S. K. Sahu, D. P. Mohapatra, and S. K. Panda,"A self-trained support vector machine approach for intrusion detection", in Advances in Distributed Computing and Machine Learning Proceedings of ICADCML 2020, vol.127, pp.391-402, Springer, lecture notes in networks and systems, June 2020, 10.1007/978-981-15-4218-3_38       Inproceedings

D. Majhi, M. Rao, S. Sahoo, S. P. Dash, and D. P. Mohapatra,"Modified Grey Wolf Optimization(GWO) based accident deterrence in Internet of Things (IoT) enabled mining industry", in International Conference on Computer Science, Engineering and Applications (ICCSEA), IEEE, Gunupur, India, India, March 2020, 10.1109/ICCSEA49143.2020.9132882       Inproceedings

S. K. Barisal, P. Kishore, A. Kumar, B. Sahoo, and D. P. Mohapatra,"Measuring MC/DC Coverage and Boolean Fault Severity of Object-Oriented Programs Using Concolic Testing", in Intelligent and Cloud Computing. Smart Innovation, Systems and Technologies, pp.345-353, Springer, Singapore, October 2020, 10.1007/978-981-15-5971-6_38       Inproceedings

K. V. Kumar, P. Kumari, A. Chatterjee, and D. P. Mohapatra,"Software Fault Prediction Using Random Forests", in Smart Innovation, Systems and Technologies, pp.95-103, Springer, Singapore, October 2020, 10.1007/978-981-15-5971-6_10       Inproceedings

S. K. Sahu, D. P. Mohapatra, and S. K. Panda,"A Self-trained Support Vector Machine Approach for Intrusion Detection", in Lecture Notes in Networks and Systems, pp.391-402, Springer, Singapore, June 2020, 10.1007/978-981-15-4218-3_38       Inproceedings

P. Kishore, S. K. Barisal, and D. P. Mohapatra,"JavaScript malware behaviour analysis and detection using sandbox assisted ensemble mode", in IEEE REGION 10 CONFERENCE (TENCON), pp.864-869, IEEE, December 2020, 10.1109/TENCON50793.2020.9293847       Inproceedings

P. Kishore, S. K. Barisal, and D. P. Mohapatra,"An incremental malware detection model for meta-feature API and system call sequence", in 15th Conference on Computer Science and Information Systems (FedCSIS), pp.629-638, IEEE, October 2020, 10.15439/2020F73       Inproceedings

P. Kishore, S. K. Barisal, A. G. Reddy, and D. P. Mohapatra,"ELM-MVD: An Extreme Learning Machine Trained Model for Malware Variants Detection", in Communications in Computer and Information Science, pp.283-292, Springer, Singapore, July 2020, 10.1007/978-981-15-6634-9_26       Inproceedings

S. K. Sahu, D. P. Mohapatra, and S. K. Panda,"A Self-trained Support Vector Machine Approach for Intrusion Detection", in Advances in Distributed Computing and Machine Learning, vol.127, pp.391-402, Springer, Singapore, lecture notes in networks and systems, June 2020, 10.1007/978-981-15-4218-3_38       Inproceedings

N. Panda, A. A. Acharya, and D. P. Mohapatra,"Test scenario prioritization for object-oriented systems using UML diagram", International Journal of System Assurance Engineering and Management, vol.10, no.3, pp.316–325, Springer, January 2019, 10.1007/s13198-019-00759-z       Article