Welcome to Department of

Dr. Khundrakpam Johnson Singh

Assistant Professor and Head of Department
Computer Science and Engineering

Email: [email protected]

Education Youtube Channel: "Topic discussion in cse"

url: https://www.youtube.com/channel/UC9_NIWdnkezBwwDxvTHnFSA

Scopus ID: 57188881892

Orchid ID: https://orcid.org/0000-0001-9722-0592

Google Scholar: https://scholar.google.com/citations?user=U8uCFoMAAAAJ&hl=en

Teaching:

B.Tech: Subject

               1. Computer Organization and Architecture(CS206)

               2. Computer Networks(CS306)

               3. Computer and Network Security(CS0541)

               4. Discrete Mathematics (CS203)

               5. Introduction to Computing(CS101)

M.Tech: Subject

                1. Mathematics for Computer Science(CS502)

                2. Theory of Computation(CS504)

                3. Computer & network security (CS526)

Research Interest:

Cyber Security, Network Security, Machine Learning and Data Mining

Paper Published

Paper Published in Referred Journals:

1. Khundrakpam Johnson Singh, Khelchandra Thongam, Tanmay De (2018): Detection and Differentiation of Application Layer DDoS attack using Fuzzy-GA approach, IET Information Security,DOI: 10.1049/iet-ifs.2017.0500. [SCI Expanded]

2. Khundrakpam Johnson Singh, Khelchandra Thongam, Tanmay De(2016): Entropy Based Application Layer DDoS Attack Detection Using Artificial Neural Networks, Entropy, 18(10),p. 350. DOI: 10.3390/e18100350. [SCI Expanded]

3.Khundrakpam Johnson Singh, Tanmay De (2017): Application Layer DDoS Attack Detection Using MLP with Genetic Algorithm, Journal of Information Security and Application, 36, pp. 145-153. DOI: 10.1016/j.jisa.2017.09.004. [SCI Expanded]

4.Khundrakpam Johnson Singh, Tanmay De (2017):Efficient Classification of DDoS Attacks Using Ensemble Feature Selection Algorithm, Journal of Intelligent Systems,DOI: https://doi.org/10.1515/jisys-2017-0472. [SCOPUS,Web of Science]

5.Khundrakpam Johnson Singh, Tanmay De (2017): Analysis of Application Layer DDoS Attack Detection Parameters Using Statistical Classifiers Internetworking Indonesia Journal,9(2), pp. 23-31. [SCOPUS,Web of Science]

6.Khundrakpam Johnson Singh, Tanmay De (2017):Mathematical Modeling of DDoS and Detection using Correlation, Journal of Cyber Security Technology,Taylor & Francis, pp. 1-12, DOI: 10.1080/23742917.2017.1384213.

7.Khundrakpam Johnson Singh, Janggunlun Haokip, USC,(2020):A Novel Approach to Develop and Deploy Preventive Measures for Different Types of DDoS Attacks, International Journal of Information Security and Privacy, 14(2), DOI: 10.4018/IJISP.2020040101.[SCOPUS, Web of Science]

8. Chanu, US,Khundrakpam Johnson Singh, Chanu, YJ. An ensemble method for feature selection and an integrated approach for mitigation of distributed denial of service attacks. Concurrency Computat Pract Exper. 2022; 34(13):e6919. doi:10.1002/cpe.6919 [SCI Expanded]

9. Usham Sanjota Chanu, Khundrakpam Johnson Singh, Yambem Jina Chanu,A dynamic feature selection technique to detect DDoS attack, Journal of Information Security and Applications,Volume 74,2023,103445,ISSN 2214-2126,https://doi.org/10.1016/j.jisa.2023.103445. [SCI Expanded]

10. Khundrakpam Johnson Singh, Maisnam, D. & Chanu, U.S. Intrusion Detection System with SVM and Ensemble Learning Algorithms. SN COMPUT. SCI. 4, 517 (2023). https://doi.org/10.1007/s42979-023-01954-3 [SCOPUS]

11.Sharma HS, Khundrakpam Johnson Singh. A feed forward deep neural network model using feature selection for cloud intrusion detection system. Concurrency Computat Pract Exper. 2023;e8001. doi: 10.1002/cpe.8001 [SCI Expanded]

12.Sharma, H.S., Khundrakpam Johnson Singh. Intrusion detection system: a deep neural network-based concatenated approach. J Supercomput (2024). https://doi.org/10.1007/s11227-024-05994-1 [SCI Expanded]

Paper Published in Conferences:

1. Khundrakpam Johnson Singh, Tanmay De (2015): A Novel Approach of Detection and Mitigation of DDoS Attack, Int’l Conference on Computer Science, Data Mining & Mechanical Engineering (ICCDMME 2015) , pp. 61-66, 20-21 April,Bangkok, Thailand.

2. Khundrakpam Johnson Singh, Tanmay De (2015): An Approach of DDoS Attack Detection Using Classifiers, 2015 International Conference on Emerging Research in Computing, Information, Communication and Applications, Springer, vol.1, pp. 429-437, 30-31 August 2015, springer India, New Delhi. DOI:10.1007/978-81-322-2550-8_41.

3. Khundrakpam Johnson Singh, Tanmay De (2015): DDoS Attack Detection and Mitigation Technique Based on Http Count and Verification Using CAPTCHA, 2015 International Conference on Computational Intelligence and Networks (CINE), IEEE, pp.196-197, 12-13 January, 2015, Bhubaneshwar, India. DOI: 10.1109/CINE.2015.47.

4. Irom Lalit Meitei, Khundrakpam Johnson Singh, and Tanmay De (2016): Detection of DDoS DNS Amplification Attack Using Classification Algorithm. In Proceedings of the International Conference on Informatics and Analytics (ICIA-16). ACM, New York, NY, USA, Article 81 , 6 pages. DOI: http://dx.doi.org/10.1145/2980258.2980431

5. Ningombam Anandshree Singh, Khundrakpam Johnson Singh, and Tanmay De (2016): Distributed denial of service attack detection using Naive Bayes Classifier through Info Gain Feature Selection. In Proceedings of the International Conference on Informatics and Analytics (ICIA-16). ACM, New York, NY, USA, Article 54, 9 pages. DOI: http://dx.doi.org/10.1145 /2980258.2980379

6. Naorem Nalini Devi, Khundrakpam Johnson Singh and Tanmay De (2016): ICMPDDoS Attack Detection using Clustering-Based Neural Networks Techniques, In Proceedings of International Conference on Frontiers in Optimization: Theory and Applications (FOTA-16), 24-26 November 2016, Kolkata, India. (Springer Proceedings in Mathematics & Statistics). DOI: https://doi.org/10.1007/978-981-10-7814-9_16 [SCOPUS]

7. Sharma G.A., Khundrakpam Johnson Singh, Singh M.D. (2020) A Deep Learning Approach to Image-Based Malware Analysis. In: Das H., Pattnaik P., Rautaray S., Li KC. (eds) Progress in Computing, Analytics and Networking. Advances in Intelligent Systems and Computing, vol 1119. Springer, Singapore

8. Roy A., Khundrakpam Johnson Singh (2021) Multi-classification of UNSW-NB15 Dataset for Network Anomaly Detection System. In: Purohit S., Singh Jat D., Poonia R., Kumar S., Hiranwal S. (eds) Proceedings of International Conference on Communication and Computational Technologies. Algorithms for Intelligent Systems, pp 429-451. Springer, Singapore. https://doi.org/10.1007/978-981-15-5077-5_40

9.Thongam Jayaluxmi Devi, Khundrakpam Johnson Singh (2021) Anomaly-Based Intrusion Detection System in Two Benchmark Datasets Using Various Learning Algorithms. In: Satapathy S.C., Bhateja V., Favorskaya M.N., Adilakshmi T. (eds) Smart Computing Techniques and Applications. Smart Innovation, Systems and Technologies, vol 225. Springer, Singapore. https://doi.org/10.1007/978-981-16-0878-0_19 [SCOPUS]

10.Priya Devi A., Khundrakpam Johnson Singh  (2021) A Machine Learning Approach to Intrusion Detection System Using UNSW-NB-15 and CICDDoS2019 Datasets. In: Satapathy S.C., Bhateja V., Favorskaya M.N., Adilakshmi T. (eds) Smart Computing Techniques and Applications. Smart Innovation, Systems and Technologies, vol 225. Springer, Singapore. https://doi.org/10.1007/978-981-16-0878-0_20 [SCOPUS]

11.Anand, N., Khundrakpam Johnson Singh (2023). An Overview on Security and Privacy Concerns in IoT-Based Smart Environments. In: Rao, U.P., Alazab, M., Gohil, B.N., Chelliah, P.R. (eds) Security, Privacy and Data Analytics. ISPDA 2022. Lecture Notes in Electrical Engineering, vol 1049. Springer, Singapore. https://doi.org/10.1007/978-981-99-3569-7_21

12.Hidangmayum Satyajeet Sharma and Khundrakpam Johnson Singh, "A Comprehensive survey on Various Machine Learning Models for Anomaly-Based Intrusion Detection System", In: Saroj Hiranwal and Garima Mathur (eds), Artificial Intelligence and Communication Technologies, SCRS, India, 2022, pp. 393-408. https://doi.org/10.52458/978-81-955020-5-9-38

13.Usham Sanjota Chanu, Khundrakpam Johnson Singh and Yambem Jina Chanu, "A Novel Approach for Classification of DDoS Attacks using Naive Bayes", In: Saroj Hiranwal and Garima Mathur (eds), Artificial Intelligence and Communication Technologies, SCRS, India, 2022, pp. 429-436. https://doi.org/10.52458/978-81-955020-5-9-40

14.Khan, W., Singh,Khundrakpam Johnson Singh (2024). Computerized Sensing of Diabetes Retinopathy with Fundus Images Using CNN. In: Swain, B.P., Dixit, U.S. (eds) Recent Advances in Electrical and Electronic Engineering. ICSTE 2023. Lecture Notes in Electrical Engineering, vol 1071. Springer, Singapore. https://doi.org/10.1007/978-981-99-4713-3_37

15.Kumar, S., Singh, Khundrakpam Johnson Singh (2024). Intrusion Detection System Using Supervised Machine Learning. In: Swain, B.P., Dixit, U.S. (eds) Recent Advances in Electrical and Electronic Engineering. ICSTE 2023. Lecture Notes in Electrical Engineering, vol 1071. Springer, Singapore. https://doi.org/10.1007/978-981-99-4713-3_38

16.Sharma, H.S., Singh, Khundrakpam Johnson Singh (2024). An Efficient Intrusion Detection System Using Feature Selection and Long Short-Term Memory (LSTM). In: Swain, B.P., Dixit, U.S. (eds) Recent Advances in Electrical and Electronic Engineering. ICSTE 2023. Lecture Notes in Electrical Engineering, vol 1071. Springer, Singapore. https://doi.org/10.1007/978-981-99-4713-3_51

17.Anand, N., Singh,Khundrakpam Johnson Singh (2024). A Comprehensive Study of DDoS Attack on Internet of Things Network. In: Swain, B.P., Dixit, U.S. (eds) Recent Advances in Electrical and Electronic Engineering. ICSTE 2023. Lecture Notes in Electrical Engineering, vol 1071. Springer, Singapore. https://doi.org/10.1007/978-981-99-4713-3_56

18.Kamei, D., Singh, Khundrakpam Johnson Singh (2024). A Matrix Factorization Algorithm for Movie Recommendation. In: Swain, B.P., Dixit, U.S. (eds) Recent Advances in Electrical and Electronic Engineering. ICSTE 2023. Lecture Notes in Electrical Engineering, vol 1071. Springer, Singapore. https://doi.org/10.1007/978-981-99-4713-3_57

19.K. S. Singh and Khundrakpam Johnson Singh, "Network Intrusion Detection System Using Decision Tree and KNN Algorithm," IEEE 2024 3rd International conference on Power Electronics and IoT Applications in Renewable Energy and its Control (PARC), Mathura, India, 2024, pp. 275-280, doi: 10.1109/PARC59193.2024.10486386.

Books Published

1. Cyber Security: 15th International Annual Conference, CNCERT 2018, Beijing, China, August 14-16, 2018. (Program Committee Member) Xiaochun Yun, Weiping Wen, Bo Lang, Hanbing Yan, Li Ding, Jia Li, Yu Zhou [Springer Open]

Academic Information

1.PHD (Computer Science and Engineering) from National Institute of Technology, Durgapur

2. M.Tech (Computer Science and Engineering) from Dayananda Sagar College of Engineering, Bangalore

3. B.Tech (Computer Science and Engineering) from KBNCE, Karnataka

4. UGC NET Qualified

Project Information

R&D and Consultancy Project

1. Developing printed Meitei Mayek recognition system and converting to speech to bridge a generation gap of the language

    (DST Manipur, 2024, Ongoing)  Principal Investigator

2. Development of AI Translation Software from English to Meitei Mayek (script) and Roman alphabet

    (High Court of Manipur, 2023, Ongoing) Co-Principal Investigator

3. Identifying the best practices of the High court and District court functioning, technical specification, technical evaluation and training of IT team

   (High Court of Manipur, 2023, Ongoing) Co-Principal Investigator

Other Activity Information

Sl.

No.

Position/Designatio n

Organization

Period

Responsibilities

From

To

1

Head of Department

Dept. of Computer Science and Engineering

   NIT Manipur

4th January 2021 to 2nd January 2023

22nd May 2023 to Till Date

 Academic and Administration of the Department

2

Training and Placement Officer

   NIT Manipur

24th January 2014 To Till date

 Training and Placement, Internship