MARIKKANNAN M

@gcee.ac.in

Senior Assistant Professor, Computer Science and Engineering
Government College of Engineering, Erode

MARIKKANNAN M


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https://researchid.co/mmk.irtt

EDUCATION

B.E (Computer Engineering)
M.E (Computer Science & Engineering CEG campus Guindy, AU)
Ph.D (Computer Science & Engineering, CEG campus Guindy, AU)

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Engineering, Computer Networks and Communications, Computer Science Applications
16

Scopus Publications

94

Scholar Citations

5

Scholar h-index

4

Scholar i10-index

Scopus Publications

  • MelanomaNet: Deep Learning for Skin Cancer Diagnosis Through Inception V3
    Vaibhav C. Gandhi, T. Subraja, M. Marikkannan, P. S. Renisha, Raghav Sarmukaddam, Dhriti Trivedi
    Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering Lnicst, 2026
  • A secure multi phase authentication protocol for cloud infrastructure using elliptic curve cryptography
    R. Sivasankar, M. Marikkannan
    Scientific Reports, 2025
    The rapid growth of Cloud Infrastructure (CI) has enabled advancements across domains such as healthcare, finance, and industrial automation. However, sensitive data in CI remains is vulnerable to various threats such as replay attacks, man-in-the-middle attacks, impersonation, and credential theft, especially over public networks. To address these challenges in this paper, a Secure Multi-Phase Authentication Protocol for Cloud Infrastructure (SMPA-CI) based on Elliptic Curve Cryptography has been proposed. The proposed protocol incorporates four phases such as system initialization, user registration, login authentication, and secure password update, where each employs lightweight cryptographic techniques, including digital signatures, elliptic curve-based key exchange, and hash functions. Unlike conventional authentication schemes, SMPA-CI emphasizes mutual authentication, user anonymity, and resistance to prevalent attack vectors, while maintaining efficiency suitable for resource-constrained devices. Experimental results demonstrate that SMPA-CI reduces computational cost by up to 18%, lowers communication overhead by 15%, and decreases authentication latency compared to existing ECC-based schemes. These results highlight the novelty and practicality of SMPA-CI in achieving a secure, scalable, and performance-aware authentication framework for modern cloud infrastructures.
  • Confidence-Based Trustscoring System for Identification of Secure Agent Platforms
    Adri Jovin John Joseph, Marikkannu P, Marikkannan Mariappan
    Proceedings of the International Conference on Multi Agent Systems for Collaborative Intelligence Icmsci 2025, 2025
    Autonomous mobile agent systems can accomplish multiple tasks in an asynchronous and dynamic manner in platforms where there is excessive network load, network interruption and in slow networks. However, the decisions and execution depend on the platforms visited by the agents. Since the platforms may influence the decisions made by the agents, it is crucial that the trustable platforms are selected. Trust score is one parameter that helps mobile agents to select the appropriate platform. This work proposes a minor modification of the existing trust score calculation which has a significant impact on the safety and performance of mobile agent systems when deployed in a conventional distributed environment or in a modern cloud environment for completion of tasks. This work introduces a confidence-based approach for the five parameters namely persistence, competence, reputation, credibility, integrity which determine the trust score. This will provide a clear decision-making environment for the mobile agents to choose an appropriate platform.
  • Blockchain as a Controller of Security in Cyber-Physical Systems: A Watchdog for Industry 4.0
    Adri Jovin John Joseph, Marikkannan Mariappan, P Marikkannu
    AI Driven Iot Systems for Industry 4 0, 2024
    Cyber-physical systems (CPSs) are finding their role in integrating most of the physical systems into computing systems which can be controlled by computers. The growth of such systems has seamlessly offered control of physical systems, which has reduced most of the physical overheads and has contributed to single-point control and remote control over devices. Efforts to supplement the power of CPSs are made by integrating the capabilities of blockchains in them. CPSs and blockchains have various common attributes that help them bind together in many application areas. The integration of blockchains has not only contributed to the immutability of data handled by CPSs but also has contributed to the CPS security requirements. This chapter discusses multiple security issues associated with CPSs and the impact of blockchains over the achievement of security features in CPSs.
  • Approaches to overcome security risks and threats in online learning applications
    Adri Jovin John Joseph, Marikkannan Mariappan
    Secure Data Management for Online Learning Applications, 2023
    The COVID-19 pandemic affected educators and students on a very large scale globally. School education and higher education were affected drastically as educational institutions and universities were forced to close due to the global pandemic. It was because of online learning applications that education got back on track. Online learning happens through different modes, whether through massive open online courses, through virtual meeting platforms or open online learning platforms. The utilization of web and mobile learning applications has increased exponentially in recent years following the COVID pandemic. With the growth in the usage of online learning applications, the threat posed toward the end users of online learning applications has also increased in recent years. Most online learning applications are web applications. Therefore, online learning applications are susceptible to all types of security attacks as described by the Open Web Application Security Project (OWASP). Some commonly identified attacks on online learning platforms are: buffer overflow, eavesdropping of the network, guessing of user passwords, a replay of cookies, credential stealing, privilege promotion, unauthorized access, trapdoor mechanisms, spamming, tunnelling, a replay of sessions by outsiders, man-in-the-middle attack, HTTP manipulation, manipulation of cookies, SQL injection, cross-site scripting, and information disclosure among others. These are carried out viathe online learning platform and have a direct impact on the educator and learner. Service providers face a lot of threats. It is reported that most online learning service providers have faced distributed denial of service attacks in recent years. This has raised a major concern in the usage of online learning platforms specifically when the assessments are time-bound. Apart from these, phishing attacks have also increased in recent years, especially the imitation of online learning platforms of universities and major online learning platform providers. Many end users have been affected due to these attacks. This chapter presents a detailed review of the threats faced in the usage of online learning applications, the risk classification, and the impact on the end users. It also presents various possible approaches that can be followed to prevent and mitigate the risks of using online learning applications.
  • KERNEL WEIGHT DISTANCE INTUITIONISTIC FUZZY C-MEANS CLUSTERING (KWDIFCM) FOR SPARSE WIRELESS SENSOR NETWORKS (WSNS)
    Journal of Environmental Protection and Ecology, 2023
  • Investigations on Combinational Approach for Processing Remote Sensing Images Using Deep Learning Techniques
    Ramya T E, Marikkannan M
    International Journal of Engineering Trends and Technology, 2019
  • A novel trust-scoring system using trustability co-efficient of variation for identification of secure agent platforms
    Adri Jovin John Joseph, Marikkannan Mariappan
    Plos One, 2018
    Mobile Agent systems are prevalent in Distributed Environment due to the autonomy and adaptability in diversified situations. Mobile Agents are capable of movement from one platform to another and hence it is a need to ensure the safety of the Mobile Agent during the phase of transit. Since Mobile Agents are capable of deciding their itinerary dynamically, a decision support system which helps to ensure the trustworthiness of a platform would complement the decision. A Trust Scoring System is therefore proposed to measure the trustworthiness of a platform based on a metric termed Trust Score. Trust Score varies dynamically with respect to time and is based on a function comprising of five parameters namely Persistence, Competence, Reputation, Credibility and Integrity. In order to reduce the computational latency, another metric named Trust Rank for platforms, based on Trustability co-efficient of variation is introduced. The experimentation is done in cloud environment with platforms located at different geographic regions. The performance is evaluated in terms of response time and accuracy of decision. From the experimental results, it is evident that the Trust Ranking mechanism consumes less response time and improves the accuracy of decision of Mobile Agents during their itineraries, compared to that of the prototype system that uses Trust Score alone as a measure of decision-making.
  • A chaotic approach for secure data transfer using mobile agents
    J. J. Adri Jovin, M Marikkannan
    Journal of Computational and Theoretical Nanoscience, 2017
  • Modified gossiping routing protocol for energy conservation in wireless sensor networks
    Asian Journal of Information Technology, 2016
  • An attempt for content based matching on semantic web using relation map based algorithmic approaches
    Asian Journal of Information Technology, 2016
  • Artificial bee colony optimization for feature selection with furia in opinion mining
    Journal of Pure and Applied Microbiology, 2015
  • Improving the performance for relation based search engines in semantic web using onto search
    Information Japan, 2014
  • Artificial bee colony optimization for feature selection in opinion mining
    Journal of Theoretical and Applied Information Technology, 2014
  • An intelligent system for semantic information retrieval information from textual web documents
    Mukundan Karthik, Mariappan Marikkannan, Arputharaj Kannan
    Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2008
  • An intelligent query language for temporal databases
    A Kannan, T V Geetha, M Marikkannan
    IETE Journal of Research, 2001

RECENT SCHOLAR PUBLICATIONS

  • A secure multi phase authentication protocol for cloud infrastructure using elliptic curve cryptography
    R Sivasankar, M Marikkannan
    Scientific Reports 15 (1), 41205 , 2025
    2025
  • Confidence-Based Trustscoring System for Identification of Secure Agent Platforms
    AJJ Joseph, P Marikkannu, M Mariappan
    2025 International Conference on Multi-Agent Systems for Collaborative … , 2025
    2025
    Citations: 1
  • 19 Blockchain as
    AJJ Joseph, M Mariappan, P Marikkannu
    AI-Driven IoT Systems for Industry 4.0, 339 , 2024
    2024
  • Blockchain as a Controller of Security in Cyber-Physical Systems: A Watchdog for Industry 4.0
    AJJ Joseph, M Mariappan, P Marikkannu
    AI-Driven IoT Systems for Industry 4.0, 339-348 , 2024
    2024
    Citations: 1
  • MelanomaNet: Deep Learning for Skin Cancer Diagnosis Through Inception V3
    VC Gandhi, T Subraja, M Marikkannan, PS Renisha, R Sarmukaddam, ...
    EAI International Conference on Advanced Technologies in Electronics … , 2024
    2024
    Citations: 3
  • Approaches to overcome security risks and threats in online learning applications
    AJJ Joseph, M Mariappan
    Secure Data Management for Online Learning Applications, 49-70 , 2023
    2023
  • Investigations on Combinational Approach for Processing Remote Sensing Images Using Deep Learning Techniques
    TE Ramya, M Marikkannan
    International Journal of Engineering Trends and Technology 67 (8) , 2019
    2019
    Citations: 2
  • A novel trust-scoring system using trustability co-efficient of variation for identification of secure agent platforms
    AJ John Joseph, M Mariappan
    PloS one 13 (8), e0201600 , 2018
    2018
    Citations: 12
  • A Chaotic Approach for Secure Data Transfer Using Mobile Agents
    JJ Jovin, M Marikkannan
    Journal of Computational and Theoretical Nanoscience 14 (6), 2931-2936 , 2017
    2017
    Citations: 1
  • A Combinational Approach for Sarcasm Detection in Twitter
    K Karthika, M Gayathridevi, M Marikkannan
    International Journal of Science and Research 7 (7), 1040-1045 , 2017
    2017
    Citations: 4
  • Assuring Quality of Service for Packet Scheduling using Scattered Routing Scheme in Mobile Ad Hoc Networks
    B Vinodhini, M Marikkannan, S Karthik
    Asian Journal of Research in Social Sciences and Humanities 7 (3), 1006-1016 , 2017
    2017
  • Artificial Bee Colony Optimization For Feature Selection with FURIA in Opinion Mining
    MM T.Sumathi, S.Karthik
    Journal of Pure and Applied Microbiology 9, 17-23 , 2015
    2015
  • Efficient Clustering for Improving Network Performance in Wireless Sensor Networks
    DSK D.Prabakar, Dr.M.Marikkannan
    Australian Journal of Basic and Applied Sciences 8 (17), 232-238 , 2014
    2014
  • Devising Low-Cost Mobile Platforms in Wireless Sensor Networks Using Incremental Approach
    DSK D.Prabakar, Dr.M.Marikkannan
    Australian Journal of Basic and Applied Sciences 8 (17), 239-244 , 2014
    2014
  • Artificial Bee Colony Optimization For Feature Selection In Opinion Mining
    MM T.Sumathi, S.Karthik
    Journal of Theoretical and Applied Information Technology 66 (1), 368-379 , 2014
    2014
    Citations: 24
  • Improving attack detection & reading communication overhead for mobile adhoc networks
    DKS B.Lakshmi priya, Dr.T.Kalaikumaran, D.Prabakar, Dr.S.Karthik, Dr.M ...
    Journal of Basics & Applied Sciences 8 (13), 688-692 , 2014
    2014
  • Improving the Performance for Relation Based Search Engines in Semantic Web Using Onto Search
    SR Ranganathan, M Marikkannan, S Karthik
    Information: an international Interdisciplinary journal 17 (9), 4687-4694 , 2014
    2014
  • A Common Event Management Modeling Using Ontology in Pervasive Environments
    DSK S.Raja Ranganathan, Dr.M.Marikkannan
    Information - An International Interdisciplinary Journal 17 (9(B)), 3672– 3678 , 2014
    2014
  • A Novel Architecture For Relation Based Search Engines In Semantic Web Using Onto Search
    DSK S.Raja Ranganathan, Dr.M.Marikkannan
    CIENCA E TECHNICA – A Journal of Science and Technology 29 (6), 235-253 , 2014
    2014
  • An enhanced CEM modeling using Ontology in Pervasive Environments
    DSK S.Raja Ranganathan, Dr.M.Marikkannan
    Australian Journal of Basic and Applied Sciences 8 (16), 388-393 , 2014
    2014

MOST CITED SCHOLAR PUBLICATIONS

  • Artificial Bee Colony Optimization For Feature Selection In Opinion Mining
    MM T.Sumathi, S.Karthik
    Journal of Theoretical and Applied Information Technology 66 (1), 368-379 , 2014
    2014.0
    Citations: 24
  • A neuro-genetic based short-term forecasting framework for network intrusion prediction system
    SS Sivatha Sindhu, S Geetha, M Marikannan, A Kannan
    International Journal of Automation and Computing 6 (4), 406-414 , 2009
    2009.0
    Citations: 17
  • A novel trust-scoring system using trustability co-efficient of variation for identification of secure agent platforms
    AJ John Joseph, M Mariappan
    PloS one 13 (8), e0201600 , 2018
    2018.0
    Citations: 12
  • An intelligent system for semantic information retrieval information from textual web documents
    M Karthik, M Marikkannan, A Kannan
    International Workshop on Computational Forensics, 135-146 , 2008
    2008.0
    Citations: 12
  • Performance Analysis of Classification Methods for Opinion Mining
    MM T Sumathi, Karthik S
    International Journal of Innovations in Engineering and Technology (IJIET) 2 … , 2013
    2013.0
    Citations: 9
  • A Combinational Approach for Sarcasm Detection in Twitter
    K Karthika, M Gayathridevi, M Marikkannan
    International Journal of Science and Research 7 (7), 1040-1045 , 2017
    2017.0
    Citations: 4
  • MelanomaNet: Deep Learning for Skin Cancer Diagnosis Through Inception V3
    VC Gandhi, T Subraja, M Marikkannan, PS Renisha, R Sarmukaddam, ...
    EAI International Conference on Advanced Technologies in Electronics … , 2024
    2024.0
    Citations: 3
  • Various Security Threats and Issues in Wireless Networks: A Survey
    SK D.Prabakar, M. Marikkannan
    International Journal of Advanced Research in Computer Engineering … , 2012
    2012.0
    Citations: 3
  • Investigations on Combinational Approach for Processing Remote Sensing Images Using Deep Learning Techniques
    TE Ramya, M Marikkannan
    International Journal of Engineering Trends and Technology 67 (8) , 2019
    2019.0
    Citations: 2
  • An intelligent query language for temporal databases
    A Kannan, TV Geetha, M Marikkannan
    IETE Journal of Research 47 (1-2), 35-41 , 2001
    2001.0
    Citations: 2
  • Temporal Reasoning with Temporal Database Management System
    KAGTV Marikkannan M.
    Proceedings of International Conference on Cognitive System (ICCS’99), 717-727 , 1999
    1999.0
    Citations: 2
  • Confidence-Based Trustscoring System for Identification of Secure Agent Platforms
    AJJ Joseph, P Marikkannu, M Mariappan
    2025 International Conference on Multi-Agent Systems for Collaborative … , 2025
    2025.0
    Citations: 1
  • Blockchain as a Controller of Security in Cyber-Physical Systems: A Watchdog for Industry 4.0
    AJJ Joseph, M Mariappan, P Marikkannu
    AI-Driven IoT Systems for Industry 4.0, 339-348 , 2024
    2024.0
    Citations: 1
  • A Chaotic Approach for Secure Data Transfer Using Mobile Agents
    JJ Jovin, M Marikkannan
    Journal of Computational and Theoretical Nanoscience 14 (6), 2931-2936 , 2017
    2017.0
    Citations: 1
  • An Insider Attacks Immune Mobile Agent System using Context and Insider Aware Policy Language
    JJA Jovin, M Marikkannan
    International Journal of Computer Networks and Wireless Communications 2 (3 … , 0
    Citations: 1
  • A secure multi phase authentication protocol for cloud infrastructure using elliptic curve cryptography
    R Sivasankar, M Marikkannan
    Scientific Reports 15 (1), 41205 , 2025
    2025.0
  • 19 Blockchain as
    AJJ Joseph, M Mariappan, P Marikkannu
    AI-Driven IoT Systems for Industry 4.0, 339 , 2024
    2024.0
  • Approaches to overcome security risks and threats in online learning applications
    AJJ Joseph, M Mariappan
    Secure Data Management for Online Learning Applications, 49-70 , 2023
    2023.0
  • Assuring Quality of Service for Packet Scheduling using Scattered Routing Scheme in Mobile Ad Hoc Networks
    B Vinodhini, M Marikkannan, S Karthik
    Asian Journal of Research in Social Sciences and Humanities 7 (3), 1006-1016 , 2017
    2017.0
  • Artificial Bee Colony Optimization For Feature Selection with FURIA in Opinion Mining
    MM T.Sumathi, S.Karthik
    Journal of Pure and Applied Microbiology 9, 17-23 , 2015
    2015.0