Dynamic Trust Based Secure Multipath Routing for Mobile Ad-Hoc Networks

Sathiyavathi, V.; Reshma, R.; Parvin, Shamsad; SaiRamesh, L.; Ayyasamy, A.

doi:10.1007/978-3-030-28364-3_63

Cited by 7 publications

(3 citation statements)

References 8 publications

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“…The optimization was also enhanced by providing energy efficient routing with mobility [11][12][13][14][15][16]. BER parameter for binary modulation scheme was tabulated for calculating the error rate analysis.…”

Section: Related Workmentioning

confidence: 99%

Multi-Objective Optimization Technique for Channel Allocation in Wireless Networks

Reeginal¹,

Anu²,

Archana³

et al. 2022

Advances in Parallel Computing Algorithms, Tools and Paradigms

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The channel allocation is the primary concept for enhancing the throughput and channel quality. The target channel allocation will enhance the performance by minimizing the noise rate as the resource utilization leads to an important problem for primary user. The dynamic channel allocation technique is maintained in this paper through the multi-objective optimization technique. The poor resource allocation leads to desperate problem in the wireless network, the proposed technique shows the improved throughput and energy proficiency.

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Section: Related Workmentioning

confidence: 99%

Multi-Objective Optimization Technique for Channel Allocation in Wireless Networks

Reeginal¹,

Anu²,

Archana³

et al. 2022

Advances in Parallel Computing Algorithms, Tools and Paradigms

View full text Add to dashboard Cite

show abstract

“…Every request traffic feature was then extracted as of the request which was well-stored in the database. As of such extracted features, the quality value was scrutinized grounded on the feature state and actions which aided in ascertaining the secured data's quality [30][31][32][33][34]. Here, the LDQN approach attained the minimal error rate (0.120) which ameliorated the malware detection rate (98.790%).…”

Section: Literature Reviewmentioning

confidence: 99%

Attack Detection on IoT Based Smart Cities using IDS Based MANFIS Classifier and Secure Data Transmission Using IRSA Encryption

Duraisamy

Subramaniam²

2021

Wireless Pers Commun

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Enhancing the quality of human's daily life in respects of comfort is the chief objective of smart environments (SE). The Internet of Things (IoT) is basically an increasing network of smart objects. It commences diverse services in human's routine life relying on its available and also dependable activities. The chief problems in any real-globe SE centered upon the IoT model are the security in addition to privacy. The security susceptibility in IoT-centered systems creates security risks that affect SE applications. So, an Intrusion Detection System (IDS) based Modified Adaptive Neuro-Fuzzy Inference System is proposed aimed at detecting the attacks on IoT Smart Cities (SM). The proposed method comprises '2' phases. They are training and testing. First, the IDS are trained by performing three processes: preprocessing, feature selection (FS) and classification. For training, the proposed technique utilizes the data from the NSL_KDD dataset. Then, IoT sensor values are tested employing the same steps of training. The result of testing comprises '2' models. They are the attacked data and non-attacked data. The non-attacked data is sent to the user securely with the help of Improved Rivest Shamir Adleman method. After that, the user receives and decrypts the data. Then, the decrypted data is forecasted for further analysis. The proposed techniques' experimental outcomes used in FS, classification, and also secure data transmission are contrasted with the existent methods. KeywordsAttack detection • Internet of Things (IoT) • Smart cities • Crow search optimization (CSO) • Chaotic mapping (CM) • CM based CSO (CM-CSO) • Adaptive neuro fuzzy inference system (ANFIS) • Modified ANFIS (MANFIS) • Intrusion detection system (IDS) • Rivest Shamir Adleman (RSA) encryption • Improved RSA (IRSA)

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“…Sathiyavathi et al 11 propose a novel secure routing protocol for mobile ad hoc networks. The intruder nodes are identified based on the packet delivery model throughout the communication.…”

Section: Related Workmentioning

confidence: 99%

A trust‐based mechanism in multipath routing using Biogeography‐Shun Optimization

Govindaraj¹,

Arumugam²

2021

Int J Communication

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Summary In mobile ad hoc network, a group of mobile nodes interconnect with each other in an ad hoc manner without any centralized administration. Various applications are based on integrating mobile ad hoc network and cloud computing to enhance the processing and storing of mobile nodes. Cloud service providers provide mobile ad hoc network users access to applications and other mobile ad hoc network users. Implementing security mechanism for ad hoc routing can be a daunting task owing it its unique network traits. Blackhole attack found in the mobile ad hoc network takes place when malicious nodes attract data packets using a fresh destination route and drop the packets. In this work, a trust‐based routing that has a probability of a new packet forwarding is proposed to mitigate blackhole attacks. The ad hoc on‐demand multipath distance vector routing protocol is used in this work, which is based on the trust model that measures the trust of nodes and composes a decision, respectively. A novel optimization technique that has its basis in the Biogeography‐Shun Optimization algorithm is suggested for enhancing the multipath routing. Simulations demonstrate that the proposed method attains better performance by enhancing lifetime of network and packet delivery ratio and reducing end‐to‐end delay.

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Dynamic Trust Based Secure Multipath Routing for Mobile Ad-Hoc Networks

Cited by 7 publications

References 8 publications

Multi-Objective Optimization Technique for Channel Allocation in Wireless Networks

Multi-Objective Optimization Technique for Channel Allocation in Wireless Networks

Attack Detection on IoT Based Smart Cities using IDS Based MANFIS Classifier and Secure Data Transmission Using IRSA Encryption

A trust‐based mechanism in multipath routing using Biogeography‐Shun Optimization

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