1. Gunasekaran M, Amitabh Wahi, Mohamad Imtiaz N, ‘Movie Review Sentiment Analysis Based on Accuracy using Supervised Machine Learning Techniques’, Journal of Interconnection Networks. (Under Review) 

2. Gunasekaran M & Prakash V S, 2021, ‘L2b: Lexicon Boosted Bayesian Classification for Popularity Prediction of Movies with Improved Accuracy using Twitter Corpus’, vol. 12, no. 7, pp. 1669-1675, April 2021.

3. V. S. Prakash & M Gunasekaran, 2021, ‘Enhanced with Disrupted Data by Choosing Features’, Turkish Journal of Computer and Mathematics Education, vol. 12, no. 7, pp. 1659-1668, April 2021.

4. P. Purusothaman & M. Gunasekaran, 2021, ‘Adaptive Neural Network with Hybrid Optimization Oriented Localization in Wireless Sensor Network: A Multi Objective Model’, International Journal of Wavelets, Multiresolution and Information Processing, vol. 19, no. 1, January 2021. (Impact Factor: 0.463) – Scopus

5. Gunasekaran Muthumanickam & Prakash V S, 2020, “Impact of Augmented Reality Applications on Fashion Industries”, Journal of Xi’an Shiyou University, Natural Science Edition, vol. 16, no. 11, pp. 82-85, November 2020. (Impact Factor: 0.29) – Scopus 

6. Sathishkumar P and Gunasekaran M, 2020, "An Improved Vertical Fragmentation, Allocation and Replication for Enhancing E-Learning in Distributed Database Environment", Computational Intelligence, Wiley, August 2020. (Impact Factor: 0.704) - Scopus 

7. Gunasekaran M, Gopalakrishnan B, 2020, “Quantum Key Distribution Based- on Refraction and Polarization Entanglement”, International Journal of Recent Technology and Engineering, vol. 8, no. 6, pp. 2911-2918, March 2020.

8. Priyadharshini K S, Gunasekaran M, 2020,” Energy Efficient Multipath Routing for Wireless Sensor Networks”, International Journal of Scientific and Technology Research, vol. 9, no. 2, pp. 2325-2329, February 2020. (Scopus)

9. Priya J and Gunasekaran M, 2020, “SSW: Smart Steering Wheel for Real – Time Heart Rate Monitoring of Drivers”, International Journal of Innovative Technology and Exploring Engineering”, vol. 9, no. 4, pp. 3040-3043, February 2020.

10. Prasanth T, Gunasekaran M, 2019, ‘Effective Big Data Retrieval Using Deep Learning Modified Neural Networks’, Mobile Networks and Applications, Springer, vol. 2019, no. 24, pp. 282-294, January 2019. (Impact Factor: 2.497) - SCI Indexed

11. Gunasekaran M, Gopalakrishnan B, Manikandan M, 2018, ‘EMDAI: An Emergency Message Diffusion for Accident Information in Vehicular Ad Hoc Networks’, International Journal of Recent Technology and Engineering, vol. 7, no. 4, pp. 187-197, November 2018. (Scopus)

12. S. Naveena, M. Gunasekaran, 2018, “Deep Learning for Pre-matured Divination of Diabetes”, Journal of Computational and Theoretical Nanoscience, vol. 15, no. 5, pp. 1739-1742, October 2018. (Scopus)

13. Prasanth T, Gunasekaran M, 2017, ‘A Mutual Refinement Technique for Big Data Retrieval using Hash Tag Graph’, Cluster Computing, Springer, vol. 2017, no. 22, pp. 2027-2037, August 2017. (Impact Factor: 2.040) – SCI Indexed

14. Gopalakrishnan B, Gunasekaran M, Purusothaman P, 2017, ‘Intra Group Key Management Scheme for Secure Data Exchange in Mobile Ad-Hoc Networks’, International Journal of Recent Engineering Research and Development, vol. 2, no. 9, pp. 40-46, September 2017.

15. Gunasekaran M, Sathishkumar P, 2017 ‘A Study on Big Data Integration with Enduring Computational Technologies in Transition towards Smart Learning Framework’, International Journal of Innovation and Advancement in Computer Science, vol. 6, no. 7, pp. 156-160.

16. Gunasekaran, M & Gopalakrishnan B, 2016, ‘STARP: Secured Trusted Anonymity-Based Routing Protocol in Mobile Ad Hoc Networks for Internet of Things’, Journal of Information Technology and Sciences, vol. 2, no.3, pp. 1- 10.

17. Gunasekaran, M & Gopalakrishnan B, 2016, ‘Privacy-Preserving Secure On- Demand Routing Protocol for Adversarial Environments’, Asian Journal of Research in Social Sciences and Humanities, vol. 6, no.11, pp. 218-236, November 2016.

18. Ramkumar S & Gunasekaran, M 2016, ‘Secure Communication using Elliptic Curve Cryptography on Android Devices’, South Asian Journal of Engineering and Technology, vol. 2, no.20, pp. 11-13.

19. Gunasekaran, M & Premalatha, K 2014, ‘An Anonymity-Based Secure On- Demand Routing for Mobile Ad Hoc Networks’, International Journal of Computer, Information Science and Engineering, World Academy of Science, Engineering and Technology, vol. 8, no.1, pp. 94-103.

20. Gunasekaran, M & Premalatha, K 2013, ‘TEAP: Trust Enhanced Anonymous On-Demand Routing Protocol for Mobile Ad Hoc Networks’, IET Information Security, vol. 7, no. 3, pp. 203-211. (Impact Factor: 1.037) – SCI Indexed

21. Gunasekaran, M & Premalatha, K 2013, ‘SPAWN: A Secure Privacy- Preserving Architecture in Wireless Mobile Ad Hoc Networks’, EURASIP Journal on Wireless Communication and Networking, Springer Open Journal, vol. 2013, no. 1, pp. 1-12. (Impact Factor: 1.529) – SCI Indexed

22. Gunasekaran, M & Premalatha, K 2013, ‘POR: Privacy-Preserving On- Demand Routing Scheme to Mitigate Malicious Nodes in Mobile Ad Hoc Networks’, International Journal of Computer Applications, vol. 82, no. 10, pp. 42-48. (Impact Factor: 0.821)

23. M. Gunasekaran, K. Premalatha and B. Gopalakrishnan, “A Survey on DoS Attacks and Countermeasures in Mobile Ad Hoc Networks”, International Journal of Advanced Research in Computer Science, vol. 1, no. 4, pp. 156- 164, Nov- Dec 2010.

24. M. Gunasekaran, P. Sampath and B. Gopalakrishnan, “AAS: An Authenticated Acknowledgement-Based Scheme for Preventing Selfish Nodes in Mobile Ad Hoc Networks”, International Journal of Recent Trends in Engineering (Computer Science), vol.1, no.1, pp. 294-298, July 2009.

1. Ganesan, R., Devi, T., Kumar, S.R., Gayathri, N., Securing Healthcare Information Using Blockchain Technology: A Deep Insight, EAI/Springer Innovations in Communication and Computing, 2022, pp. 253–263

2. Deepa, N., Devi, T., Gayathri, N., Kumar, S.R., Decentralized Healthcare Management System Using Blockchain to Secure Sensitive Medical Data for Users, EAI/Springer Innovations in Communication and Computing, 2022, pp. 265–282

3. Logu, K., Devi, T., Deepa, N., Gayathri, N., Rakesh kumar, S., A Real-Time Monitoring Tool for Analyzing Ethereum Digital Currency in Global Business Transaction, EAI/Springer Innovations in Communication and Computing, 2022, pp. 167–188

4. Devi, T., Ramachandran, A., Deepa, N., A Biometric Approach for Electronic Healthcare Database System using SAML - A Touchfree Technology, Proceedings of the 2nd International Conference on Electronics and Sustainable Communication Systems, ICESC 2021, 2021, pp. 174–178

5. Deepa, N., Priya, J.S., Devi, T., A Behavioral Biometric system for Recognition and Authenticity via Internet in detecting attacks to provide Information Security Using multiple security interceptive biometric scanners (MSIBS), Proceedings of the 2nd International Conference on Electronics and Sustainable Communication Systems, ICESC 2021, 2021, pp. 911–915

6. Deepa, N., Devi, T., E-TLCNN classification using densenet on various features of hypertensive retinopathy (HR) for predicting the accuracy, Proceedings - 5th International Conference on Intelligent Computing and Control Systems, ICICCS 2021, 2021, pp. 1648–1652, 9432255

7. Devi, T., Deepa, N., A novel intervention method for aspect-based emotion Using Exponential Linear Unit (ELU) activation function in a Deep Neural Network, Proceedings - 5th International Conference on Intelligent Computing and Control Systems, ICICCS 2021, 2021, pp. 1671–1675, 9432223

8. Devi, T., Deepa, N.,Predicting the sales of cars using random forest algorithm, Turkish Journal of Physiotherapy and Rehabilitation, 2021, 32(2), pp. 1361–1364

9. Deepa, N., Devi, T., Prediction of short text in weblogs for accurate classification using IOHE a machine learning technique, Turkish Journal of Physiotherapy and Rehabilitation, 2021, 32(2), pp. 1320–1323

10. Ganesh, R.S., Devi, T., Prediction based on social media dataset using CNN-LSTM to classify the accurate Aggression level, 2021 International Conference on Computer Communication and Informatics, ICCCI 2021, 2021, 2021-January, 9457008.

1. Deepa, N., Devi, T., Gayathri, N., Kumar, S.R., Decentralized Healthcare Management System Using Blockchain to Secure Sensitive Medical Data for Users, EAI/Springer Innovations in Communication and Computing, 2022, pp. 265–282

2. Logu, K., Devi, T., Deepa, N., Gayathri, N., Rakesh kumar, S., A Real-Time Monitoring Tool for Analyzing Ethereum Digital Currency in Global Business Transaction, EAI/Springer Innovations in Communication and Computing, 2022, pp. 167–188

3. Devi, T., Ramachandran, A., Deepa, N., A Biometric Approach for Electronic Healthcare Database System using SAML - A Touchfree Technology, Proceedings of the 2nd International Conference on Electronics and Sustainable Communication Systems, ICESC 2021, 2021, pp. 174–178

4. Deepa, N., Priya, J.S., Devi, T., A Behavioral Biometric system for Recognition and Authenticity via Internet in detecting attacks to provide Information Security Using multiple security interceptive biometric scanners (MSIBS), Proceedings of the 2nd International Conference on Electronics and Sustainable Communication Systems, ICESC 2021, 2021, pp. 911–915

5. Deepa, N., Devi, T., E-TLCNN classification using densenet on various features of hypertensive retinopathy (HR) for predicting the accuracy, Proceedings - 5th International Conference on Intelligent Computing and Control Systems, ICICCS 2021, 2021, pp. 1648–1652, 9432255

6. Devi, T., Deepa, N., A novel intervention method for aspect-based emotion Using Exponential Linear Unit (ELU) activation function in a Deep Neural Network, Proceedings - 5th International Conference on Intelligent Computing and Control Systems, ICICCS 2021, 2021, pp. 1671–1675, 9432223

7. Devi, T., Deepa, N., Predicting the sales of cars using random forest algorithm, Turkish Journal of Physiotherapy and Rehabilitation, 2021, 32(2), pp. 1361–1364

8. Deepa, N., Devi, T., Prediction of short text in weblogs for accurate classification using IOHE a machine learning technique, Turkish Journal of Physiotherapy and Rehabilitation, 2021, 32(2), pp. 1320–1323

9. Saitulasi, K., Deepa, N., Deep belief network and sentimental analysis for extracting on multi-variable features to predict stock market performance and accuracy, 2021 International Conference on Computer Communication and Informatics, ICCCI 2021, 2021, 2021-January, 9456999

1.  Hierarchical Random Forest Formation with Nonlinear Regression Model for Cardiovascular Diseases Prediction (SCOPUS-2021)

2.  Role of attribute selection on tuning the learning performance of parkinson’s data using various intelligent classifiers (SCOPUS-2021)

3.  Client-Controlled HECC-as-a-Service (HaaS) in Lecture Notes on Data Engineering and Communications Technologies (SCOPUS-2020)

4. Blockchain-Based Decentralized Applications in Secure Transaction using Digital Trust Signature in Test Engineering and Management (SCOPUS- 2019)

5.  Electroencephalogram pathology detection using deep learning in Test Engineering and Management (SCOPUS-2019)

6.  Mitigating ransomware attacks in International Journal of Innovative Technology and Exploring Engineering (SCOPUS-2019)

7.  Multi-view scaling manual vector machines for kind and characteristic Selection in Test Engineering and Management (SCOPUS-2019)

8.  Real time Brian tumor detection using deep reinforcement learning algorithm in Test Engineering and Management (SCOPUS-2019)

9.  Analyzing junk mail & blocking using neural network with multi-filters in Test Engineering and Management (2020)

10. Data safeguarding in cloud in AES using in Heroku Cloud in Test Engineering and Management (2020)

11. Data security for cloud mechanisms and identity using cloud authority in Test Engineering and Management (2020)

12. Fast Detection of Transformed Data Leaks on Mail Server Using Levenstein-Distance Techniques in International Journal of Research in Computer Science (2019)

13. Facsimile Categorization and Juncture Ratio for Web Portal in International Journal for Scientific Research & Development (2019).

14. Reroute Packets to the Nearest Node Using Floyd`s Algorithm in International Journal of Research in Engineering & Advanced Technology (2019).

15. Detection of Isolation Attack in OLSR on Manet in International Journal of Engineering Science & Computing (2019).

16. Neighborhood wise Broadcast Accept Framework in International Journal of Research & Technology (2019).

1.   A Real-Time Monitoring Tool for Analyzing Ethereum Digital Currency in Global Business Transaction Logu, K., Devi, T., Deepa, N., Gayathri, N., Rakesh kumar, S.EAI/Springer Innovations in Communication and Computing, 2022, pp. 167–188.

2.   Hospital appointment prediction using classification of big data Adi Narayana, G., Stewart Kirubakaran, K., Logu, K. Test Engineering and Management,   2019, 81(11-12), pp. 5439–5442.

3.   Blockchain-Based Decentralized Applications in Secure Transaction using Digital Trust Signature Berlin Sujo, K., Logu, K., Jaisharma, K. Test                    Engineering and Management, 2019, 81(11-12), pp. 5592–5599.

4.   Auditing and compilations sharing with sensitive information bidding for secured cloud storage Sasank, P., Logu, K. Test Engineering and Management,     2019, 81(11-12), pp. 5566–5570

5.   Massive random access in automobile-to-automobile communications using honey-bee algorithm Logu, K., Vani, B. International Journal of Engineering    and Advanced Technology, 2019, 9(1), pp. 7063–7068

6.   Server to client communication for web usage using knowledge mining Anvesh, K.N., Subramanian, E.K., Logu, K. Test Engineering and Management,     2019, 81(11-12), pp. 5423–5428

1.   Bharatha Devi. N, Celine Kavida. A & Murugan. R 2021, ‘Feature Extraction and Object Detection using FAST Convolutional Neural Network for Remote sensing Satellite image’, Journal of the Indian Society of Remote Sensing (Under Review)

2.   Bharatha Devi. N & Celine Kavida. A 2020,‘Pre-processing on Remotely sensed data with Unsupervised Classification Analysis’, Journal of Ambient Intelligence and Humanized Computing, ISSN 1868-5137, https://doi.org/10.1007/s12652- 020-02317-z (Impact Factor : 4.59 )

3.  Bharatha Devi. N & Celine Kavida. A 2019, ‘An Efficient Framework for Object Detection and Classification based on BOW and Unsupervised Classification Models’, Journal of Electrical Engineering, ISSN 1582-4594 (Impact Factor : 0.26 )