Swadhin Kumar Barisal

Orcid: 0000-0002-5226-2657

According to our database1, Swadhin Kumar Barisal authored at least 16 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Online presence:

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Bibliography

2024
SMUP: A technique to improve MC/DC using specified patterns.
Comput. Electr. Eng., 2024

2023
CGWO: An Improved Grey Wolf Optimization Technique for Test Case Prioritization.
Program. Comput. Softw., December, 2023

An efficient two-stage pipeline model with filtering algorithm for mislabeled malware detection.
Comput. Secur., December, 2023

2022
BOOMPizer: Minimization and prioritization of CONCOLIC based boosted MC/DC test cases.
J. King Saud Univ. Comput. Inf. Sci., November, 2022

Family Classification of Malicious Applications using Hybrid Analysis and Computationally Economical Machine Learning Techniques.
Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2022

Agility Based Coverage Improvement.
Proceedings of the Lean and Agile Software Development - 6th International Conference, 2022

2021
MC/DC guided Test Sequence Prioritization using Firefly Algorithm.
Evol. Intell., 2021

Security Improvement and Privacy Preservation in E-Health.
Proceedings of the ICC 2021, 2021

Particle Swarm Optimized Federated Learning For Securing IoT Devices.
Proceedings of the IEEE Globecom 2021 Workshops, Madrid, Spain, December 7-11, 2021, 2021

Decentralized Controller for Software Interconnected System Subject to Malicious Attacks.
Proceedings of the Position and Communication Papers of the 16th Conference on Computer Science and Intelligence Systems, 2021

2020
JavaScript malware behaviour analysis and detection using sandbox assisted ensemble model.
Proceedings of the 2020 IEEE Region 10 Conference, 2020

ELM-MVD: An Extreme Learning Machine Trained Model for Malware Variants Detection.
Proceedings of the Advances in Computing and Data Sciences - 4th International Conference, 2020

An incremental malware detection model for meta-feature API and system call sequence.
Proceedings of the 2020 Federated Conference on Computer Science and Information Systems, 2020

2019
Validating object-oriented software at design phase by achieving MC/DC.
Int. J. Syst. Assur. Eng. Manag., 2019

NITRSCT: A Software Security tool for collection and analysis of Kernel Calls.
Proceedings of the TENCON 2019, 2019

2018
Achieving MC/DC using UML Communication Diagram.
Proceedings of the International Conference on Information Technology, 2018


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