The Experts below are selected from a list of 162 Experts worldwide ranked by ideXlab platform

Sachin Shetty - One of the best experts on this subject based on the ideXlab platform.

  • A Reputation-Based Coalition Game to Prevent Smart Insider Jamming Attacks in MANETs
    2016
    Co-Authors: Taiwo Oyedare, Ashraf Al Sharah, Sachin Shetty
    Abstract:

    Mobile Adhoc Networks (MANET) are susceptible to jamming attacks which can inhibit data transmissions. There has been considerable work done in the detection of external jamming attacks. However, detection of insider jamming attack in MANET has not received enough attention. The presence of an insider Node that has constantly monitored the network and is privy to the network secrets can acquire sufficient information to cause irreparable damage. In this paper we propose a framework for a novel reputation-based coalition game between multiple players in a MANET to prevent internal attacks caused by an erstwhile Legitimate Node. A grand coalition is formed which will make a strategic security defense decision by depending on the stored transmission rate and reputation for each individual Node in the coalition. Our results show that the simulation of the reputation-based coalition game would help improve the network’s defense strategy while also reducing false positives that results from the incorrect classification of unfortunate Legitimate Nodes as insider jammers.

  • WWIC - A Reputation-Based Coalition Game to Prevent Smart Insider Jamming Attacks in MANETs
    Lecture Notes in Computer Science, 2016
    Co-Authors: Taiwo Oyedare, Ashraf Al Sharah, Sachin Shetty
    Abstract:

    Part 6: Network ModelingInternational audienceMobile Adhoc Networks (MANET) are susceptible to jamming attacks which can inhibit data transmissions. There has been considerable work done in the detection of external jamming attacks. However, detection of insider jamming attack in MANET has not received enough attention. The presence of an insider Node that has constantly monitored the network and is privy to the network secrets can acquire sufficient information to cause irreparable damage. In this paper we propose a framework for a novel reputation-based coalition game between multiple players in a MANET to prevent internal attacks caused by an erstwhile Legitimate Node. A grand coalition is formed which will make a strategic security defense decision by depending on the stored transmission rate and reputation for each individual Node in the coalition. Our results show that the simulation of the reputation-based coalition game would help improve the network’s defense strategy while also reducing false positives that results from the incorrect classification of unfortunate Legitimate Nodes as insider jammers

Taiwo Oyedare - One of the best experts on this subject based on the ideXlab platform.

  • A Reputation-Based Coalition Game to Prevent Smart Insider Jamming Attacks in MANETs
    2016
    Co-Authors: Taiwo Oyedare, Ashraf Al Sharah, Sachin Shetty
    Abstract:

    Mobile Adhoc Networks (MANET) are susceptible to jamming attacks which can inhibit data transmissions. There has been considerable work done in the detection of external jamming attacks. However, detection of insider jamming attack in MANET has not received enough attention. The presence of an insider Node that has constantly monitored the network and is privy to the network secrets can acquire sufficient information to cause irreparable damage. In this paper we propose a framework for a novel reputation-based coalition game between multiple players in a MANET to prevent internal attacks caused by an erstwhile Legitimate Node. A grand coalition is formed which will make a strategic security defense decision by depending on the stored transmission rate and reputation for each individual Node in the coalition. Our results show that the simulation of the reputation-based coalition game would help improve the network’s defense strategy while also reducing false positives that results from the incorrect classification of unfortunate Legitimate Nodes as insider jammers.

  • WWIC - A Reputation-Based Coalition Game to Prevent Smart Insider Jamming Attacks in MANETs
    Lecture Notes in Computer Science, 2016
    Co-Authors: Taiwo Oyedare, Ashraf Al Sharah, Sachin Shetty
    Abstract:

    Part 6: Network ModelingInternational audienceMobile Adhoc Networks (MANET) are susceptible to jamming attacks which can inhibit data transmissions. There has been considerable work done in the detection of external jamming attacks. However, detection of insider jamming attack in MANET has not received enough attention. The presence of an insider Node that has constantly monitored the network and is privy to the network secrets can acquire sufficient information to cause irreparable damage. In this paper we propose a framework for a novel reputation-based coalition game between multiple players in a MANET to prevent internal attacks caused by an erstwhile Legitimate Node. A grand coalition is formed which will make a strategic security defense decision by depending on the stored transmission rate and reputation for each individual Node in the coalition. Our results show that the simulation of the reputation-based coalition game would help improve the network’s defense strategy while also reducing false positives that results from the incorrect classification of unfortunate Legitimate Nodes as insider jammers

Saurabh Bagchi - One of the best experts on this subject based on the ideXlab platform.

  • CNS - Low-complexity secure protocols to defend cyber-physical systems against network isolation attacks
    2013 IEEE Conference on Communications and Network Security (CNS), 2013
    Co-Authors: Dong Hoon Shin, Saurabh Bagchi, Lei Yang, Junshan Zhang
    Abstract:

    This paper studies the network isolation attack, a devastating type of attacks on cyber-physical systems. In this attack, an adversary compromises a set of Nodes that enclose a region in order to isolate the region from the rest of the network. Assuming that the compromised Nodes wish not to be detected, we propose a solution to defend against the network isolation attack. Our goal is to achieve the following security guarantee: either a Legitimate Node can successfully deliver a message to another Legitimate Node, or the network control center can identify a small set of suspect Nodes, which are guaranteed to contain a compromised Node. Toward achieving this goal, we develop two protocols: one is for secure delivery of messages among Nodes and the other is for secure collection of messages from Nodes at the network control center. We show that our proposed protocols are provably secure, i.e., attain the aforementioned security guarantee. Further, our protocols achieve this guarantee with overhead that is orders-of-magnitude smaller than existing baseline protocols. Our proposed protocols are thus scalable for large networks.

  • Stealthy Attacks in Wireless Ad Hoc Networks: Detection and Countermeasure
    IEEE Transactions on Mobile Computing, 2011
    Co-Authors: Issa Khalil, Saurabh Bagchi
    Abstract:

    Stealthy packet dropping is a suite of four attacks-misrouting, power control, identity delegation, and colluding collision-that can be easily launched against multihop wireless ad hoc networks. Stealthy packet dropping disrupts the packet from reaching the destination through malicious behavior at an intermediate Node. However, the malicious Node gives the impression to its neighbors that it performs the Legitimate forwarding action. Moreover, a Legitimate Node comes under suspicion. A popular method for detecting attacks in wireless networks is behavior-based detection performed by normal network Nodes through overhearing the communication in their neighborhood. This leverages the open broadcast nature of wireless communication. An instantiation of this technology is local monitoring. We show that local monitoring, and the wider class of overhearing-based detection, cannot detect stealthy packet dropping attacks. Additionally, it mistakenly detects and isolates a Legitimate Node. We present a protocol called Sadec that can detect and isolate stealthy packet dropping attack efficiently. Sadec presents two techniques that can be overlaid on baseline local monitoring: having the neighbors maintain additional information about the routing path, and adding some checking responsibility to each neighbor. Additionally, Sadec provides an innovative mechanism to better utilize local monitoring by considerably increasing the number of Nodes in a neighborhood that can do monitoring. We show through analysis and simulation experiments that baseline local monitoring fails to efficiently mitigate most of the presented attacks while SADEC successfully mitigates them.

L. Shi - One of the best experts on this subject based on the ideXlab platform.

  • BANA: Body Area Network Authentication Exploiting Channel Characteristics
    IEEE Journal on Selected Areas in Communications, 2013
    Co-Authors: L. Shi, Jiawei Yua
    Abstract:

    In wireless body area network (BAN), Node authentication is essential for trustworthy and reliable gathering of patient's critical health information. Traditional authentication solutions depend on prior trust among Nodes whose establishment would require either key pre-distribution or non-intuitive participation by inexperienced users. Most existing non-cryptographic authentication schemes require advanced hardware or significant modifications to the system software, which are impractical for BANs. In this paper, for the first time, we propose a lightweight body area network authentication scheme BANA. Different from previous work, BANA does not depend on prior-trust among Nodes and can be efficiently realized on commercial off-the-shelf low-end sensors. We achieve this by exploiting a unique physical layer characteristic naturally arising from the multi-path environment surrounding a BAN, i.e., the distinct received signal strength (RSS) variation behaviors among on-body channels and between on-body and off-body communication channels. Based on distinct RSS variations, BANA adopts clustering analysis to differentiate the signals from an attacker and a Legitimate Node. We also make use of multi-hop on-body channel characteristics to enhance the robustness of our authentication mechanism. The effectiveness of BANA is validated through extensive real-world experiments under various scenarios. It is shown that BANA can accurately identify multiple attackers with minimal amount of overhead.

  • {BANA}: Body Area Network Authentication Exploiting Channel Characteristics
    Proceedings of the Fifth {ACM} Conference on Security and Privacy in Wireless and Mobile Networks, 2012
    Co-Authors: L. Shi, Shucheng Yu, Ming Li, Jiawei Yuan
    Abstract:

    Wireless body area network ({BAN}) is a promising technology for real-time monitoring of physiological signals to support medical applications. In order to ensure the trustworthy and reliable gathering of patient's critical health information, it is essential to provide Node authentication service in a {BAN}, which prevents an attacker from impersonation and false data/command injection. Although quite fundamental, the authentication in {BAN} still remains a challenging issue. On one hand, traditional authentication solutions depend on prior trust among Nodes whose establishment would require either key pre-distribution or non-intuitive participation by inexperienced users, while they are vulnerable to key compromise. On the other hand, most existing non-cryptographic authentication schemes require advanced hardware capabilities or significant modifications to the system software, which are impractical for {BANs}. In this paper, for the first time, we propose a lightweight body area network authentication scheme ({BANA}) that does not depend on prior-trust among the Nodes and can be efficiently realized on commercial off-the-shelf low-end sensor devices. This is achieved by exploiting physical layer characteristics unique to a {BAN}, namely, the distinct received signal strength ({RSS}) variation behaviors between an on-body communication channel and an off-body channel. Our main finding is that the latter is more unpredictable over time, especially under various body motion scenarios. This unique channel characteristic naturally arises from the multi-path environment surrounding a {BAN}, and cannot be easily forged by attackers. We then adopt clustering analysis to differentiate the signals from an attacker and a Legitimate Node. The effectiveness of {BANA} is validated through extensive real-world experiments under various scenarios. It is shown that {BANA} can accurately identify multiple attackers with minimal amount of overhead.

Ashraf Al Sharah - One of the best experts on this subject based on the ideXlab platform.

  • A Reputation-Based Coalition Game to Prevent Smart Insider Jamming Attacks in MANETs
    2016
    Co-Authors: Taiwo Oyedare, Ashraf Al Sharah, Sachin Shetty
    Abstract:

    Mobile Adhoc Networks (MANET) are susceptible to jamming attacks which can inhibit data transmissions. There has been considerable work done in the detection of external jamming attacks. However, detection of insider jamming attack in MANET has not received enough attention. The presence of an insider Node that has constantly monitored the network and is privy to the network secrets can acquire sufficient information to cause irreparable damage. In this paper we propose a framework for a novel reputation-based coalition game between multiple players in a MANET to prevent internal attacks caused by an erstwhile Legitimate Node. A grand coalition is formed which will make a strategic security defense decision by depending on the stored transmission rate and reputation for each individual Node in the coalition. Our results show that the simulation of the reputation-based coalition game would help improve the network’s defense strategy while also reducing false positives that results from the incorrect classification of unfortunate Legitimate Nodes as insider jammers.

  • WWIC - A Reputation-Based Coalition Game to Prevent Smart Insider Jamming Attacks in MANETs
    Lecture Notes in Computer Science, 2016
    Co-Authors: Taiwo Oyedare, Ashraf Al Sharah, Sachin Shetty
    Abstract:

    Part 6: Network ModelingInternational audienceMobile Adhoc Networks (MANET) are susceptible to jamming attacks which can inhibit data transmissions. There has been considerable work done in the detection of external jamming attacks. However, detection of insider jamming attack in MANET has not received enough attention. The presence of an insider Node that has constantly monitored the network and is privy to the network secrets can acquire sufficient information to cause irreparable damage. In this paper we propose a framework for a novel reputation-based coalition game between multiple players in a MANET to prevent internal attacks caused by an erstwhile Legitimate Node. A grand coalition is formed which will make a strategic security defense decision by depending on the stored transmission rate and reputation for each individual Node in the coalition. Our results show that the simulation of the reputation-based coalition game would help improve the network’s defense strategy while also reducing false positives that results from the incorrect classification of unfortunate Legitimate Nodes as insider jammers