W R SALEM JEYASEELAN

@psnacet.edu.in

Assistant Professor and Information Technology
PSNA College of Engineering and Technology

W R SALEM JEYASEELAN


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https://researchid.co/salemjeyam81

RESEARCH INTERESTS

Mobile ADHOC Networks,
Wireless Communication,
IoT
12

Scopus Publications

72

Scholar Citations

5

Scholar h-index

3

Scholar i10-index

Scopus Publications

  • Data Mining, Machine Learning, and Statistical Modeling for Predictive Analytics with Behavioral Big Data
    Tehnicki Vjesnik, 2025
  • Improved Grey Wolf Optimization Based Node Localization Approach in Underwater Wireless Sensor Networks
    WR Salem Jeyaseelan, T Jayasankar, K Vinoth Kumar, R Ponni
    Measurement Science Review, 2024
    Underwater Wireless Sensor Networks (UWSNs) are established by Autonomous Underwater Vehicles (AUVs) or static Sensor Nodes (SN) that collect and transmit information over the underwater environment. Localization plays a vital role in the effective deployment, navigation and coordination of these nodes for many applications, namely underwater surveillance, underwater exploration, oceanographic data collection and environmental monitoring. Due to the unique characteristics of underwater transmission and acquisition, this is a fundamental challenge in underwater networks. However, localization in UWSNs is problematic due to the unique features of underwater transmission and the harsh underwater environment. To address these challenges, this paper presents an Improved Grey Wolf Optimization Based Node Localization Approach in UWSN (IGWONL-UWSN) technique. The presented IGWONL-UWSN technique is inspired by the hunting behavior of grey wolves with the Dimension Learning-based Hunting (DLH) search process. The proposed IGWONL-UWSN technique uses the Improved Grey Wolf Optimization Based (IGWO) algorithm to calculate the optimal location of the nodes in the UWSN. Moreover, the IGWONL-UWSN technique incorporates the DLH search process to improve the convergence and accuracy. The simulation results of the IGWONL-UWSN technique are validated using a set of performance measures. The simulation results show the improvements of the IGWONL-UWSN method over other approaches with respect to various metrics.
  • Detecting and Mitigating Low-Rate DoS and DDoS Attacks: Multimodal Fusion of Time-Frequency Analysis and Deep Learning model
    Thangavel Yuvaraja, Winston Gnanathika Rajan, Salem Jeyaseelan, Rengasamy Ashokkumar, Magudeeswaran Premkumar, et al.
    Tehnicki Vjesnik, 2024
    : This paper outlines a method for identifying and counteracting distributed denial of service (DDoS) and low-rate denial of service (DoS) attacks. These impair significant threats to network security and can disrupt the accessibility and efficacy of systems under attack. The proposed method combines Time-Frequency Analysis (TFA) using Short-Time Fourier Transform (STFT) and a Deep Learning model (DLM), namely Recurrent Neural Network (RNN), to enhance network security. By leveraging the strengths of STFT and RNN, the approach achieves improved detection capabilities and enables timely response and effective mitigation. The CICDDoS2019 dataset has been employed to conduct the evaluation, which provides a diverse set of realistic attack traffic scenarios. The results show that the proposed approach is effective, with an impressive accuracy rate of 99.1%. Compared to traditional methods, the integrated achieves higher accuracy and lower false positive rates. This research highlights the potential of Multimodal Fusion method, for addressing the growing need for advanced defense mechanisms in today's evolving threat landscape.
  • Support Vector Machine Classification using Proximity Authentication and Surveillance System in IoT Industrial Network
    Tehnicki Vjesnik, 2024
  • QoS based Adaptive Multi-Constrained Energy Efficient Routing for Vehicular Ad hoc Networks
    Tehnicki Vjesnik, 2024
  • Efficient Intelligent Smart Ambulance Transportation System using Internet of Things
    Tehnicki Vjesnik, 2024
  • Dynamic data delivery and terrific transfer in wireless sensor networks
    R. J. Kavitha, W. R. Salem Jeyaseelan
    Applied Mathematics and Information Sciences, 2018
    Load Balanced Clustering (LBC) framework is a innovative te chniques that enhance energy efficiency to extend the networ k lifetime. Clustering is an effective topology manipulate a roach in wireless sensor networks, which can explosion netw ork scalability and lifetime. A load balanced clustering algorithm is propo sed for sensors to self-arrange themselves into clusters.c ell divider is used for split the statistics aroximately cluster and cluster he ad calculation.. The results show that LBC can significantly reduce energy consumptions by assuaging routing techniques on nodes and b alancing workload among cluster heads, which achieves 20 pe rcent less facts series time in comparison to SISO cell data accumulati ng and over 60 percentage energy saving on cluster heads. It a lso justified the packet overhead and explored the consequences with diff erent numbers of cluster heads within the cluster. The main m otivation is to utilize disbursed clustering for scalability, to aoint mob ility for energy saving and uniform energy consumption, and to take advantage of a couple of-input and more than one-output MIMO (Multiple Input and Multiple Output) method for concurrent statistic importing to shorten latency.
  • Detection, prevention and mitigation of wormhole attack in wireless adhoc network by coordinator
    R. Arun Prakash, W. R. Salem Jeyaseelan, T. Jayasankar
    Applied Mathematics and Information Sciences, 2018
  • Comparative study on MANET routing protocols
    Asian Journal of Information Technology, 2016
  • Malware detection and elimination using bayesian technique and Nymble algorithm
    W. R. Salem Jeyaseelan, S. Hariharan
    Indian Journal of Science and Technology, 2015
    Background/Objectives: DTN becomes popular because of its ability to cope with the problems in traditional infrastructural model. Like other kinds of network it is also subjected to malware attacks. Methods/Statistical Analysis: Pattern matching technique is so far used. But that is not secure in DTN as there is changing network topology. In this paper, a novel malware processing technique is proposed which uses Bayesian technique and Nymble algorithm. Bayesian technique is used to fabricate a secure DTN and Nymble algorithm helps in removing malware. Findings: Bayesian technique is used in non DTN techniques for malware processing. While using Bayesian techniques to generate a secure DTN without false positive, active attacks, passive attacks, false negative, effect of liars, effect of malware affected nodes, inadequate evidence and malware spreading. All the challenges are addressed using dogmatic filtering, adaptive look ahead, cut off strategy techniques. Nymble algorithm enhances the security of DTN. It provides ambiguity, rate limiting, subjective blacklisting and non-frame ability. Application/Improvements: The proposed techniques are used to identify any abnormal behavior of the nodes and complaints will be posted. Only authenticated users can post complaints. In addition to this, it provides cryptographic security to the users. The non-legitimate nodes in the network will be blocked and displayed. This improves the QoS of the DTN.
  • Secure multicast transmission
    W. R. Salem Jeyaseelan, Shanmugasundaram Hariharan
    2013 4th International Conference on Computing Communications and Networking Technologies Icccnt 2013, 2013
  • Enhanced route discovery in Mobile Adhoc Networks
    S. A. V. Ali, W. R. Salem Jeyaseelan, S. Hariharan
    2012 3rd International Conference on Computing Communication and Networking Technologies Icccnt 2012, 2012

RECENT SCHOLAR PUBLICATIONS

  • Improved Grey Wolf Optimization Based Node Localization Approach in Underwater Wireless Sensor Networks
    WRS Jeyaseelan, KV Kumar, T Jayasankar, R Ponni
    Measurement Science Review 24 (3), 95-99 , 2024
    2024.0
    Citations: 8
  • THE NOVEL APPROACH FOR AUTOMATIC FACIAL MASK RECOGNITION FOR VISITORS AND EMPLOYEE IN AN ORGANIZATION TO PROVIDE FACE MASK
    RS GANITHA AARTHI N, Dr. W. R. SALEM JEYASEELAN, P. DINESH KUMAR
    The Saybold Report 17 (11), 2018 -2024 , 2022
    2022.0
  • HYBRID ENCRYPTION FRAMEWORK FOR SECURING BIG DATA STORAGE IN MULTI-CLOUD ENVIRONMENT
    DRWRS NANDHAKUMAR M
    International Journal for Science and Advance Research in Technology (IJSART … , 2022
    2022.0
  • Detection, prevention and mitigation of wormhole attack in wireless adhoc network by coordinator
    RA Prakash, WRS Jeyaseelan, T Jayasankar
    Appl. Math 12 (1), 233-237 , 2018
    2018.0
    Citations: 26
  • Dynamic Data Delivery and Terrific Transfer in Wireless Sensor Networks
    RJ Kavitha, WRS Jeyaseelan
    Appl. Math 12 (3), 529-535 , 2018
    2018.0
  • Comparative study on MANET routing protocols [J]
    WRS Jeyaseelan, S Hariharan
    Asian Journal of Information Technology, 1411-1415 , 2016
    2016.0
    Citations: 4
  • Malware detection and elimination using Bayesian technique and nymble algorithm
    WRS Jeyaseelan, S Hariharan
    Indian Journal of Science and Technology 8 (34), 1-7 , 2015
    2015.0
    Citations: 2
  • Secure multicast transmission
    WRS Jeyaseelan, S Hariharan
    2013 Fourth International Conference on Computing, Communications and … , 2013
    2013.0
  • Enhanced Route Discovery in Mobile Adhoc Networks
    SAV Ali, WRS Jeyaseelan, S Hariharan
    2012 Third International Conference on Computing, Communication and … , 2012
    2012.0
    Citations: 15
  • Study on Congestion Aovidance in MANET
    WRS Jeyaseelan, S Hariharan
    IJCA Special Issue on “Network Security and Cryptography”, NSC , 2011
    2011.0
    Citations: 5
  • Study on Congestion Avoidance in MANET
    WRSJ Shanmugasundaram Hariharan.
    IJCA 5 (2), 7-10 , 2011
    2011.0
  • Investigation on routing protocols in MANET
    WRS Jeyaseelan, S Hariharan
    International Journal of Research and Reviews in Information Sciences … , 2011
    2011.0
    Citations: 12
  • A New Way to Protect Video Steganography Method Based on Discrete Wavelet Transform and Multiple Object Tracking
    K Oviya, NG Aarthi, WRS Jeyaseelan
    Special Issue in Communication and Information Technology, 85 , 0
  • A Multi Model Approach for Video Data Steganography with Avoiding Jellyfish Delay Variance Attack
    WRS Jeyaseelan, K Oviya, NG Aarthi
    Special Issue in Communication and Information Technology, 80 , 0
  • Enhanced RSA Encrypted AODV Routing Protocol for MANET
    WRS Jeyaseelan, R Madhumitha, D Yuvaraj
    Special Issue in Communication and Information Technology, 91 , 0
  • Chaotic Encryption for Fingerprint Authentication
    NG Aarthi, WRS Jeyaseelan, K Oviya
    Special Issue in Communication and Information Technology, 70 , 0
  • BEHAVIOR BASED MALWARE PROCESSING IN DTN USING BAYESIAN MODEL
    K Dhivya, WRS Jeyaseelan

MOST CITED SCHOLAR PUBLICATIONS

  • Detection, prevention and mitigation of wormhole attack in wireless adhoc network by coordinator
    RA Prakash, WRS Jeyaseelan, T Jayasankar
    Appl. Math 12 (1), 233-237 , 2018
    2018.0
    Citations: 26
  • Enhanced Route Discovery in Mobile Adhoc Networks
    SAV Ali, WRS Jeyaseelan, S Hariharan
    2012 Third International Conference on Computing, Communication and … , 2012
    2012.0
    Citations: 15
  • Investigation on routing protocols in MANET
    WRS Jeyaseelan, S Hariharan
    International Journal of Research and Reviews in Information Sciences … , 2011
    2011.0
    Citations: 12
  • Improved Grey Wolf Optimization Based Node Localization Approach in Underwater Wireless Sensor Networks
    WRS Jeyaseelan, KV Kumar, T Jayasankar, R Ponni
    Measurement Science Review 24 (3), 95-99 , 2024
    2024.0
    Citations: 8
  • Study on Congestion Aovidance in MANET
    WRS Jeyaseelan, S Hariharan
    IJCA Special Issue on “Network Security and Cryptography”, NSC , 2011
    2011.0
    Citations: 5
  • Comparative study on MANET routing protocols [J]
    WRS Jeyaseelan, S Hariharan
    Asian Journal of Information Technology, 1411-1415 , 2016
    2016.0
    Citations: 4
  • Malware detection and elimination using Bayesian technique and nymble algorithm
    WRS Jeyaseelan, S Hariharan
    Indian Journal of Science and Technology 8 (34), 1-7 , 2015
    2015.0
    Citations: 2
  • THE NOVEL APPROACH FOR AUTOMATIC FACIAL MASK RECOGNITION FOR VISITORS AND EMPLOYEE IN AN ORGANIZATION TO PROVIDE FACE MASK
    RS GANITHA AARTHI N, Dr. W. R. SALEM JEYASEELAN, P. DINESH KUMAR
    The Saybold Report 17 (11), 2018 -2024 , 2022
    2022.0
  • HYBRID ENCRYPTION FRAMEWORK FOR SECURING BIG DATA STORAGE IN MULTI-CLOUD ENVIRONMENT
    DRWRS NANDHAKUMAR M
    International Journal for Science and Advance Research in Technology (IJSART … , 2022
    2022.0
  • Dynamic Data Delivery and Terrific Transfer in Wireless Sensor Networks
    RJ Kavitha, WRS Jeyaseelan
    Appl. Math 12 (3), 529-535 , 2018
    2018.0
  • Secure multicast transmission
    WRS Jeyaseelan, S Hariharan
    2013 Fourth International Conference on Computing, Communications and … , 2013
    2013.0
  • Study on Congestion Avoidance in MANET
    WRSJ Shanmugasundaram Hariharan.
    IJCA 5 (2), 7-10 , 2011
    2011.0
  • A New Way to Protect Video Steganography Method Based on Discrete Wavelet Transform and Multiple Object Tracking
    K Oviya, NG Aarthi, WRS Jeyaseelan
    Special Issue in Communication and Information Technology, 85 , 0
  • A Multi Model Approach for Video Data Steganography with Avoiding Jellyfish Delay Variance Attack
    WRS Jeyaseelan, K Oviya, NG Aarthi
    Special Issue in Communication and Information Technology, 80 , 0
  • Enhanced RSA Encrypted AODV Routing Protocol for MANET
    WRS Jeyaseelan, R Madhumitha, D Yuvaraj
    Special Issue in Communication and Information Technology, 91 , 0
  • Chaotic Encryption for Fingerprint Authentication
    NG Aarthi, WRS Jeyaseelan, K Oviya
    Special Issue in Communication and Information Technology, 70 , 0
  • BEHAVIOR BASED MALWARE PROCESSING IN DTN USING BAYESIAN MODEL
    K Dhivya, WRS Jeyaseelan