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pushkar kishore
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Nitrsct: A software security tool for collection and analysis of kernel calls
P Kishore, SK Barisal, S Vaish
TENCON 2019-2019 IEEE Region 10 Conference (TENCON), 510-515, 2019
112019
An incremental malware detection model for meta-feature api and system call sequence
P Kishore, SK Barisal, DP Mohapatra
2020 15th Conference on Computer Science and Information Systems (FedCSIS …, 2020
92020
Opcode and API based machine learning framework for malware classification
H Soni, P Kishore, DP Mohapatra
2022 2nd International Conference on Intelligent Technologies (CONIT), 1-7, 2022
72022
An efficient two-stage pipeline model with filtering algorithm for mislabeled malware detection
P Kishore, SK Barisal, DP Mohapatra, R Mall
Computers & Security 135, 103499, 2023
42023
Particle swarm optimized federated learning for securing IoT devices
P Kishore, SK Barisal, DP Mohapatra
2021 IEEE Globecom Workshops (GC Wkshps), 1-6, 2021
42021
Security improvement and privacy preservation in e-health
P Kishore, SK Barisal, KV Kumar, DP Mohapatra
ICC 2021-IEEE International Conference on Communications, 1-6, 2021
42021
A study on onion omega 2 plus IOT device in weather application
B Rajesh, PVP Kishore, ES Yadav, CR Srinivasan
Journal of Advanced Research in Dynamical and Control Systems 10 (3 Special …, 2018
42018
JavaScript malware behaviour analysis and detection using sandbox assisted ensemble model
P Kishore, SK Barisal, DP Mohapatra
2020 IEEE REGION 10 CONFERENCE (TENCON), 864-869, 2020
32020
Family Classification of Malicious Applications using Hybrid Analysis and Computationally Economical Machine Learning Techniques
P Kishore, SK Barisal, DP Mohapatra
2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and …, 2022
22022
Applying unsupervised system-call based software security techniques for anomaly detection
P Kishore, G Nayak, SK Barisal
Journal of Information and Optimization Sciences 43 (5), 915-922, 2022
12022
Concolic-Based Software Vulnerability Prediction Using Ensemble Learning
SK Barisal, P Kishore, G Nayak, RP Hira, R Kumar, R Kumar
Biologically Inspired Techniques in Many Criteria Decision Making …, 2022
12022
Familial analysis of malicious Android apps controlling IoT devices
S Maikap, P Kishore, SK Barisal, DP Mohapatra
International Conference on Internet of Things and Connected Technologies …, 2021
12021
Decentralized Controller for Software Interconnected System Subject to Malicious Attacks.
P Kishore, SK Barisal, DP Mohapatra
FedCSIS (Position Papers), 211-218, 2021
12021
ELM-MVD: An Extreme Learning Machine Trained Model for Malware Variants Detection
P Kishore, SK Barisal, AG Reddy, DP Mohapatra
Advances in Computing and Data Sciences: 4th International Conference …, 2020
12020
A Multi-Objective Based Genetic Approach for Increasing Crop Yield on Sustainable Farming
SK Barisal, G Nayak, B Mohanty, P Kishore, S Champati, A Tripathy
Sustainable Farming through Machine Learning, 34-50, 2024
2024
4 A Multi-Objective Based Genetic Approach
SK Barisal, G Nayak, B Mohanty, P Kishore, S Champati, A Tripathy
Sustainable Farming through Machine Learning: Enhancing Productivity and …, 2024
2024
Enhancing Malware Classification with Machine Learning: A Comparative Analysis of API Sequence-Based Techniques
P Kishore, BP Gond, DP Mohapatra
2024 IEEE International Conference on Smart Power Control and Renewable …, 2024
2024
Malware Detector and Classifier Using API Call Embedding and Graph Neural Networks
Rajneekant, P Kishore, BP Gond, DP Mohapatra
International Conference on Innovations and Advances in Cognitive Systems …, 2024
2024
Malware Detector and Classifier using API Call Embedding and Graph Neural Networks
P Kishore, BP Gond, DP Mohapatra
2024
Designing Fault-Counter for Object-Oriented Software using Bagging Technique
SSS Mishra, P Dutta, G Nayak, A Tripathy, P Kishore, SK Barisal
2023 International Conference in Advances in Power, Signal, and Information …, 2023
2023
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