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

Ponguwala, Maitreyi; Rao, Dr.S.P.V. Subba

doi:10.4108/eai.13-7-2018.160834

Cited by 15 publications

(6 citation statements)

References 35 publications

(29 reference statements)

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“…(2). [25] c) (3). [24] d) MDR= and FAR= (4) where N f is the number of false packets, which is recognized as true packets, N i is the total number of packets and N mis is the number of true packets, which is recognized as false packets and N is the number of true packets.…”

Section: Resultsmentioning

confidence: 99%

Security T hreat of MANE T: A Comprehensive Architecture

Sidhu*,

Krishan

2020

IJITEE

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Throughout security in Mobile Ad-Hoc Network is the most critical worry for the fundamental convenience of the structure. The openness of framework organizations, protection and trustworthiness of the data can be cultivated by ensuring that the security issues have been met. Considering the features like open medium, a rapid change in the topology, MANET experience the evil impacts of various attacks. The network may have to suffer in two scenarios due to intrusion. First, when a node of the current network is influenced by the intruder and second which the intruder is participating himself. In both the cases, the earnest aim of the intruder to drop maximum number of packets and to produce un-necessary delay which may further produces routing overhead. In order to mitigate the effects of the intrusion, a lot of researchers have contributed and has studied the nature of the intrusion. This paper illustrates some of the recent articles over different security breaches and their possible solutions.

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Section: Resultsmentioning

confidence: 99%

Security T hreat of MANE T: A Comprehensive Architecture

Sidhu*,

Krishan

2020

IJITEE

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“…For any V i , j ∈ C k , if d i j < 2R and T rri > T ′ rri . The node j is determined to be the cooperative node of the network attack, and i is the attacking node of the network; otherwise, if the node is not identified as the above-mentioned attacking node, the node is a normal node [28,29].…”

Section: ) Intrusion Detection Partmentioning

confidence: 99%

Research on Data Security Detection Algorithm in IoT Based on K-means

Zhu

Huo

Ansari

et al. 2021

SCPE

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The development of the Internet of Things has prominently expanded the perception of human beings, but ensuing security issues have attracted people's attention. From the perspective of the relatively weak sensor network in the Internet of Things. Proposed method is aiming at the characteristics of diversification and heterogeneity of collected data in sensor networks; the data set is clustered and analyzed from the aspects of network delay and data flow to extract data characteristics. Then, according to the characteristics of different types of network attacks, a hybrid detection method for network attacks is established. An efficient data intrusion detection algorithm based on K-means clustering is proposed. This paper proposes a network node control method based on traffic constraints to improve the security level of the network. Simulation experiments show that compared with traditional password-based intrusion detection methods; the proposed method has a higher detection level and is suitable for data security protection in the Internet of Things. This paper proposes an efficient intrusion detection method for applications with Internet of Things.

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“…MANET is susceptible to security attacks like greyhole attack, Sybil attack, blackhole attack, jamming attack, rushing attack. These attacks decrease the performance of the full network [8].…”

Section: Introductionmentioning

confidence: 99%

ANFIS Based Optimal Routing using Group Teaching and Adaptive Equilibrium Optimization based Trust Aware Routing Protocol in MANET

Hemalatha

Umamaheswari²,

Jothi

2021

Preprint

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Recently, routing is considered the main problem in MANET due to its dynamic nature. The route discovery and the optimal route selection from the multiple routes are established for the efficient routing in MANET. The major objective of this research is to select the optimal route for packet transmission in MANET. In this paper, four stages namely trust evaluation, route discovery, optmal route selection and route maintanance are elucidated. Initially, the trust evaluation is made by using ANFIS where the primary trust values are evaluated. The next stage is the route discovery scheme, in which the routes are established by Group teaching optimization algorithm (GTA). From the route discovery scheme, multiple routes are found. The optimal route for the transmission is selected with the help of the Adaptive equilibrium optimizer (AO) algorithm. Finally, the route maintenance process is established; if any of the routes fails for the broadcast it immediately selects the alternate optimal route from the multi-zone routing table for efficient packet transmission. The proposed approach is evaluated by various performance measures like throughput, energy consumption, packet delivery ratio, end-to-end delay, packet loss rate, detection rate, and routing overhead. This result describes that the proposed approach outperforms other state-of-art approaches.

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

Cited by 15 publications

References 35 publications

Security T hreat of MANE T: A Comprehensive Architecture

Security T hreat of MANE T: A Comprehensive Architecture

Research on Data Security Detection Algorithm in IoT Based on K-means

ANFIS Based Optimal Routing using Group Teaching and Adaptive Equilibrium Optimization based Trust Aware Routing Protocol in MANET

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