An Energy-Aware Trust Derivation Scheme With Game Theoretic Approach in Wireless Sensor Networks for IoT Applications

Duan, Junqi; Gao, Deyun; Yang, Dong; Foh, Chuan Heng; Chen, Hsiao‐Hwa

doi:10.1109/jiot.2014.2314132

Cited by 166 publications

(97 citation statements)

References 42 publications

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“…In [30], the authors proposed a risk strategy model to determine the optimal number of recommendations that can satisfy the security requirements of a network. Based on the optimal number of recommendations, they introduced a new trust derivation scheme.…”

Section: Related Work and Motivationmentioning

confidence: 99%

Soft-Computing Based Trust Management Framework for Group Key Management in MANETs

Gundluru¹,

Reddy²

2017

IJIES

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Abstract:We can realize instant joint group communication by forming Mobile Ad Hoc Networks without demanding any pre-plan or pre-existing infrastructure setup. Conversely, the curbs of these networks such as unreliable wireless medium, unpredictable topology, no central administration, fuel the compulsion of a key based cryptographic algorithm to defend data traffic. In this perspective, substantial research work has been done in the last decade or so and ascertained that the trust based frameworks for group key management deliver superior performance than others. Since the nodes in ad hoc networks have limited computing resources, the overall performance of the system depends on how effectively and securely designed the system. This encourages us to work on a framework which consumes less computing power and also invulnerable to internal as well as external attacks. We propose a framework which reduces the network resource consumption for the trust request and collection using game theory concept. The energy of the wireless nodes are significantly saved by choosing the novel strategy called as finding optimal set of remote nodes to send the response for trust request using game theory. Choosing local optimal at each stage eventually leads to global optimal. Later, synthesize the collected trust and handle the attacks using fuzzy concept in order to get the degree of trustworthiness instead of binary classification. We prove with our simulation results that our proposed scheme reduces overhead of the network significantly while without compromising security aspects.

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Section: Related Work and Motivationmentioning

confidence: 99%

Soft-Computing Based Trust Management Framework for Group Key Management in MANETs

Gundluru¹,

Reddy²

2017

IJIES

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“…In [13] Duan et al study the problem of creating an effective algorithm in terms of energy consumption and bandwidth usage, capable of evaluating node's trust derivation process. They use game theory to support the node decision with regard to replying a trust request with respect to the incurred energy consumption.…”

Section: Outlinementioning

confidence: 99%

A game-theoretic approach for minimizing security risks in the Internet-of-Things

Rontidis

Panaousis

Lászka

et al. 2015

2015 IEEE International Conference on Communication Workshop (ICCW)

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Abstract-In the Internet-of-Things (IoT), users might share part of their data with different IoT prosumers, which offer applications or services. Within this open environment, the existence of an adversary introduces security risks. These can be related, for instance, to the theft of user data, and they vary depending on the security controls that each IoT prosumer has put in place. To minimize such risks, users might seek an "optimal" set of prosumers. However, assuming the adversary has the same information as the users about the existing security measures, he can then devise which prosumers will be preferable (e.g., with the highest security levels) and attack them more intensively. This paper proposes a decision-support approach that minimizes security risks in the above scenario. We propose a non-cooperative, two-player game entitled Prosumers Selection Game (PSG). The Nash Equilibria of PSG determine subsets of prosumers that optimize users' payoffs. We refer to any game solution as the Nash Prosumers Selection (NPS), which is a vector of probabilities over subsets of prosumers. We show that when using NPS, a user faces the least expected damages. Additionally, we show that according to NPS every prosumer, even the least secure one, is selected with some non-zero probability. We have also performed simulations to compare NPS against two different heuristic selection algorithms. The former is proven to be approximately 38% more effective in terms of security-risk mitigation.

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“…The functionality of the proposed scheme has been extended and applied to the secure data aggregation. Jungi et al [20] proposed an energy aware trust derivation mechanism which is based on the game theoretical approach which manages overhead in the time of maintenance of security. The game theoretic approach is applied in the trust deviation process for reducing the overhead of the process.…”

Section: Related Workmentioning

confidence: 99%

Review on the Research Evolution on Secure Routing in Wireless Sensor Network

Fathima¹

2015

IJCA

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Security in routing mechanisms of Wireless Sensor Network (WSN) has become a key aspect of the current research fields where various security issues due to vulnerable attacks in WSN drag the attention of many researchers. This study is intended to investigate some of the existing secure routing techniques for WSN and emphasizes on the existing efficient secure routing techniques. Inferrencing has been done to evaluate the performance efficiency, limitations and the advantages of the different types of existing secure routing techniques. This paper focuses on the state-of-art study of the existing surveys and presents technologies which are emphasized on designing robustness and computationally efficient techniques for secure routing in WSN. This paper also discusses some of the most important and significant findings as well as a brief illustration of research gap for various robust and computational efficient secure routing techniques in the area of WSN, in addition the description of a set of gaps and recommendations will be helpful for future direction of research.

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An Energy-Aware Trust Derivation Scheme With Game Theoretic Approach in Wireless Sensor Networks for IoT Applications

Cited by 166 publications

References 42 publications

Soft-Computing Based Trust Management Framework for Group Key Management in MANETs

Soft-Computing Based Trust Management Framework for Group Key Management in MANETs

A game-theoretic approach for minimizing security risks in the Internet-of-Things

Review on the Research Evolution on Secure Routing in Wireless Sensor Network

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