PhDs guided 

https://www.nitt.edu/home/academics/departments/cse/faculty/leela

Dr. Arun Raj Kumar P

Home Town: Puducherry, Pondicherry

Qualification: M. Tech. (CSE), National Institute of Technology, Tiruchirappalli
B. E. (CSE), Regional Engineering College, Jaipur

Area of Interest: Computer Networks, Wireless Sensor Networks, Network Security

Date of Ph. D. Registration: 04, Aug.’08

Status: Public Viva-voce defense on 10, May 2013

Research Work: Distributed Denial of Service (DDoS) Attack Detection using Ensemble of Classifiers

PUBLICATIONS

• Arun Raj Kumar, P. and S. Selvakumar, “M₂KMIX: Identifying the type of High Rate Flooding Attacks using a Mixture of Expert Systems”,International Journal of Computer Network and Information Security, MECS Publishers, Hong Kong, Feb. 2012, pp. 1-16. [pdf]
• Arun Raj Kumar, P., and S. Selvakumar, “Anomaly Detection using REONIT and Attack Confirmation using Neural Ensemble”, IEEE International Conference on Computational Intelligence and Communication Networks (CICN 2011), Machine Intelligence Research (MIR) Labs, Gwalior, INDIA, October 7-9, 2011, pp. 197-201. [pdf]
• P. Arun Raj Kumar and S. Selvakumar, “Distributed Denial of Service Attack Detection using an Ensemble of Neural Classifier”, International Journal of Computer Communications, Elsevier Publications, UK,Vol. 34, July 2011, pp. 1328-1341. [pdf]
• Arun Raj Kumar, P., and S. Selvakumar, “Mathematical Modeling of DDoS attack and Defense – A Survey”, IEEE 3^rd International Conference on Computer Modeling and Simulation (ICCMS 2011), Mumbai, Maharashtra, January 7-9, 2011, Volume 2, pp. 85-89. [pdf]
• Arun Raj Kumar, P., and S. Selvakumar, “Distributed Denial of Service Threat in Collaborative Environment – A Survey of DDoS attack tools and traceback mechanisms”, IEEE International Advance Computing Conference(IACC 2009), Patiala, Punjab, 6-7 March 2009, pp. 1275-1280. [pdf]
• Arun Raj Kumar, P., and S. Selvakumar, “BEAR: Balanced Energy Aware Routing in Dense Wireless Multihop Sensor”, Fourth National Conference on Machine Intelligence (NCMI 2008), Jagadhri, Haryana, India, 22-23 August 2008, pp. 118 – 122. [pdf]

TRAINING PROGRAMS / CONFERENCES ATTENDED

• 3 days Indo-US Council for Engineering Education 2011 Program on “Teaching Engineering using MATLAB and SIMULINK” from 12.07.2011 to 14.07.2011 at R.V. College of Eng., Bangalore, Karnataka, India.
• 5 days TECS Week’09 Program on “Decentralized and Cooperative Computing” from 05.01.09 to 09.01.09 at Tata Research Design and Development Centre (TRDDC), Pune, Maharashtra, India.
• “International Conference on Surveillance and Security “Strategic Surveillance – Safeguard Security”, organized by Confederation of Indian Industry (CII), held at Sheraton Park Hotels, Chennai, India on 30, April 2011.
• Seventh Indo – Australian Conference on IT Security (IACITS) held at SETS India, Chennai on 11-12 April 2011.
• IFIP Networking 2010 Conference held at IIT Madras, Chennai on 14^th May 2010.
• Fifth Indo Australian Conference on IT Security (IACITS 2009) held at JNU, Delhi, India on 1-2, Apr 2009.
• Fourth Indo Australian Conference on IT Security (IACITS 2008) held at Pondicherry University, Puducherry, India on 27-28, Mar 2008.
• Second Annual Workshop on Wireless Systems and Advanced Research and Development (WISARD 2008) held in conjunction with Third International Conference on Communication System Software and Middleware (COMSWARE 2008), Bangalore, India, 11-12, January 2008.

Email: park286@gmail.com

Dr. R. Alageswaran

Home Town: Puliangudi, Tirunelveli District, Tamilnadu

Qualification: M. E. (CSE) – 2003, National Institute of Technology, Tiruchirappalli
B. E. (CSE) – 1993, National Engineering College, Madurai Kamaraj University, Madurai

Area of Interest: Computer Networks, Network Security, Microprocessors and Microcontrollers

Date of Ph. D. Registration: July 2006

Status: Submitted Thesis on 22^nd June 2012 to SASTRA University

Research Work: GELSenVAC: A Novel Sensor Network Framework for WSN Simulation

PUBLICATIONS

• Alageswaran. R, S. Selvakumar, and Neelamegam. P, “WECalc: A Network Life Time Predictor Tool for WSN Applications”, Research Journal of Applied Sciences, Engineering, and Technology, Maxwell Science Publications, Volume 4, Number 9, 2012, pp. 1027-1034. [pdf]
• Alageswaran. R, S. Selvakumar, and Neelamegam. P, “Life Time based Analysis of MAC Protocols of Wireless Adhoc Networks in WSN Applications”, World Academy of Science, Engineering, and Technology (WASET), Issue 66, June 2012, pp. 1170-1174. [pdf]
• Alageswaran. R and S. Selvakumar, “Quality of Service Analyzer for Real-Time Video Stream”, 11th International Conference on Advanced Computing (ADCOM 2003), Coimbatore, 18-20, December 2003.
• Alageswaran. R, S. Selvakumar, and Neelamegam, “Embedded Networks (EmNets): Building Blocks and Issues”, National conference on Information Technology MEPCOIT 07, Sivakasi, 09, March 2007. [pdf]

TRAINING PROGRAMS / CONFERENCES ATTENDED

• Seminar on “Research Issues and Challenges in Social Networks”, organized by National Institute of Technology, Tiruchirappalli on 04^th May, 2012.
• Five days FLI workshop on “Wireless Sensor Networks and Programming”, organised by IUCEE at BVB College of Engineering and Technology, Hubli held during 15-19 June, 2011.
• Three Days Workshop on “Network Simulation Using NS-2”, organised by REVA College of Engineering and Management, Bangalore held during 02-04 February, 2011.
• Two Days Workshop on “Ubiquitous Computing”, organised by C-DAC, Chennai held during 29-30 January, 2010.
• Five days workshop on “High impact Teaching Skills progrmme”, conducted by WIPRO at K.L.N. College of Engineering held during 05-09 January, 2009.
• MHRD sponsored summer school on “PIC micro controller 16F877A” organized by National Institute of Technical Teachers Training and Research Institute, Chennai held during 28^th July – 02^nd August 2008.
• First International Seminar on “Embedded platforms and design Tools” Organized by VI Micro Systems at Hotel Le Meridian, Chennai held during 10-11 April, 2008.

Email: alageswaranr@yahoo.com

Dr. Sangeeta Bhattacharya

Home Town: Bhatpara, West Bengal

Qualification: M. Tech. (Multimedia & Software Systems) – 2011, National Institute of Technical Teachers’ Training and Research, Kolkata (1st Rank)
B. Tech. (CSE) – 2008, Meghnad Saha Institute of Technology, West Bengal University of Technology, Kolkata

Area of Interest: Wireless Sensor Networks, Network Security, Algorithm Design

Date of Ph. D. Registration: August 2011

Status: Completed

Research Work: An Efficient Feature Selector and Network Attack Detection System

LIST OF PUBLICATIONS

I) REFEREED JOURNALS

1. Bhattacharya, Sangeeta and S. Selvakumar (2015) Multi-Measure Multi-Weight Ranking Approach for Identification of the Network Features for the Detection of DoS and Probe Attacks. The Computer Journal, Oxford Publications (SCIE, IF: 0.787) (DOI: 10.1093/comjnl/bxv078).

2. Bhattacharya, Sangeeta and S. Selvakumar (2015) LAWRA: A LAyered WRapper Feature Selection Approach for Network Attack Detection. Security and Communication Networks, Wiley Publications (SCIE, IF: 0.72) (Early View DOI: 10.1002/sec.1270).

II) PRESENTATION IN CONFERENCE

1. Bhattacharya, Sangeeta and S. Selvakumar (2014) SSENet-2014 Dataset: A Dataset for Detection of Multiconnection Attacks. In Proceedings of the 3rd International Conference on Eco-friendly Computing and Communication Systems, NITK Surathkal, Mangalore, 18-21 December, IEEE, pp. 121-126, (DOI: 10.1109/Eco-friendly.2014.100).

TRAINING PROGRAMS / CONFERENCES ATTENDED

• 13 days Summer School on “Ethical Hacking & Network Security” during 18-30, June 2012 at NIT, Rourkela, Odisha.
• 5 days Short Term Course on “Intelligent Informatics” during 15-19, July 2013 at IIT, Kanpur, UP.

Email: 406111002@nitt.edu

Dr. Vasudevan A. R

Home Town: Palakkad, Kerala

Qualification: M. Tech. (Cyber Security) – 2009, Amrita University, Ettimadai, Coimbatore
B. Tech. (CSE) – 2006, Nehru College of Engineering and Research Centre, Calicut University

Area of Interest: Computer Networks, Network Security, IDS, Machine Learning

Date of Ph. D. Registration: 26, Jan.’10

Status: Completed

Research Work: Analysis of Network Intrusion Detection Dataset

LIST OF PUBLICATIONS

I. International Journals

1. Vasudevan, A. R. and S. Selvakumar, “Intra and Inter class correlation coefficient based feature selection in NIDS Dataset”, Submitted to the International Journal of Security and Communication Networks, Wiley Publications, (SCIE, Impact Factor: 0.433). DOI: 10.1002/sec.1269
   (URL: http://onlinelibrary.wiley.com/doi/10.1002/sec.1269/abstract)
2. Vasudevan, A. R. and S. Selvakumar, “Evolution of a Hybrid model for an effective Perimeter Security Device”, Defence Science Journal, Desidoc Publications, DRDO, India, (SCIE, Impact Factor: 0.310).
3. Vasudevan, A. R. and S. Selvakumar, “Local Outlier Factor and Stronger One Class Classifier based Hierarchical Model for detection of attacks in Network Intrusion Detection Dataset” Submitted to Frontiers of Computer Science, Springer Publications, (SCIE, Impact Factor: 0.405).

II. International Conferences

1. Vasudevan, A. R. and S. Selvakumar, “Effects of Data Normalization Techniques on Intrusion Detection Dataset” in the International Conference on Frontiers of Computer Science, (ICFoCS-2011), J. N. Tata Convention Centre, IISc, Bangalore, August 7-9, 2011, pp. 313-318.
2. Vasudevan, A. R., E. Harshini, and S. Selvakumar, “SSENet-2011: a Network Intrusion Detection System Dataset and Comparison with KDD CUP 99 Dataset”, In Proc. of Asian Himalayas – International Conference on Internet (AH-ICI2011), Kathmandu, Nepal, November 4-6, 2011, pp. 121-125.

TRAINING PROGRAMS / CONFERENCES ATTENDED

• International Conference on Surveillance and Security “Strategic Surveillance – Safeguard Security, organized by Confederation of Indian Industry (CII), held at Sheraton Park Hotels, Chennai, India on 30^th April 2011.
• Seventh Indo – Australian Conference on IT Security (IACITS) held at SETS India, Chennai on 11-12 April 2011.
• Third International Conference on COMunication Systems and NETworkS (COMSNETS-2011) held at Hotel Chancery Pavilion, Bangalore on January 4-8, 2011.
• IFIP Networking 2010 Conference held at IIT Madras, Chennai on 14^th May 2010.
• 5 days Workshop on “Data Mining and Machine Learning Paradigms for Cyber Security” held at Chitkara University, Punjab Campus, India on from 11-15, July 2011.

Email: arv.vasudevan@gmail.com

Dr. Bhuvaneswari Amma N. G

Home Town: Tiruchirappalli

Qualification:  M. E. (CSE) – 2009, College of Engineering, Anna University Guindy Campus, Chennai, B. E. (IT) – 2004, Jayamatha Engineering College, Aralvaimozhi, Kanyakumari

Area of Interest:  Computer Networks, Network Security

Date of Ph. D. Registration: August 2016

Email: 406116002@nitt.edu

LIST OF PUBLICATIONS

I) REFEREED JOURNALS

1. Bhuvaneswari Amma N.G. and Selvakumar S., “Deep Radial Intelligence with Cumulative Incarnation approach for detecting Denial of Service Attacks”, Neurocomputing (Elsevier), Vol. 340, 2019, pp. 294-308 (SCIE – IF: 4.438, DOI: 10.1016/j.neucom.2019.02.047)
2. Bhuvaneswari Amma N.G. and Selvakumar S., “A Statistical Class Center based Triangle Area Vector Method for Detection of Denial of Service Attacks”, Cluster Computing (Springer), 2020 (SCIE – IF: 3.458, DOI: 10.1007/s10586-020-03120-3)
3. Bhuvaneswari Amma N.G. and Selvakumar S., “Anomaly Detection Framework for Internet of Things Traffic using Vector Convolutional Deep Learning Approach in Fog Environment”, Future Generation Computer Systems (Elsevier), Vol. 113, 2020, pp. 255-265 (SCIE – IF: 6.125, DOI: 10.1016/j.future.2020.07.020)
4. Bhuvaneswari Amma N.G., Selvakumar S., and Leela Velusamy R., “A Statistical Approach for Detection of Denial of Service Attacks in Computer Networks”, IEEE Transactions on Network and Service Management (IEEE) (SCIE – IF: 3.878, DOI: 10.1109/TNSM.2020.3022799)

II) PRESENTATION IN CONFERENCES

a)   Presented – Abroad

1. Bhuvaneswari Amma N.G. and Selvakumar S., “VCDeepFL: Vector Convolutional Deep Feature Learning Approach for Identification of Known and Unknown Denial of Service Attacks”, Proceedings of IEEE Region 10 (Asia-Pacific) Conference, TENCON 2018, pp. 640-645, Jeju, Korea from 28 – 31 October, 2018.
2. Bhuvaneswari Amma N.G. and Selvakumar S., “Feature Correlation Map based Statistical Approach for Denial of Service Attacks Detection”, Proceedings of IEEE International Conference on Computing, Engineering, and Design, ICCED 2019, pp. 169-174, Nanyang Avenue, Singapore from 11 – 13 April, 2019 – Received CSIR Travel Grant Full Air Fare and Best Paper Award.

b)   Presented – India

1. Bhuvaneswari Amma N.G. and Selvakumar S., “DeepAD: A Deep Learning Framework for Anomaly Detection in Large Scale Networks”, Proceedings of IEEE International Conference for Convergence in Technology, I2CT 2019, pp. 432-436, Pune, India from 29 – 31 March, 2019.
2. Bhuvaneswari Amma N.G. and Selvakumar S., “RumorDetect: Detection of Rumors in Twitter using Convolutional Deep Tweet Learning Approach”, Proceedings of Springer International Conference on Computational Vision and Bio Inspired Computing, ICCVBIC 2019, pp. 429-436, Coimbatore, India from 25 – 26 September, 2019.
3. Bhuvaneswari Amma N.G., Selvakumar S., and Leela Velusamy R., “SAGRU: A Stacked Autoencoder based Gated Recurrent Unit Approach for Intrusion Detection”, Proceedings of Springer International Conference on Frontiers of Intelligent Computing: Theory and Applications, FICTA 2020, NITK Surathkal, India from 04 – 05 January, 2020.

III) BOOK CHAPTER

S. Selvakumar and N.G. Bhuvaneswari Amma, “Computational Intelligence Methods for Anomaly based Detection of Distributed Denial of Service Attacks”, New Horizons in Computer Science Research (Nova Publishers), 2020 (Accepted for Publication).

Dr. Elakkiya E

Home Town: Thanjavur

Qualification: M. E. (SE) – 2013, Anna University, CEG Campus, Guindy.
B. Tech. (CSE) – 2006, E. G. S. Pillay Engineering College, Nagapattinam.

Area of Interest: Computer Networks, social Network Analysis, Data Mining.

Date of Ph. D. Registration: August, 2015

Status: Degree Awarded

Research Work: Detection of Attacks launched through Social Networks

Email: 406115004@nitt.edu

LIST OF PUBLICATIONS

I. Refereed Journals

1. Elakkiya, E., and S. Selvakumar. “GAMEFEST: Genetic Algorithmic Multi Evaluation measure based Feature Selection Technique for social network spam detection.” Multimedia Tools and Applications (Springer), pp. 1-33, 2019 (SCIE – Impact Factor: 2.313)
2. Elakkiya, E., Selvakumar S. and Leela Velusamy R., “TextSpamDetector: Textual content based deep learning framework for social spam detection using conjoint attention mechanism”, Journal of Ambient Intelligence and Humanized Computing, Springer. (SCIE – Impact Factor: 4.594)

II. International Conferences

1. Elakkiya, E., and S. Selvakumar. “Initial Weights Optimization using Enhanced Step Size Firefly Algorithm for Feed Forward Neural Network applied to Spam Detection.” In IEEE Region 10 Conference (TENCON), pp. 942-946. IEEE, Kerala, 2019.
2. Elakkiya, E., Selvakumar S. and Leela Velusamy R., “CIFAS: Community Inspired Firefly Algorithm with fuzzy cross-entropy for feature selection in Twitter Spam detection” The 11th International Conference on Computing, Communication And Networking Technologies (ICCCNT), IIT Kharagpur, July, 2020.

Dr. S. Priya

Home Town: Tiruchirappalli

Qualification: M. E. (CSE) 2011-2013, Anna University, Chennai.
B. Tech. (CSE) 2005- 2009, Anna University, Chennai.

Area of Interest: Automata Theory, Computer Networks, Social Network Analysis, Cyber Security

Date of Ph. D. Registration: February 2015

Status: Completed

Research Work: A Study on Counteracting Phishing Attacks using Machine Learning Approaches

Email: priyasarav.nitt@gmail.com

TRAINING PROGRAMS / CONFERENCES ATTENDED

1. 5 days Workshop on “Big Data Analytics:Tools and Techniques” during 8-12, June 2015 at NIT, Tiruchirappalli.
2. 2 days Workshop on “Big Data & Hadoop” during 6-7, March 2015 at SSN College of Engineering, Chennai.

LIST OF PUBLICATIONS

I) REFEREED JOURNALS

1. Priya S, Selvakumar S. Detection of phishing attacks using probabilistic neural network with a novel training algorithm for reduced Gaussian kernels and optimal smoothing parameter adaptation for mobile web services. International Journal of Ad Hoc and Ubiquitous Computing, Inderscience. 2021; 36(2):67-88. (SCIE, IF-0.714).
2. Priya, S., Selvakumar, S. & Velusamy, R.L. Evidential theoretic deep radial and probabilistic neural ensemble approach for detecting phishing attacks. Journal of Ambient Intelligence and Humanized Computing (2021). https://doi.org/10.1007/s12652-021-03405-4, Springer. (SCIE, IF-7.10).
3. Priya S, Selvakumar S, Velusamy RL. PaSOFuAC: Particle Swarm Optimization based Fuzz Associative classifier for Detection of Phishing Attacks, Wireless Personal Communication, Springer, DOI: 10.1007/s11277-022-09576-3. (SCIE, IF-1.61).

II) PRESENTATION IN CONFERENCES

1. Priya, S. and Selvakumar, S., Classifier Performance Evaluation of Phishing Detection Model on Optimal Number of Clusters. Proceedings of International Conference on Sustainable Computing in Science Technology and Management (SUSCOM), Jaipur – India, February 26-28, 2019, SSRN,Elsevier.
2. Priya S, Selvakumar S, Velusamy RL. Detection of Phishing Attacks using Radial Basis Function Network Trained for Categorical Attributes. In2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT) 2020 Jul 1 (pp. 1-6). IEEE, IIIT, Khragpur.
3. Priya S, Selvakumar S, A Framework for Detecting Phishing Websites using GA based Feature Selection and ARTMAP based Website Classification.Procedia Computer Science, Elsevier, IIITM, Kerala, 2020 Jan 1;171:1083-92.
4. Priya S, Selvakumar S, Velusamy RL. Gravitational Search Based Feature Selection for Enhanced Phishing Websites Detection. In2020 2nd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA) 2020 Mar 5 (pp. 453-458). IEEE.

III) BOOK CHAPTER

S. Selvakumar, S. Priya. A Systematic Review of Anomaly based techniques for detection of Phishing Attacks, Book Title: Horizons in Computer Science Research, Nova Publisher.(Accepted for publication).