Profile

International / National Journals:6

1. Manjula Gandhi S, Chaitrali Mulay, Karthiganesh Durai, G. Murali, Jafar Ali Ibrahim Syed Masood, V. Vijayarajan, Kumar Gautam, N. S. Kalyan Chakravarthy, S. Suresh Kumar, Saurabh Agarwal, Murali S, Vijayasherly V, David Asirvatham, Sarfraz Brohi, Chandru Vignesh C, Anbuchelian S, "Quantum blockchain: Trends, technologies, and future directions", the Author(s) IET Quantum Communication published by John Wiley & Sons (2024).



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2. A.Chandrasekar, "Load Balanced Energy Efficient Data Aggregation Technique For Wireless Sensor Network", Sensor Letters,, published by American Scientific Publishers. Vol. 14, Issue 12, pp. 1222 - 1226 (2016).



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3. S.Anbuchelian, "Hybrid Trusted Recovery Detector (HTRD) Detecting Blackholes in MANETS—A Mathematical Analysi", Journal of Computational and Theoretical Nanoscience, published by American Scientific Publishers. Vol. 13, pp. 5569-5575 (2016).



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4. C.M.Sowmya, "Stability based Clustering Technique for Increasing Network Lifetime of WSN in Healthcare Monitoring Systems", International Journal Of Printing Packaging and allied Science, Vol. 4, Issue 4, pp. 21-28 (2016).



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5. "Feature extraction using CMM for sentiment analysis", International Journal Of Advance Intelligence Paradigms., Vol. 8, Issue 1, (2017).



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6. CM Sowmya, "A delay tolerant routing using cuckoo search for health care management using wireless sensor network", Research Journal of Biotechnology, published by Research Journal of Biotechnology. pp. 1-5 (2017).



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7. Kumar.D, Kumar.A, Aravindhan M, Kousik N.G.V, Anbuchelian S,"Estimation of Human Posture Using Convolutional Neural Network Using web Architecture". pp.233-247



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8. Anbuchelian S, Sowmya CM, Ramesh C, " Efficient and secure auditing scheme for privacy preserving data storage in cloud",pp.9767-9775



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9. Madhusudhanan B, Chitra S, Anbuchelian S,"Feature extraction using CMIM for sentiment analysis",pp.368-381



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10. Anbuchelian S, Sowmya CM,"A delay Tolerant routing using cuckoo search for health care management using wireless sensor network",pp1-7



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11. Anbuchelian S, Sekar AC, "Load balanced energy efficient data aggregation techniquefor wireless sensor network",pp.1222-1226

International / National Programmes:7

1. Anbuchelian S, Aishwarya V, Ragupathi M (2024),"Proactive Security: Integrated Surveillance and Intrusion Detection" presented in National Level Conference on April 16,2024 – Sri Venkateswara College of Engineering, Chennai, pp.79-82



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2. "An energy efficient multipath routing scheme by preventing threats in wireless sensor networks" presented in a International level conference on International Multi-Conferences 2013, Thailand from 19-Jan-2013 to 20-Jan-2013.



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3. S. Anbuchelian, K. Selvamani, A. Chandrasekar, "Detection of sneak attacks and discovery of malicious node in wireless ad-hoc networks" presented in a International level conference on CCICE, Canada from 19-May-2014 to 20-May-2014.



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4. S.Anbuchelian and A.Chandrasekar, on An Load balanced energy efficient data aggregation technique for wireless sensor network, organised by Vivekanadha College of engineering for women, India from 11-Mar-2015 to 12-Mar-2015.



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5. "An wxponential cuckoo search for energy efficient clustering in wereless sensor network" presented in a International level conference on ICOCOE2015, organised by UTM, Malaysia, Phuket, Thailand from 09-Jun-2015 to 11-Jun-2015.



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6. S.Anbuchelian,S.Lokesh and B.Madhusudhanan, "Improving security in wireless sensor Network using trust and metaheuristic algorithms" presented in a International level conference on ESTCON2016, organised by Universiti Teknologi Petronas, Kuala Lumpur, Malaysia from 15-Aug-2016 to 17-Aug-2016.



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7. S.Deena, "Secure routing mechanism for Wireless Sensor Network using Trust values" presented in a International level conference on Secure routing mechanism for Wireless Sensor Network using Trust values, organised by Christ University Bangalore, India from 01-Mar-2018 to 02-Mar-2018.



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8. S.Deena, on Clinical Decision Support System for classifying chronic kidney disease using data mining techniques, organised by WASET, USA from 06-Jun-2018 to 07-Jun-2018".

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