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Pushkar Kishore

Opcode and API Based Machine Learning Framework For Malware Classification
2022 · Hrishabh Soni, Pushkar Kishore, et al. · International Conference on Intelligent Technologies (CONIT) · 12
An incremental malware detection model for meta-feature API and system call sequence
2020 · Pushkar Kishore, Swadhin Kumar Barisal, et al. · Annals of Computer Science and Information Systems · 9
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NITRSCT: A Software Security tool for collection and analysis of Kernel Calls
2019 · Pushkar Kishore, Swadhin Kumar Barisal, et al. · IEEE Region 10 Conference (TENCON) · 8
An efficient two-stage pipeline model with filtering algorithm for mislabeled malware detection
2023 · Pushkar Kishore, Swadhin Kumar Barisal, et al. · Computers & Security · 5
Security Improvement and Privacy Preservation in E-Health
2021 · Pushkar Kishore, Swadhin Kumar Barisal, et al. · International Conference on Communications · 5
Particle Swarm Optimized Federated Learning For Securing IoT Devices
2021 · Pushkar Kishore, Swadhin Kumar Barisal, et al. · IEEE Globecom Workshops (GC Wkshps) · 4
JavaScript malware behaviour analysis and detection using sandbox assisted ensemble model
2020 · Pushkar Kishore, Swadhin Kumar Barisal, et al. · IEEE Region 10 Conference (TENCON) · 4
Enhancing Malware Classification with Machine Learning: A Comparative Analysis of API Sequence-Based Techniques
2024 · Rajneekant, Pushkar Kishore, et al. · IEEE International Conference on Smart Power Control and Renewable Energy (ICSPCRE) · 3
Family Classification of Malicious Applications using Hybrid Analysis and Computationally Economical Machine Learning Techniques
2022 · Pushkar Kishore, Swadhin Kumar Barisal, et al. · IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) · 2
Malware Detector and Classifier Using API Call Embedding and Graph Neural Networks
2024 · Rajneekant, Pushkar Kishore, et al. · Information systems engineering and management · 1
Applying unsupervised system-call based software security techniques for anomaly detection
2022 · Pushkar Kishore, Gayatri Nayak, et al. · Journal of Information and Optimization Sciences · 1
Familial Analysis of Malicious Android Apps Controlling IOT Devices
2022 · Subhadhriti Maikap, Pushkar Kishore, et al. · Lecture notes in networks and systems · 1
Concolic-Based Software Vulnerability Prediction Using Ensemble Learning
2022 · Swadhin Kumar Barisal, Pushkar Kishore, et al. · Smart innovation, systems and technologies · 1
Decentralized Controller for Software Interconnected System Subject to Malicious Attacks
2021 · Pushkar Kishore, Swadhin Kumar Barisal, et al. · Annals of Computer Science and Information Systems · 1
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ELM-MVD: An Extreme Learning Machine Trained Model for Malware Variants Detection
2020 · Pushkar Kishore, Swadhin Kumar Barisal, et al. · Communications in computer and information science · 1
An efficient blending model for classifying security-related software vulnerabilities into software development life cycle phases
2026 · Pushkar Kishore, Swadhin Kumar Barisal, et al. · Software Quality Journal
MMFL: Multi-modal software fault localizer using structural source code features
2026 · Paramananda Barik, Pushkar Kishore, et al. · AIP conference proceedings
Physics-Informed SAG-Net for Cognitive State Recognition on Consumer-Grade EEG
2025 · Rakesh Kumar Rai, Dushyant Kumar Singh, et al.
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A Multi-Objective Based Genetic Approach for Increasing Crop Yield on Sustainable Farming
2024 · Swadhin Kumar Barisal, Gayatri Nayak, et al. · CRC Press eBooks
Designing Fault-Counter for Object-Oriented Software using Bagging Technique
2023 · Sandeep Soumya Sekhar Mishra, Pratik Dutta, et al. · International Conference in Advances in Power, Signal, and Information Technology (APSIT)
Source Code Features Based Branch Coverage Prediction Using Ensemble Technique
2022 · Swadhin Kumar Barisal, Pushkar Kishore, et al. · Artificial intelligence-enhanced software and systems engineering
A Hybrid Positive-Unlabeled Learning Method for Malware Variants Detection
2021 · Alle Giridhar Reddy, Pushkar Kishore, et al. · Advances in intelligent systems and computing
Familial analysis of interface and program targeting noise contained malware using image processing
2020 · Pushkar Kishore, Swadhin Kumar Barisal, et al. · IEEE International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC)
Measuring MC/DC Coverage and Boolean Fault Severity of Object-Oriented Programs Using Concolic Testing
2020 · Swadhin Kumar Barisal, Pushkar Kishore, et al. · Smart innovation, systems and technologies
Interface for Eucalyptus Cloud Connecting Software
2017 · Pushkar Kishore
Works count: 25
Citation count: 58
H-index: 5
I10-index: 1
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