computer simulation using GLOMOSIM shows that our protocol provides better security and also better performance in terms of packet delivery than the conventional AODV in the presence of Black holes with minimal additional delay and Overhead.

  • prevention of co operative black hole attack in manet
    Journal of Networks, 2008
    Co-Authors: Latha Tamilselvan, V Sankaranarayanan
    Abstract:

    A mobile ad hoc network (MANET) is an autonomous network that consists of mobile Nodes that communicate with each other over wireless links. In the absence of a fixed infrastructure, Nodes have to cooperate in order to provide the necessary network functionality. One of the principal routing protocols used in Ad hoc networks is AODV (Ad hoc On demand Distance Vector) protocol. The security of the AODV protocol is compromised by a particular type of attack called ‘Black Hole’ attack In this attack a malicious Node advertises itself as having the shortest path to the Node whose packets it wants to intercept. To reduce the probability it is proposed to wait and check the replies from all the neighboring Nodes to find a safe route. Our approach to combat the Black hole attack is to make use of a ‘Fidelity Table’ wherein every Participating Node will be assigned a fidelity level that acts as a measure of reliability of that Node. In case the level of any Node drops to 0, it is considered to be a malicious Node, termed as a ‘Black hole’ and is eliminated. Computer simulation using GLOMOSIM shows that our protocol provides better security and also better performance in terms of packet delivery than the conventional AODV in the presence of Black holes with minimal additional delay and Overhead.

Latha Tamilselvan - One of the best experts on this subject based on the ideXlab platform.

  • prevention of co operative black hole attack in manet
    Journal of Networks, 2008
    Co-Authors: Latha Tamilselvan, V Sankaranarayanan
    Abstract:

    A mobile ad hoc network (MANET) is an autonomous network that consists of mobile Nodes that communicate with each other over wireless links. In the absence of a fixed infrastructure, Nodes have to cooperate in order to provide the necessary network functionality. One of the principal routing protocols used in Ad hoc networks is AODV (Ad hoc On demand Distance Vector) protocol. The security of the AODV protocol is compromised by a particular type of attack called ‘Black Hole’ attack In this attack a malicious Node advertises itself as having the shortest path to the Node whose packets it wants to intercept. To reduce the probability it is proposed to wait and check the replies from all the neighboring Nodes to find a safe route. Our approach to combat the Black hole attack is to make use of a ‘Fidelity Table’ wherein every Participating Node will be assigned a fidelity level that acts as a measure of reliability of that Node. In case the level of any Node drops to 0, it is considered to be a malicious Node, termed as a ‘Black hole’ and is eliminated. Computer simulation using GLOMOSIM shows that our protocol provides better security and also better performance in terms of packet delivery than the conventional AODV in the presence of Black holes with minimal additional delay and Overhead.

  • prevention of co operative black hole attack in manet
    Journal of Networks, 2008
    Co-Authors: Latha Tamilselvan, V Sankaranarayanan
    Abstract:

    A mobile ad hoc network (MANET) is an autonomous network that consists of mobile Nodes that communicate with each other over wireless links. In the absence of a fixed infrastructure, Nodes have to cooperate in order to provide the necessary network functionality. One of the principal routing protocols used in Ad hoc networks is AODV (Ad hoc On demand Distance Vector) protocol. The security of the AODV protocol is compromised by a particular type of attack called ‘Black Hole’ attack In this attack a malicious Node advertises itself as having the shortest path to the Node whose packets it wants to intercept. To reduce the probability it is proposed to wait and check the replies from all the neighboring Nodes to find a safe route. Our approach to combat the Black hole attack is to make use of a ‘Fidelity Table’ wherein every Participating Node will be assigned a fidelity level that acts as a measure of reliability of that Node. In case the level of any Node drops to 0, it is considered to be a malicious Node, termed as a ‘Black hole’ and is eliminated. Computer simulation using GLOMOSIM shows that our protocol provides better security and also better performance in terms of packet delivery than the conventional AODV in the presence of Black holes with minimal additional delay and Overhead.

Kianlee Tan - One of the best experts on this subject based on the ideXlab platform.

  • bestpeer a self configurable peer to peer system
    International Conference on Data Engineering, 2002
    Co-Authors: Beng Chin Ooi, Kianlee Tan
    Abstract:

    We present BestPeer, a prototype P2P system that we have implemented at the National University of Singapore. BestPeer is a generic P2P system designed to serve as a platform on which P2P applications can be developed easily and efficiently. The network consists of two types of entities: a large number of computers (Nodes), and a relatively fewer number of location independent global name lookup (LIGLO) servers. Each Participating Node runs the BestPeer (Java-based) software and will be able to communicate or share resources with any other Nodes (i.e., peers) in the BestPeer network. Each Node comprises two types of data: private data and sharable data. Nodes can only access peers' data that are sharable.

Jurdak Raja - One of the best experts on this subject based on the ideXlab platform.

  • Trust Management in Decentralized IoT Access Control System
    2020
    Co-Authors: Putra, Guntur Dharma, Dedeoglu Volkan, Kanhere, Salil S., Jurdak Raja
    Abstract:

    Heterogeneous and dynamic IoT environments require a lightweight, scalable, and trustworthy access control system for protection from unauthorized access and for automated detection of compromised Nodes. Recent proposals in IoT access control systems have incorporated blockchain to overcome inherent issues in conventional access control schemes. However, the dynamic interaction of IoT networks remains uncaptured. Here, we develop a blockchain based Trust and Reputation System (TRS) for IoT access control, which progressively evaluates and calculates the trust and reputation score of each Participating Node to achieve a self-adaptive and trustworthy access control system. Trust and reputation are explicitly incorporated in the attribute-based access control policy, so that different Nodes can be assigned to different access right levels, resulting in dynamic access control policies. We implement our proposed architecture in a private Ethereum blockchain comprised of a Docker container network. We benchmark our solution using various performance metrics to highlight its applicability for IoT contexts.Comment: Accepted to IEEE ICBC 202

Raja Jurdak - One of the best experts on this subject based on the ideXlab platform.

  • trust management in decentralized iot access control system
    2020 IEEE International Conference on Blockchain and Cryptocurrency (ICBC), 2020
    Co-Authors: Guntur Dharma Putra, Volkan Dedeoglu, Salil S Kanhere, Raja Jurdak
    Abstract:

    Heterogeneous and dynamic IoT environments require a lightweight, scalable, and trustworthy access control system for protection from unauthorized access and for automated detection of compromised Nodes. Recent proposals in IoT access control systems have incorporated blockchain to overcome inherent issues in conventional access control schemes. However, the dynamic interaction of IoT networks remains uncaptured. Here, we develop a blockchain based Trust and Reputation System (TRS) for IoT access control, which progressively evaluates and calculates the trust and reputation score of each Participating Node to achieve a self-adaptive and trustworthy access control system. Trust and reputation are explicitly incorporated in the attribute-based access control policy, so that different Nodes can be assigned to different access right levels, resulting in dynamic access control policies. We implement our proposed architecture in a private Ethereum blockchain comprised of a Docker container network. We benchmark our solution using various performance metrics to highlight its applicability for IoT contexts.