A trusted fuzzy based stable and secure routing algorithm for effective communication in mobile adhoc networks

Rajeswari, A.; Kanagasabai, Kulothungan; Ganapathy, Sannasi; Kannan, A.

doi:10.1007/s12083-019-00766-8

Cited by 49 publications

(29 citation statements)

References 46 publications

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“…Li [9] proposed time-data-driven sleep scheduling and spatial-data-driven anomaly detection approaches to reduce data redundancy. Rajeswari [10] proposed an improved traffic generation mechanism based on TCP/IP protocol to alleviate network congestion. To reduce energy consumption and data loss due to network congestion, Sangeetha [11] proposed an energy-saving congestion control method which periodically adjusts the degree and topology of sensor nodes according to a certain time interval.…”

Section: Related Workmentioning

confidence: 99%

A Novel Fuzzy PID Congestion Control Model Based on Cuckoo Search in WSNs

Lin

You

Chen

2020

Sensors

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Wireless Sensor Networks (WSNs) consist of multiple sensor nodes, each of which has the ability to collect, receive and send data. However, irregular data sources can lead to severe network congestion. To solve this problem, the Proportional Integral Derivative (PID) controller is introduced into the congestion control mechanism to control the queue length of messages in nodes. By running the PID algorithm on cluster head nodes, the effective collection of sensor data is realized. In addition, a fuzzy control algorithm is proposed to solve the problems of slow parameter optimization, limited adaptive ability and poor optimization precision of traditional PID controller. However, the parameter selection of the fuzzy control algorithm relies too much on expert experience and has certain limitations. Therefore, this manuscript proposes the Cuckoo Fuzzy-PID Controller (CFPID), whose core idea is to apply the cuckoo search algorithm to optimize the fuzzy PID controller’s quantization factor and PID parameter increment. Simulation results show that in comparison with the existing methods, the instantaneous queue length and real-time packet loss rate of CFPID are better.

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Section: Related Workmentioning

confidence: 99%

A Novel Fuzzy PID Congestion Control Model Based on Cuckoo Search in WSNs

Lin

You

Chen

2020

Sensors

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“…However, the proposed technique still faces the challenges on how to revoke and validate the certificate at a node. Rajeswari et al [34] proposed a secure routing approach that integrates two algorithms called a trust-based next forwarding node selection (TNFNS) algorithm and a fuzzy-based stable and secure routing (FBSSR) algorithm. The proposed mechanism provides a solution to the dynamic nature of MANETs with distinct characteristics like resource constraint, decentralized management, frequent mobility, dynamic topology, and control that leads to additional overhead in the provision of safe and steady routing.…”

Section: Related Workmentioning

confidence: 99%

A Secure Data Dissemination in a DHT-Based Routing Paradigm for Wireless Ad Hoc Network

Kousar

Alhaisoni

Akhtar

et al. 2020

Wireless Communications and Mobile Computing

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Over the past decade, distributed hash table- (DHT-) based routing protocols have been adopted in wireless ad hoc networks (WANETs) to achieve scalability in the route discovery phase by avoiding the flooding mechanism. The security aspects of the routing protocols based on the DHT mechanism are crucial to address and have not been discussed in the existing literature. Therefore, addressing the security issues in DHT-based routing protocols would prevent the service disruption, decrease the traffic overhead, and reduce the packet loss in the network. In this paper, several security issues are identified and elaborated through an example scenario. Moreover, a novel DHT-based routing protocol is proposed that uses a digital signature and the user’s trust in order to swap securely the logical identifiers (LIDs). Trust between nodes is established by the user’s acquaintance and the first visual contact. The proposed protocol vindicates its effectiveness via simulation results in terms of computation time, normalized overhead, percent improvement, and packet delivery ratio.

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“…The various effective Intrusion Detection Systems [35][36][37][38][39] and intelligent data mining systems [40][41][42][43][44][45] are perceived and discussed by eminent educators in this direction. The conception of intrusion detection started with the work by Anderson [5] that described misuse detection is possible through the audit trails.…”

Section: Related Workmentioning

confidence: 99%

“…Automatic feature selection is obtained using the Correlation based feature selection in [22]. In [23] The standard benchmark dataset called KDD'99 Cup dataset has been used for evaluating the intrusion detection system in the various intrusion detection systems [35][36][37][38][39] and the intelligent agents are also used by various researchers in their prediction and detection systems [40][41][42][43][44][45]. These intelligent systems have been achieved better detection accuracy with less false alarm rate.…”

Section: Related Workmentioning

confidence: 99%

Feature Reduction using Lasso Hybrid Algorithm in Wireless Intrusion Detection System

Vijayakumar¹,

Ganapathy²

2019

IJITEE

Self Cite

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To maintain the integrity and protection of networks, intrusion detection systems play a vital role. Growth of wireless networks turned the globe to perform all pecuniary tasks online resulting a lot of security breaches in the network. One of the common breaches happening in network is the intruders who eventually tries to bypass the adopted security framework. Every day new intrusions arises and new solutions as well, however the research in making the intrusion detection system intelligent holds energetic. Today most of the systems are becoming intelligent by adopting machine learning and artificial intelligence algorithms. Success of building an efficient machine learning model to make intelligent intrusion detection system is relied on the effective features considered for classification and prediction. Thus, feature reduction is an integral part for discarding irrelevant and redundant features to produce a computationally decisive system that can identify defects with high accuracy. This implementation is an attempt to identify the smaller feature set possible for the well adopted wireless intrusion detection dataset AWID. Here, we proposed a LASSO based implementation to produce a smaller decisive set of features. Incorporation of Lasso on feature reduction not only provides a smaller set of features, but also allow to adopt prediction algorithms inside Lasso resulting lesser number of false alarms as well

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A trusted fuzzy based stable and secure routing algorithm for effective communication in mobile adhoc networks

Cited by 49 publications

References 46 publications

A Novel Fuzzy PID Congestion Control Model Based on Cuckoo Search in WSNs

A Novel Fuzzy PID Congestion Control Model Based on Cuckoo Search in WSNs

A Secure Data Dissemination in a DHT-Based Routing Paradigm for Wireless Ad Hoc Network

Feature Reduction using Lasso Hybrid Algorithm in Wireless Intrusion Detection System

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