TARU PUBLICATIONS
Author

Amit Kumar Gupta

Department of Computer Science & Engineering, Faculty of Science, Technology and Architecture (FoSTA), Manipal University Jaipur, Jaipur, Rajasthan, 303007, India

Published papers
10
Citations
10
Views
3,176
Downloads
901

Publications

10 papers
Open Access Research Article·pp. 3085–3093·Vol. 29, Issue 8Aug 2026

Discrete mathematical modeling–driven machine learning framework for secure encrypted DDoS attack detection in cloud and edge computing

Manmohan Sharma, Anudeep Arora, Priya Mathur, Saloni Bhushan, Amit Kumar Gupta

Published Online: 14 Aug 2026DOI: 10.47974/JDMSC-2693

In this paper: Distributed denial-of-service (DDoS) attacks causes significant threats in modern cloud and edge computing because of complex traffic patterns that intricate attack detection. Traditional methods have...

AbstractReferencesFull Text PDF (658 KB)Views: 177Downloads: 113Citations: 0
Open Access Research Article·pp. 3137–3147·Vol. 29, Issue 8Aug 2026

A discrete mathematical framework for network intrusion detection with applications to cryptographic network security

Ajay Kumar, Amit Kumar Gupta, Priya Mathur, Chaitanya Singh, Vipin Tiwari

Published Online: 14 Aug 2026DOI: 10.47974/JDMSC-2698

In this paper: As computer networks expand, robust Intrusion Detection Systems (IDS) are crucial. Traditional methods struggle with zero-day attacks and lack interpretability. This study uses the NSL-KDD dataset and...

AbstractReferencesFull Text PDF (688 KB)Views: 147Downloads: 117Citations: 0
Open Access Research Article·pp. 3219–3227·Vol. 29, Issue 8Aug 2026

Security analysis of cryptographic Boolean functions using a discrete mathematical model and machine learning

Priya Mathur, Kusum Lata Jain, Meenakshi Nawal, Neeraj, Amit Kumar Gupta

Published Online: 14 Aug 2026DOI: 10.47974/JDMSC-2748

In this paper: Cryptographic security of symmetric primitives relies on the discrete mathematical properties of Boolean functions and S-boxes. While machine learning (ML) has shown effectiveness in cryptanalysis, ma...

AbstractReferencesFull Text PDF (570 KB)Views: 140Downloads: 146Citations: 0
Open Access Research Article·pp. 1473–1486·Vol. 28, Issue 5-AAug 2025

A discrete mathematical model and cryptography for secure medical image analysis : Encrypted chest X-ray classification

Ajit Noonia, Deepti Thakral, Priya Mathur, Farhan Sheth, Hammad Shaikh, Amit Kumar Gupta

Published Online: 30 Aug 2025DOI: 10.47974/JDMSC-2146

In this paper: This research presents a privacy-preserving approach to chest X-ray image classification utilizing deep learning techniques integrated with Advanced Encryption Standard (AES) encryption and Fully Homo...

AbstractReferencesFull Text PDF (509 KB)Views: 339Downloads: 91Citations: 0
Open Access Research Article·pp. 1621–1638·Vol. 28, Issue 5-AAug 2025

Robust cybersecurity through discrete and large language models for effective phishing attack detection

Dinesh Goyal, Anil Kumar, Priya Mathur, Farhan Sheth, Amit Kumar Gupta

Published Online: 30 Aug 2025DOI: 10.47974/JDMSC-2162

In this paper: This study explores the efficacy of four Large Language Models (LLMs)—BERT, DistilBERT, RoBERTa, and DeBERTa—in classifying URLs as either legitimate or phishing. The research methodology is structure...

AbstractReferencesFull Text PDF (639 KB)Views: 317Downloads: 82Citations: 0
Open Access Research Article·pp. 569–599·Vol. 27, Issue 2-BMar 2024

Discrete mathematical models for enhancing cybersecurity : A mathematical and statistical analysis of machine learning approaches in phishing attack detection

Dinesh Goyal, Farhan Sheth, Priya Mathur, Amit Kumar Gupta

Published Online: 11 Apr 2024DOI: 10.47974/JDMSC-1893

In this paper: This paper presents a discreate mathematical modelling of cybersecurity phishing attack detection methodologies, emphasizing the crucial role of continual advancements in detection methods amidst the...

AbstractReferencesFull Text PDF (1.5 MB)Views: 480Downloads: 64Citations: 2
Open Access Research Article·pp. 317–342·Vol. 27, Issue 2Mar 2024

Deep insight : Mathematical modeling and statistical analysis for mango leaf disease classification using advanced deep learning models

Priya Mathur, Farhan Sheth, Dinesh Goyal, Amit Kumar Gupta

Published Online: 19 Mar 2024DOI: 10.47974/JIM-1830

In this paper: This paper presents a comprehensive investigation into the mathematical modeling and statistical analysis of classification of mango leaf diseases employing state-of-the-art Deep Learning models. The...

AbstractReferencesFull Text PDF (1.7 MB)Views: 398Downloads: 62Citations: 3
Open Access Research Article·pp. 1519–1533·Vol. 26, Issue 5Aug 2023

Operating system security with discrete mathematical structure for secure round robin scheduling method with intelligent time quantum

Anil Kumar, Amit Kumar Gupta, Deepak Panwar, Sandeep Chaurasia, Dinesh Goyal

Published Online: 09 Sep 2023DOI: 10.47974/JDMSC-1816

In this paper: These days, the problems of scheduling and security are increasingly pressing as a result of the rapidly growing number of implementations that are operated in operating systems. Process scheduling an...

AbstractReferencesFull Text PDF (489 KB)Views: 496Downloads: 76Citations: 0
Open Access Research Article·pp. 1499–1517·Vol. 26, Issue 5Aug 2023

An efficient approach to secure smart contract of Ethereum blockchain using hybrid security analysis approach

Satpal Singh Kushwaha, Sandeep Joshi, Amit Kumar Gupta

Published Online: 09 Sep 2023DOI: 10.47974/JDMSC-1815

In this paper: The technology behind blockchain is quickly becoming one of the most crucial innovations in recent years. The Smart contracts are digital agreements, made in between two untrusted parties. Smart contr...

AbstractReferencesFull Text PDF (1.5 MB)Views: 317Downloads: 66Citations: 3
Open Access Research Article·pp. 551–562·Vol. 26, Issue 3Apr 2023

Mathematical modeling of intelligent system for predicting effectiveness of premenstrual syndrome

Ruchi Joshi, Priya Mathur, Amit Kumar Gupta, Suyesha Singh, Vismita Paliwal, Sejal Nayar

Published Online: 01 Apr 2023DOI: 10.47974/JIM-1681

In this paper: Majority of reproductive-aged women experience some form of physical discomfort or emotional unease in the weeks leading up to the onset of menstruation. The symptoms are often not severe, but they ca...

AbstractReferencesFull Text PDF (1.1 MB)Views: 365Downloads: 84Citations: 2