Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Hybrid Bayesian and modified grey PROMETHEE-AL model-based trust estimation technique for thwarting malicious and selfish nodes in MANETs Subject The topic of the resource Bayesian bestworst method (BBWM); Cooperation; Grey Theory; Mobile ad hoc networks (MANETs); The preference ranking organization method for enrichment of evaluations (PROMETHEE) Description An account of the resource Cooperation among mobile nodes during the routing process is indispensable for attaining reliable data delivery between the source and destination nodes in the Mobile ad hoc networks (MANETs). This cooperation between mobile nodes sustains the performance of the network especially when they are been deployed for handling an emergency scenario like forest fire, flooding, and military vehicle monitoring. In specific, the criteria considered for determining the cooperation degree of mobile nodes attributed towards the routing proves is dynamic and uncertain. In this paper, Hybrid Bayesian, and Modified Grey PROMETHEE-AL Model-based Trust Estimation (MGPALTE) technique is proposed for thwarting Malicious and Selfish Nodes for enforcing cooperation between the mobile nodes in MANETs. It specifically utilized Bayesian BestWorst Method method for generating the set of weights related to objective group criteria. It is also used for aggregating the judgements of cooperation determined during indirect monitoring process. Moreover, Grey theory is integrated with the classical PROMETHEE for improving its efficacy in terms of accuracy with respect to ranking of mobile nodes participating in the process of routing. This proposed MGPALTE technique isolated the malicious mobile nodes from the routing path depending on the threshold of detection. The simulation results of the proposed MGPALTE technique confirmed better packer delivery rate of 19.21%, improved throughput of 22.38%, minimized delay of 23.19%, and reduced end-to-end delay of 21.36%, better than the competitive cooperation enforcement strategies with different number of mobile nodes in the network. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Creator An entity primarily responsible for making the resource Suresh J.; Sahayaraj J.M.; Rajakumar B.; Jayapandian N. Source A related resource from which the described resource is derived Wireless Networks, Vol-30, No. 3, pp. 1697-1718. Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s11276-023-03605-0" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s11276-023-03605-0</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181190494&amp;doi=10.1007%2Fs11276-023-03605-0&amp;partnerID=40&amp;md5=b8f76b01e09e36b724dad2df2780f8c1" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181190494&amp;doi=10.1007%2fs11276-023-03605-0&amp;partnerID=40&amp;md5=b8f76b01e09e36b724dad2df2780f8c1</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 10220038; CODEN: WINEF Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Suresh J., Department of Computer Science and Engineering, CARE College of Engineering, Tamil Nadu, Trichy, 620009, India; Sahayaraj J.M., Department of Electronics and Communication Engineering, Sri Indu College of Engineering and Technology, TS, Hyderabad, 501510, India; Rajakumar B., Department of Artificial Intelligence, Saveetha School of Engineering, Thandalam, Chennai, 602 105, India; Jayapandian N., Department of Computer Science and Engineering, School of Engineering and Technology, Christ University, Kengeri Campus, Bangalore, India