{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:46:56Z","timestamp":1777704416881,"version":"3.51.4"},"reference-count":23,"publisher":"SAGE Publications","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IFS"],"published-print":{"date-parts":[[2023,8,24]]},"abstract":"<jats:p>Mobile ad hoc networks (MANET) have become one of the hottest research areas in computer science, including in military and civilian applications. Such applications have formed a variety of security threats, particularly in unattended environments. An Intrusion detection system (IDS) must be in place to ensure the security and reliability of MANET services. These IDS must be compatible with the characteristics of MANETs and competent in discovering the biggest number of potential security threats. In this work, a specialized dataset for MANET is implemented to identify and classify three types of Denial of Service (DoS) attacks: Blackhole, Grayhole and Flooding Attack. This work utilized a cluster-based routing algorithm (CBRA) in MANET.A simulation to gather data, then processed to create eight attributes for creating a specialized dataset using Java. Mamdani fuzzy-based inference system (MFIS) is used to create dataset labelling. Furthermore, an ensemble classification technique is trained on the dataset to discover and classify three types of attacks. The proposed ensemble classification has six base classifiers, namely, C4.5, Fuzzy Unordered Rule Induction Algorithm (FURIA), Multilayer Perceptron (MLP), Multinomial Logistic Regression (MLR), Naive Bayes (NB) and Support Vector Machine (SVM). The experimental results demonstrate that MFIS with the Ensemble classification technique enables an enhancing security in MANET\u2019s by modeling the interactions among a malicious node with number of legitimate nodes. This is suitable for future works on multilayer security problem in MANET.<\/jats:p>","DOI":"10.3233\/jifs-230161","type":"journal-article","created":{"date-parts":[[2023,6,13]],"date-time":"2023-06-13T10:12:24Z","timestamp":1686651144000},"page":"3567-3574","source":"Crossref","is-referenced-by-count":0,"title":["Fuzzy based inference system with ensemble classification based intrusion detection system in MANET"],"prefix":"10.1177","volume":"45","author":[{"given":"A.","family":"Arthi","sequence":"first","affiliation":[{"name":"Department of Artificial Intelligence and Data Science, Rajalakshmi Institute of Technology, Chennai, Tamilnadu, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A.","family":"Beno","sequence":"additional","affiliation":[{"name":"Department of Electronics and Communication Engineering, Dr. Sivanthi Aditanar College of Engineering, Tiruchendur, Tamilnadu, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S.","family":"Sharma","sequence":"additional","affiliation":[{"name":"Department of Electronics and Communication Engineering, New Horizon College of Engineering, Bangalore, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"B.","family":"Sangeetha","sequence":"additional","affiliation":[{"name":"Department of Electronics and Communication Engineering, AVS Engineering College, Salem, Tamilnadu, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","reference":[{"key":"10.3233\/JIFS-230161_ref1","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.jnca.2018.01.004","article-title":"Data collection for attack detection and security measurement in mobile ad hoc networks: A survey","volume":"105","author":"Liu","year":"2018","journal-title":"Journal of Network and Computer Applications"},{"issue":"2","key":"10.3233\/JIFS-230161_ref2","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1016\/j.jksuci.2017.12.005","article-title":"A review of forest fire surveillance technologies: Mobile ad-hoc network routing protocols perspective","volume":"31","author":"Dhief","year":"2019","journal-title":"Journal of King Saud University-Computer and Information Sciences"},{"issue":"2","key":"10.3233\/JIFS-230161_ref3","doi-asserted-by":"crossref","first-page":"7","DOI":"10.13189\/ujcn.2018.060201","article-title":"Security threats and solutions in mobile ad hoc networks; a review","volume":"6","author":"Ichaba","year":"2018","journal-title":"Universal J Commun Netw"},{"key":"10.3233\/JIFS-230161_ref4","doi-asserted-by":"crossref","unstructured":"Meitei M.G. and Sen B. , A study on a few approaches to counter security breaches in MANETs, In Advances in Communication, Cloud, and Big Data, (pp. 105\u2013116), Springer, Singapore (2019).","DOI":"10.1007\/978-981-10-8911-4_12"},{"issue":"8","key":"10.3233\/JIFS-230161_ref5","first-page":"108","article-title":"Intrusion Detection System-IDS","volume":"9","author":"Mihret","year":"2021","journal-title":"Am J Compt Sci Inform Technol"},{"issue":"4","key":"10.3233\/JIFS-230161_ref6","first-page":"257483","article-title":"Combined Approach for Detection and Prevention of Flooding and Blackhole Attack in MANET","volume":"4","author":"Panwar","journal-title":"International Journal of Engineering and Applied Sciences"},{"issue":"5","key":"10.3233\/JIFS-230161_ref7","doi-asserted-by":"crossref","first-page":"12689","DOI":"10.1007\/s10586-018-1723-0","article-title":"Denial of service attack solution in OLSR based manet by various fictitious nodes","volume":"22","author":"Bhuvaneswari","year":"2019","journal-title":"Cluster Computing"},{"key":"10.3233\/JIFS-230161_ref8","doi-asserted-by":"crossref","unstructured":"Ahmad S. , Alleviating Malicious Insider Attacks in MANET using a Multipath On-demand Security Mechanism, International Journal of Computer Network & Information Security 10(6) (2018).","DOI":"10.5815\/ijcnis.2018.06.04"},{"issue":"2","key":"10.3233\/JIFS-230161_ref9","doi-asserted-by":"crossref","first-page":"1275","DOI":"10.1007\/s11276-019-02151-y","article-title":"Modified zone-based intrusion detection system for security enhancement in mobile ad hoc networks","volume":"26","author":"Krishnan","year":"2020","journal-title":"Wireless Networks"},{"key":"10.3233\/JIFS-230161_ref10","first-page":"2444","article-title":"A Study on Discovering Malicious Nodes on MANET through Secure Intrusion Detection,","author":"Suganya","year":"2021","journal-title":"Annals of the Romanian Society for Cell Biology"},{"key":"10.3233\/JIFS-230161_ref11","doi-asserted-by":"crossref","unstructured":"Nagalakshmi T.J. and Raja P.C. , Detecting Packet Dropping Malicious Nodes in Manet Using SVM, Indian Journal of Public Health Research & Development 9(8) (2018).","DOI":"10.5958\/0976-5506.2018.00752.0"},{"issue":"2.6","key":"10.3233\/JIFS-230161_ref12","doi-asserted-by":"crossref","first-page":"135","DOI":"10.14419\/ijet.v7i2.6.10139","article-title":"Energy-aware detection and prevention of black hole attack in MANET","volume":"7","author":"Panda","year":"2018","journal-title":"International Journal of Engineering and Technology (UAE)"},{"issue":"3","key":"10.3233\/JIFS-230161_ref13","first-page":"585","article-title":"IDS Against Blackhole Attack for MANET","volume":"20","author":"Abdel-Azim","year":"2018","journal-title":"Int J Netw Secur"},{"key":"10.3233\/JIFS-230161_ref14","doi-asserted-by":"crossref","unstructured":"Naveena S. , Senthilkumar C. and Manikandan T. , Analysis and countermeasures of blackhole attack in manet by employing trust-based routing, In 2020 6th international conference on advanced computing and communication systems (ICACCS), (pp. 1222\u20131227), IEEE (2020, March).","DOI":"10.1109\/ICACCS48705.2020.9074282"},{"issue":"3","key":"10.3233\/JIFS-230161_ref15","doi-asserted-by":"crossref","first-page":"975","DOI":"10.1007\/s11276-017-1639-2","article-title":"Performance analysis of blackhole attack mitigation protocols under grayhole attacks in MANET","volume":"25","author":"Gurung","year":"2019","journal-title":"Wireless Networks"},{"key":"10.3233\/JIFS-230161_ref16","doi-asserted-by":"crossref","unstructured":"Zardari Z. 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