Publications & Expert Talks

Journals Publications:

1. B. Subba, S. Biswas, S. Karmakar. “A game theory based multi layered intrusion detection framework for VANET”. Future Generation Computer Systems,Elsevier, Vol 82, pp. 12-28, 2018. DOI: 10.1016/j.future.2017.12.008

2. B. Subba, S. Biswas, S. Karmakar. “False Alarm Reduction in Signature based IDS: Game Theory Approach”. Security and Communication Networks, Wiley, Vol 9(18), pp. 4863-4881, 2016. DOI: 10.1002/sec.1661/

3. B. Subba, S. Biswas, S. Karmakar. “Intrusion Detection in Mobile Ad-hoc Networks: Bayesian Game Formulation". Engineering Science and Technology, an International Journal (JESTECH), Elsevier, Vol 19(2), pp. 782-799, 2016. DOI:10.1016/j.jestch.2015.11.001

4. B. Subba, Santosh Biswas and Sushanta Karmakar. “A game theory based multi layered intrusion detection framework for wireless sensor networks.” International Journal of Wireless Information Networks, Springer, 2018. DOI:10.1007/s10776-018-0403-6

5. Yogendra Kumar, B. Subba, "Stacking ensemble-based HIDS framework for detecting anomalous system processes in Windows based operating systems using multiple word embedding." Computers & Security, Volume 125, 2023, 102961, ISSN 0167-4048, https://doi.org/10.1016/j.cose.2022.102961.

6. B. Subba, Kumari S. "A heterogeneous stacking ensemble based sentiment analysis framework using multiple word embeddings." Computational Intelligence. 2022; 38(2): 530–559. https://doi.org/10.1111/coin.12478

7. B. Subba, Prakriti Gupta, "A tfidfvectorizer and singular value decomposition based host intrusion detection system framework for detecting anomalous system processes." Computers & Security, Volume 100, 2021, 102084, ISSN 0167-4048, https://doi.org/10.1016/j.cose.2020.102084.

8. A. Kumar, S. Das and B. Subba, “HTree: Hardware Trojan Attack on Cache Resizing Policies.” IEEE Embedded Systems Letters, 2023 DOI: 10.1109/LES.2023.3347607. 

9. Kumar Y, Kumar V, Subba B., "Optimization techniques for IDS-Generated traffic congestion control in VANET." Internet Technology Letters. 2024;e518. doi: 10.1002/itl2.518

Conference Publications:

1. B. Subba, S. Biswas, S. Karmakar. “Intrusion Detection Systems using Linear Discriminant Analysis and Logistic Regression". Annual IEEE India Conference (INDICON). Dec, 2015. DOI: 10.1109/INDICON.2015.7443533

2. B. Subba, S. Biswas, S. Karmakar. “A Neural Network based system for Intrusion Detection and attack classification". IEEE National Conference on Communication (NCC), Mar 2016. DOI: 10.1109/NCC.2016.7561088

3. B. Subba, S. Biswas, S. Karmakar. “Enhancing performance of anomaly based intrusion detection systems through dimensionality reduction using principal component analysis". IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), Nov, 2016. DOI: 10.1109/ANTS.2016.7947776

4. B. Subba, S. Biswas, S. Karmakar. “Enhancing effectiveness of intrusion detection systems: A hybrid approach".: IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), Nov, 2016. DOI: 10.1109/ANTS.2016.7947777

5. B. Subba, S. Biswas, S. Karmakar. “Host Based Intrusion Detection System Using Frequency Analysis of N-Gram Terms,". IEEE Region 10 Conference (TENCON), Nov, 2017. DOI: 10.1109/TENCON.2017.8228190

6. Y. Kumar and B. Subba, "A lightweight machine learning based security framework for detecting phishing attacks," 2021 International Conference on COMmunication Systems & NETworkS (COMSNETS), 2021, pp. 184-188, doi: 10.1109/COMSNETS51098.2021.9352828. 

7. V. Kumar and B. Subba, "A TfidfVectorizer and SVM based sentiment analysis framework for text data corpus," 2020 National Conference on Communications (NCC), 2020, pp. 1-6, doi: 10.1109/NCC48643.2020.9056085. 

8. Daniyaal Khan, Basant Subba, and Sangeeta Sharma. 2022. "Minimizing Cold Start Times in Serverless Deployments. In Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing (IC3-2022)," Association for Computing Machinery, New York, NY, USA, 156–161. https://doi.org/10.1145/3549206.3549234

9. Y. Kumar, L. Chouhan and B. Subba, "Deep Learning Techniques for Anomaly based Intrusion Detection System: A Survey," 2021 International Conference on Computational Performance Evaluation (ComPE), 2021, pp. 915-920, doi: 10.1109/ComPE53109.2021.9751909. 

10. B. Subba and Singh A. (2021). A Novel Security Framework for Minimization of False Information Dissemination in VANETs: Bayesian Game Formulation. In Proceedings of the 18th International Conference on Security and Cryptography - Volume 1: SECRYPT, ISBN 978-989-758-524-1, pages 452-459. DOI: 10.5220/0010540904520459 

11. B. Subba, "A heterogeneous stacking ensemble-based security framework for detecting phishing attacks," 2023 National Conference on Communications (NCC), Guwahati, India, 2023, pp. 1-6, doi: 10.1109/NCC56989.2023.10068026. 

12. K. Mangalam and B. Subba, "PhishDetect: A BiLSTM based phishing URL detection framework using FastText embeddings," 2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS), Bengaluru, India, 2024, pp. 637-641, doi: 10.1109/COMSNETS59351.2024.10427067.