PUBLICATIONS

Journals

• A. M. Afif, B. P. Gond, S. Nandi, S. Ray, D. Bhoumik, and R. Majumdar, “Amplitude damping error on QKD: Effect and a probable bypass,” Modern Physics Letters A 38, no. 10n11, Published, 22nd July 2023 

Preprints

• B. P. Gond, PHM-MAX-XGBoost-LSTM-SVM: A Hybrid Model for Time Series Forecasting – A Comparative Analysis with Traditional and Modern Approaches, [DOI].

• B. P. Gond, Predicting Bad Goods Risk Scores with ARIMA Time Series: A Novel Risk Assessment Approach, [DOI].

• B. P. Gond, D. P. Mohapatra, Deep Learning-Driven Malware Classification with API Call Sequence Analysis and Concept Drift Handling, [DOI].

Book Chapter

• B. P. Gond and D. P. Mohapatra, System Calls for Malware Detection Methodologies and Applications" "Understanding Malware: Techniques for Detection and Mitigation on Windows and Android | HB ISBN 9781041094371.  Accepted

Dataset

• Malware Benign API Call Argument Feature Vector on Kaggle (2025), enabling dynamic malware detection using API call arguments. (DOI). 

• Malware Benign Image Classification Dataset on Kaggle (2025), supporting image-based malware classification research.  (DOI).  

Conferences

2025

• B. P. Gond, Md Shahnawaz, and D. P. Mohapatra, “Capturing Market Volatility: A Comparative Analysis of IBM TinyTimeMixers, Time Series Transformer, and ARIMA in Nifty 50 Forecasting,” 16th International Conference on Computing, Communication and Networking Technologies (ICCCNT), Indian Institute of Technology Indore, 6th July 2025.  Presented

• Md Shahnawaz, B. P. Gond, and D. P. Mohapatra, “Dynamic Malware Classification of Windows PE Files using CNNs and Greyscale Images Derived from Runtime API Call Argument Conversion,” 16th International Conference on Computing, Communication and Networking Technologies (ICCCNT), Indian Institute of Technology Indore, 6th July 2025.  Presented (DOI)

• Md Shahnawaz, B. P. Gond, and D. P. Mohapatra, “Malware Classification with n-gram Based NLP and Cosine Similarity" , 22nd Control Instrumentation Systems conference (CISCON 2025) Manipal Institute of Technology Manipal.  Accepted

2024

• B. P. Gond, A. K. Singh, and D. P. Mohapatra, “A Deep Learning Framework for Malware Classification using NLP Techniques”, 15th International Conference on Computing, Communication and Networking Technologies (ICCCNT), Indian Institute of Technology Mandi, 24th June 2024 (DOI).

•  B. P. Gond, Rajneekant, P. Kishore, and D. P. Mohapatra, “Malware Classification Leveraging NLP & Machine Learning for Enhanced Accuracy,” 4th International Conference on Machine Learning and Big Data Analytics (ICMLBDA), National Institute of Technology Kurukshetra, 11th May 2024. Presented, 11th May 2024 

• B. P. Gond, Md Shahnawaz, Rajneekant, and D. P. Mohapatra, “NLP-Driven Malware Classification: A Jaccard Similarity Approach,” IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS-2024), Vemana Institute of Technology, Bengaluru, 28-29th June 2024 (DOI) 

• Rajneekant, P. Kishore, B.P.Gond and Mohapatra, D. P. Mohapatra, “Malware Detector and Classifier using API Call Embedding and Graph Neural Networks,” International Conference on Innovations and Advances in Cognitive Systems (ICIACS), Builders Engineering College, Kangayam (DOI) 

• Rajneekant, P. Kishore, B. P. Gond and D. P. Mohapatra, ”Enhancing Malware Classification with Machine Learning: A Comparative Analysis of API Sequence-Based Techniques”, 2024 IEEE International Conference on Smart Power Control and Renewable Energy (ICSPCRE), National Institute of Technology Rourkela, Odisha, (DOI).