An Efficient Secure Group Communication in MANET Using Fuzzy Trust Based Clustering and Hierarchical Distributed Group Key Management

Gomathi, K.; Parvathavarthini, B.; Saravanakumar, C.

doi:10.1007/s11277-016-3366-x

Cited by 16 publications

(11 citation statements)

References 15 publications

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“…In addition, packet dropping and packet redirecting attack are also held on the network. For securing group communication, three clustering algorithms were presented in MANET [20] as follows: (i) simple clustering algorithm, (ii) weighted clustering algorithm, and (iii) fuzzy clustering algorithm. In simple clustering algorithm, cluster formation is performed based on single metric known as connectivity.…”

Section: Survey On Security Mechanismsmentioning

confidence: 99%

Secure Group based Routing and Flawless Trust Formulation in MANET using Unsupervised Machine Learning Approach for IoT Applications

Ponguwala¹,

Rao²

2019

EAI Endorsed Transactions on Energy Web

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INTRODUCTION: Mobile Adhoc Network (MANET) is integrated with Internet of Things (IoT) in many application cases due to its flexibility and scalability. The dynamic nature of MANET introduces some security threats in IoT environment. In those threats, Blackhole attack and Grayhole attack are severe routing attacks that disrupts routing algorithm to crack transmission in the entire network. OBJECTIVES: Many security mechanisms are introduced in MANET based on trust computation schemes. However, computation of inaccurate trust value degrades the performance of mitigation schemes. Thus the major objective of this work is to design a novel security mechanism to protect the MANET-IoT from different adversaries. METHODS: in this paper we propose a novel group based routing algorithm with recommendation filtering supported by security monitors (SMs). Unsupervised machine learning algorithm is adapted for the purpose of recommendation filtering in the network. Initially the entire network is grouped by Secure Certificate based Group Formation (SCGF) algorithm. In each group, Recommendation Filtering by K-means algorithm (RF-K means) algorithm is employed to perform trust computation. For secure and optimal route selection, hybrid optimization algorithm that combines Genetic Algorithm and Fire Fly Algorithm (GA-FFA) is proposed. Data transmission is protected by novel Hash Message Authentication Code with Advanced Encryption Standard (HMAC-AES) algorithm in which hash function is integrated with cryptography function. RESULTS: The proposed work is validated in network simulator-3 environment and the obtained results show better performance in terms of packet delivery ratio (96.3%), throughput (135kbps), delay (3.26ms), detection rate (99%), and energy consumption (8.5%). CONCLUSION: The MANET-IoT network is secured by group formation and trust filtering approaches. Further, involvement of cryptography function ensures data security whereas hash function ensures data integrity..

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Section: Survey On Security Mechanismsmentioning

confidence: 99%

Secure Group based Routing and Flawless Trust Formulation in MANET using Unsupervised Machine Learning Approach for IoT Applications

Ponguwala¹,

Rao²

2019

EAI Endorsed Transactions on Energy Web

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“…For multiple moves, an efficient mechanism for group authentication should be considered by the GKM protocol [18]. Examples: Baal, DEP (Dual Encryption Protocol), SMKD, IGKMP (Intra Domain GKM Protocol), MARKS, HYDRA, KRONOS, etc., [24]. Some of these examples were discussed below,…”

Section: Tek Per Each Groupmentioning

confidence: 99%

“…The Two Round key agreement Protocol (TRP) was used for the purpose of intra-cluster communication. The inter cluster keys were used instead of global key for nearby cluster communication [24]. One of the most important challenge encountered by this Distributed GKM is, a) Operational inefficiency: In distributed scheme, the features of fault tolerance sacrifices its operational efficiency due to the effects of computation overhead and communication cost.…”

Section: Distributed Group Key Managementmentioning

confidence: 99%

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Multicast Communication using Different Group Key Managements

S¹,

Aithal²,

Shetty³

2019

IJRTE

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Abstract: The most appropriate communication mechanism for transfer of packets from one source to another is multicast IPv6 communication. Nowadays, multicast communication plays a major role in a large number of communication applications. In this multicast communication, the message privacy attains a highest position. The members of multicast are dynamic so they permit the host members to enter and depart the cluster without the permission of remaining group members and, it can't provide any transfer without the interference of host, this may reduce the performance. For security enhancement in multicast communication Group Key Management (GKM) was introduced.There are three different approaches in GKM and they were mainly involved to overcome the issues of host mobility in multicast communication. The challenges that are encountered by these GKM approaches their requirements and challenges was also discussed in this paper. Finally, some questions and their explanations were provided along with it. These GKM approaches will improve the privacy of multicast communication. So, the packets can deliver to the group members without any interference.

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“…In view of the MANET's (Mobile Adhoc Network) dynamic, the proposed protocols adeptly address the dynamic events. It is designed exclusive of utilizing calculation-exhaustive pairings [22] and is extremely efficient relative to the existing hybrid cluster-based GKA protocols [20,[23][24][25][26][27][28][29].…”

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confidence: 99%

A provably secure cluster-based hybrid hierarchical group key agreement for large wireless ad hoc networks

Naresh¹,

Reddi²,

Murthy

2019

Hum. Cent. Comput. Inf. Sci.

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WANETS provide whenever-wherever networking amenities for communication establishment through the public wireless medium. In this environment, Secure-GKA and proficient group key management are known to be complicated tasks with respect to both computational and algorithmic points of view because of resource constraints in WANET [1]. There is an extensive range of applications for WANET which includes emergency medical services deployed in various environments which can considerably improve the quality of medical care; military applications, rescue missions, collaborative

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An Efficient Secure Group Communication in MANET Using Fuzzy Trust Based Clustering and Hierarchical Distributed Group Key Management

Cited by 16 publications

References 15 publications

Secure Group based Routing and Flawless Trust Formulation in MANET using Unsupervised Machine Learning Approach for IoT Applications

Secure Group based Routing and Flawless Trust Formulation in MANET using Unsupervised Machine Learning Approach for IoT Applications

Multicast Communication using Different Group Key Managements

A provably secure cluster-based hybrid hierarchical group key agreement for large wireless ad hoc networks

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