TARU PUBLICATIONS
Journal of Discrete Mathematical Sciences and Cryptography cover
Hybrid ·Peer-reviewed·ISSN (Online): 2169-0065·ISSN (Print): 0972-0529

Monthly Journal: Publishes theoretical and applied research in all areas of Discrete Mathematical Sciences, Cryptography, Combinatorics, Elliptic Curves and Information Security.

Issues up to 2022 co-published with and available at:Taylor & Francis Online
submissions@tarupublications.com
Special Issue

Advances in Discrete Mathematics and Secure Network Technologies (Part-B)

Volume 29, Issue 2-B·February 2026·41 articles

Articles

Open Access Research Article·pp. i–ix·Vol. 29, Issue 2-BFeb 2026

Special Issue on Advances in Discrete Mathematics and Secure Network Technologies (Part-B)

Ramesh Chandra Poonia, Kamal Upreti, Sonali Gaur, Sheela Hundekari, Jyoti Parashar, Smriti Khanna, Soumi Ghosh, Anup Lal Yadav et al.

Published Online: 18 Feb 2026DOI: 10.47974/JDMSC-29-2-B-Foreword

In this paper: This special issue titled “Advances in Discrete Mathematics and Secure Network Technologies”, brings together a diverse and timely collection of research papers that highlight the strong convergence o...

AbstractFull Text PDF (138 KB)Views: 192Downloads: 85Citations: 0
Open Access Research Article·pp. 759–767·Vol. 29, Issue 2-BFeb 2026

AI-based cryptanalysis of classical and post-quantum encryption methods

Pradeep Kundlik Deshmukh, S. Kishore Verma, Pundlik Dattatray Jadhav, Sarvar Iskandarov Baltabaevich, Vandana Vijaykumar, Arun Khatri

Published Online: 31 Dec 2025DOI: 10.47974/JDMSC-2522

In this paper: The use of artificial intelligence (AI) in cryptanalysis has changed the way that both traditional and post-quantum encryption methods are evaluated. This research shows a complete plan that uses AI m...

AbstractReferencesFull Text PDF (621 KB)Views: 394Downloads: 99Citations: 0
Open Access Research Article·pp. 769–777·Vol. 29, Issue 2-BFeb 2026

Cryptanalysis of ciphers using machine learning

Pooja Bagane, Sonali Kothari, Ankur Goyal, Chahak Sengar, Sumedh Dongre, Siddharth Prabhakar

Published Online: 18 Feb 2026DOI: 10.47974/JDMSC-2527

In this paper: This paper focuses on the recognition of cipher encryption keys via machine learning, specifically Vigenère and Advanced Encryption Standard (AES) ciphers. It does this by analyzing pairs of plaintext...

AbstractReferencesFull Text PDF (453 KB)Views: 211Downloads: 75Citations: 0
Open Access Research Article·pp. 779–787·Vol. 29, Issue 2-BFeb 2026

Lightweight AI-supported ECC algorithms for security in IoT and edge devices

C.M. Anish, Archana Jadhav, Harshal N Datir, G. S. Mate, Anorgul Ashirova, Asha Rawat

Published Online: 31 Dec 2025DOI: 10.47974/JDMSC-2524

In this paper: As the number of IoT and edge devices develops swiftly, security solutions need to be both light and powerful. This study suggests using Elliptic Curve Cryptography (ECC) approaches that are supported...

AbstractReferencesFull Text PDF (313 KB)Views: 176Downloads: 86Citations: 0
Open Access Research Article·pp. 789–796·Vol. 29, Issue 2-BFeb 2026

Designing AI-driven information security protocols using discrete mathematical models

Priti C. Golar, Purushottam D. Shobhane, Sarvar Iskandarov Baltabaevich, Priya Karemore, Seema Kedar, Pragati Dubey

Published Online: 18 Feb 2026DOI: 10.47974/JDMSC-2525

In this paper: This study uses advanced artificial intelligence (AI) methods and discrete mathematical models to show a new way to create information security measures. Using vector measure spaces, orthogonal sets,...

AbstractReferencesFull Text PDF (375 KB)Views: 153Downloads: 53Citations: 0
Open Access Research Article·pp. 797–806·Vol. 29, Issue 2-BFeb 2026

CyberCraft : Encryption and decryption tool for images using AES, DES, and chaotic logistic map

Pooja Bagane, Sonali Kothari, Ankur Goyal, Krisha Joshi, Mudit Garg, Nandita Namboodiri, P. Karthik Krishna

Published Online: 13 Feb 2026DOI: 10.47974/JDMSC-2526

In this paper: This work demonstrates a comprehensive study in the field of image encryption with varied techniques adopted which includes Chaotic Logistic Map, DES (Data Encryption Standard) and AES (Advanced Encry...

AbstractReferencesFull Text PDF (609 KB)Views: 146Downloads: 93Citations: 0
Open Access Research Article·pp. 807–815·Vol. 29, Issue 2-BFeb 2026

Graph-driven side-channel attack detection using ai and discrete math

Ganesh Dagadu Puri, Sachin Arun Thanekar, Deepali Mahesh Gohil, Rina Suresh Patil, Anuja Gaikwad

Published Online: 12 Feb 2026DOI: 10.47974/JDMSC-2523

In this paper: By combining graph-theoretic modelling and artificial intelligence methods, this study shows a new way to find side-channel attacks.  Data from the side channels is shown as graphs that show the conne...

AbstractReferencesFull Text PDF (454 KB)Views: 167Downloads: 68Citations: 0
Open Access Research Article·pp. 817–826·Vol. 29, Issue 2-BFeb 2026

AI in enhancing cybersecurity incident response

Pooja Bagane, Sonali Kothari, Ankur Goyal, Prisha Patel, Sakshi Chauhan, Shaurya Gupta, Tawishi Gupta

Published Online: 12 Feb 2026DOI: 10.47974/JDMSC-2528

In this paper: With new threats emerging all over the place, the capability to assess and address an advanced threat has become paramount to the health and longevity of organizations. AI provides a potent capacity i...

AbstractReferencesFull Text PDF (1.0 MB)Views: 175Downloads: 100Citations: 0
Open Access Research Article·pp. 827–837·Vol. 29, Issue 2-BFeb 2026

Recent developments and emerging trends : Authentication and access control for mobile IoT devices using biometric features

Monika Vishwakarma, Suparn Padma Patra, Pragya Vaishnav

Published Online: 13 Feb 2026DOI: 10.47974/JDMSC-2529

In this paper: The expansion of mobile IoT (Internet of Things) devices has brought new urgency to securing ecosystems, and biometric authentication is increasingly central to this effort. Biometrics provides a uniq...

AbstractReferencesFull Text PDF (166 KB)Views: 136Downloads: 77Citations: 0
Open Access Research Article·pp. 839–847·Vol. 29, Issue 2-BFeb 2026

Addressing quantum threats to cryptographic security systems with advanced quantum-resistant algorithms

Sunil Thakur, Lowlesh Yadav, Kanwar Tushar Punj, Yamini Sood, Varsha Kiran Bhosale, Suman Kumar Swarnkar

Published Online: 31 Dec 2025DOI: 10.47974/JDMSC-2534

In this paper: The fact that modern cryptographic systems are susceptible to a significant attack from quantum computing which solves complex mathematical problem exponentially faster than the classical scheme of co...

AbstractReferencesFull Text PDF (268 KB)Views: 160Downloads: 97Citations: 0
Open Access Research Article·pp. 849–856·Vol. 29, Issue 2-BFeb 2026

Investigating discrete structures in network algorithms for optimizing traffic flow and reducing congestion in urban areas

Neha Tuli, Rajesh Phursule, Shivangi Bansal, Bhushan Marutirao Nanche, Shivanshu Katoch, Ashish Raina

Published Online: 31 Dec 2025DOI: 10.47974/JDMSC-2535

In this paper: The common phenomenon of urban traffic congestion leads to the loss of time as well as pollution, which consequently affects the environment. We introduce here a new approach, which is called Discrete...

AbstractReferencesFull Text PDF (263 KB)Views: 141Downloads: 62Citations: 0
Open Access Research Article·pp. 857–865·Vol. 29, Issue 2-BFeb 2026

Enhancing wireless network performance using discrete structures and graph theory for efficient data transmission and routing

Kishore Kumar, Mayuri Meshram, Amit Gaurav, Satnam Singh, Anupma Gupta, Ferdinnad M. Magtibay

Published Online: 31 Dec 2025DOI: 10.47974/JDMSC-2536

In this paper: Modern communication depends on wireless networks, which allow data to be transmitted across multiple devices and sites. Still, efficiently passing data through such networks is a major problem due to...

AbstractReferencesFull Text PDF (224 KB)Views: 139Downloads: 83Citations: 0
Open Access Research Article·pp. 867–876·Vol. 29, Issue 2-BFeb 2026

Application of advanced algebraic structures in cryptography to improve security protocols in decentralized network systems

Vipan Kumar, Priya B. Dasarwar, Suraj Bhan, Jahid Ali, Suman Kumar Swarnkar, Anita Yadav

Published Online: 16 Feb 2026DOI: 10.47974/JDMSC-2537

In this paper: Such decentralized network systems as blockchain and peer-to-peer networks have become more and more essential for secure data transmission and management. However, conventional cryptographic protocol...

AbstractReferencesFull Text PDF (441 KB)Views: 152Downloads: 92Citations: 0
Open Access Research Article·pp. 877–884·Vol. 29, Issue 2-BFeb 2026

Exploring the integration of discrete mathematics and applied algebra in designing robust network architectures for IoT

Navnath B. Pokale, Paul Praveen, Yamini Sood, Vipan Kumar, Nirmalrani Vairaperumal, V. Krishna Vijaya

Published Online: 16 Feb 2026DOI: 10.47974/JDMSC-2538

In this paper: The rapid growth of the Internet of Things (IoT) has introduced problems of network strength, security, and efficient data management. Classic architectures of IoT are frequently lacking in the mathem...

AbstractReferencesFull Text PDF (288 KB)Views: 98Downloads: 56Citations: 0
Open Access Research Article·pp. 885–893·Vol. 29, Issue 2-BFeb 2026

Utilizing discrete structure and applied algebra to model and analysis network resilience against cyber attack

Shilpa Sharma, Monika Sharma, Vaibhav Bhavnagar, Rekha Jain

Published Online: 31 Dec 2025DOI: 10.47974/JDMSC-2539

In this paper: This paper offers a novel method for modeling and assessing network resilience against cyber-attacks by utilizing discrete structures and algebraic techniques. Utilizing edge and node representations...

AbstractReferencesFull Text PDF (358 KB)Views: 111Downloads: 86Citations: 0
Open Access Research Article·pp. 895–904·Vol. 29, Issue 2-BFeb 2026

Geometric and algebraic machine learning methods in computer graphics and vision systems

Meena Rani, Tarandeep Kaur, Paramita Sarkar, MVV Prasad Kantipudi, Priyanka Gupta, R. S. M. Lakshmi Patibandla

Published Online: 12 Feb 2026DOI: 10.47974/JDMSC-2540

In this paper: Computer vision and image processing are the subjects of this study, which investigates geometric and algebraic machine learning. Our ability to extract features and add data is facilitated by the use...

AbstractReferencesFull Text PDF (501 KB)Views: 297Downloads: 80Citations: 0
Open Access Research Article·pp. 905–912·Vol. 29, Issue 2-BFeb 2026

Developing novel theorems in graph theory for computational algorithm enhancement

Tanveer Ahmad Wani, Pradnya Borkar, Rupali Suraskar, J. Jabez, V Mamatha, Divya Sharma

Published Online: 31 Dec 2025DOI: 10.47974/JDMSC-2541

In this paper: Graph theory has been a long time tool for the basis of efficient algorithms in many computational domains such as routing, social network analysis and optimization. Traditional methods, however, tend...

AbstractReferencesFull Text PDF (461 KB)Views: 140Downloads: 98Citations: 0
Open Access Research Article·pp. 913–921·Vol. 29, Issue 2-BFeb 2026

Enhancing cryptographic security through zero-knowledge proofs in theoretical mathematics

Dharmesh Dhabliya, Aditya Lavhale, Sunil Thakur, R. M. Gomathi, Amit Kumar, Sayantani De

Published Online: 31 Dec 2025DOI: 10.47974/JDMSC-2542

In this paper: In modern cryptography, improving the cryptographic security of Zero-Knowledge Proofs (ZKP) has become a compelling trend. Traditional models like the zk-SNARK and zk-STARK has shown strong security b...

AbstractReferencesFull Text PDF (250 KB)Views: 195Downloads: 82Citations: 0
Open Access Research Article·pp. 923–931·Vol. 29, Issue 2-BFeb 2026

Quantum machine learning : Developing hybrid quantum-classical algorithms for enhanced computational power

Rina Suresh Patil, Alpana Prashant Adsul, Sonam Singh Bhati, Vivek Deshpande, Payala Krishnanjaneyulu, Edupuganti Mounika

Published Online: 31 Dec 2025DOI: 10.47974/JDMSC-2543

In this paper: The increasing need for machine learning to run with less computer resources is causing quantum computing to be considered as a viable substitute for conventional computing. This paper presents a hybr...

AbstractReferencesFull Text PDF (551 KB)Views: 137Downloads: 77Citations: 0
Open Access Research Article·pp. 933–941·Vol. 29, Issue 2-BFeb 2026

Enhancing network security protocols with discrete mathematics application methods

Chetan Kumar Sharma, Deepak Suresh Asudani, Rupali Suraskar, Kapil Gupta, Nidhi Dua, P. Ajitha

Published Online: 31 Dec 2025DOI: 10.47974/JDMSC-2544

In this paper: Recent network environments are exposed to expanding threats that question the integrity of the conventional cryptographic processes. Conventional systems including RSA and ECC are effective but show...

AbstractReferencesFull Text PDF (330 KB)Views: 194Downloads: 77Citations: 0
Open Access Research Article·pp. 943–951·Vol. 29, Issue 2-BFeb 2026

Security challenges in mobile ad hoc networks investigating vulnerabilities and proposing robust solutions for secure communication

Shilpa Choudhary, K. Shanti, Tanya Singh, Gurunath T. Chavan, Rajesh Suresh Bulbule, Amol Dattatray Sonawane

Published Online: 31 Dec 2025DOI: 10.47974/JDMSC-2545

In this paper: MANETs enable ad hoc wireless networking in unstructured and constantly changing environments. As a result, MANETs face a variety of security challenges associated with their lack of centralized contr...

AbstractReferencesFull Text PDF (217 KB)Views: 219Downloads: 87Citations: 0
Open Access Research Article·pp. 953–960·Vol. 29, Issue 2-BFeb 2026

Practical implementations of homomorphic encryption examining performance and security in real-world privacy-preserving applications

Ambuj Kumar Agarwal, Pooja, Mukesh Joshi, Snehlata Sheoran, Latha Banda, Garima Saini

Published Online: 31 Dec 2025DOI: 10.47974/JDMSC-2546

In this paper: Homomorphic Encryption (HE) makes it possible to compute on encrypted data without decrypting, thereby enabling secure data analysis. The goal of this research is to evaluate the use of HE schemes lik...

AbstractReferencesFull Text PDF (297 KB)Views: 252Downloads: 70Citations: 0
Open Access Research Article·pp. 961–970·Vol. 29, Issue 2-BFeb 2026

Applications of discrete mathematics in developing intelligent AI systems

Chithirai Pon Selvan, Vijay S. Gulhane, Rupali Gangarde, Saurabh Saoji, Nazokat Tukhtaeva, Hrishikesh Meghanath Bhagat

Published Online: 16 Feb 2026DOI: 10.47974/JDMSC-2547

In this paper: Many clever AI systems are built on discrete mathematics, which allows for exact modelling, reasoning, and optimisation.  This essay looks at some important discrete mathematical ideas, like logic, al...

AbstractReferencesFull Text PDF (583 KB)Views: 146Downloads: 71Citations: 0
Open Access Research Article·pp. 971–978·Vol. 29, Issue 2-BFeb 2026

ML-based verification systems using discrete mathematical models

Nilesh M Pawar, Raju M Sairise, Priya Karemore, Archana Jadhav, Dilmurod Turaev, Samir N. Ajani

Published Online: 13 Feb 2026DOI: 10.47974/JDMSC-2548

In this paper: Verification systems are very important for making sure that computer processes are correct and reliable in many areas, such as hacking, software validation, and data quality checks. This study shows...

AbstractReferencesFull Text PDF (416 KB)Views: 144Downloads: 75Citations: 0
Open Access Research Article·pp. 979–986·Vol. 29, Issue 2-BFeb 2026

Quantum cryptography assessing the security and practicality of quantum key distribution in modern communication networks

Abha Kiran Rajpoot, Dharmesh Dhabliya, V. N. Trupti, Tanveer Ahmad Wani, Kapil Gupta, L. Lakshmanan

Published Online: 18 Feb 2026DOI: 10.47974/JDMSC-2549

In this paper: The increasing number of cyber threats and the approaching development of quantum computing demand a critical review of existing cryptographic approaches. The goal of this work is to evaluate the secu...

AbstractReferencesFull Text PDF (408 KB)Views: 193Downloads: 80Citations: 0
Open Access Research Article·pp. 987–994·Vol. 29, Issue 2-BFeb 2026

AI-driven graph coloring for frequency assignment in wireless networks

Gyoo Soo Chae

Published Online: 18 Feb 2026DOI: 10.47974/JDMSC-2551

In this paper: To keep disturbance to a minimum and make the best use of the airwaves, wireless networks need to give frequencies efficiently.  To solve the frequency assignment problem well, this study suggests an...

AbstractReferencesFull Text PDF (468 KB)Views: 124Downloads: 89Citations: 0
Open Access Research Article·pp. 995–1004·Vol. 29, Issue 2-BFeb 2026

Leveraging formal languages and automata theory in natural language processing (NLP)

Smita Gambhire, Archana R. Panhalkar, Dipali Himmatrao Patil, Seema Kedar, Malayaj Kumar, Brijeshkumar Y. Panchal

Published Online: 18 Feb 2026DOI: 10.47974/JDMSC-2552

In this paper: Formal languages and automata theory are very important for handling and understanding real languages.  This paper discuss about basic automata models, such as finite automata and finite-state transdu...

AbstractReferencesFull Text PDF (421 KB)Views: 215Downloads: 68Citations: 1
Open Access Research Article·pp. 1005–1012·Vol. 29, Issue 2-BFeb 2026

Discrete mathematical approaches to blockchain consensus algorithms and security

Vaishali Bhange, Priti Shende

Published Online: 18 Feb 2026DOI: 10.47974/JDMSC-2553

In this paper: In this study we used how discrete mathematics can be used to make blockchain technology safer and more reliable in this paper. Foundational ideas from number theory and graph theory are used to model...

AbstractReferencesFull Text PDF (366 KB)Views: 109Downloads: 60Citations: 0
Open Access Research Article·pp. 1013–1021·Vol. 29, Issue 2-BFeb 2026

Enhancing RSA security : Analyzing vulnerabilities and mitigation strategies using machine learning and trigonometric functions

Kunaal Shirish Shindagi, Abhilasha Jayakkanavar, Bharateesh Fadanis, Prakash K. Sonwalkar, Vani Hiremani, Ankur Goyal

Published Online: 18 Feb 2026DOI: 10.47974/JDMSC-2554

In this paper: RSA has long been trusted for secure digital communication, but increasing threats and advances, such as AI and quantum technology, expose vulnerabilities. This paper reexamines RSA’s current weakness...

AbstractReferencesFull Text PDF (526 KB)Views: 183Downloads: 82Citations: 0
Open Access Research Article·pp. 1023–1032·Vol. 29, Issue 2-BFeb 2026

Entropy diagnostics for cryptographic key material from random circuit sampling

Eby Sebastian, Ramesh Chandra Poonia

Published Online: 18 Feb 2026DOI: 10.47974/JDMSC-2641

In this paper: Random Circuit Sampling (RCS) has emerged as a leading paradigm for demonstrating quantum advantage. Beyond computational complexity, RCS provides a high-dimensional, chaotic probability distribution...

AbstractReferencesFull Text PDF (670 KB)Views: 128Downloads: 87Citations: 0
Open Access Research Article·pp. 1033–1040·Vol. 29, Issue 2-BFeb 2026

Exploring advanced data security challenges and solutions in intelligent network substation

Anindita Khade, Anand B. Deshmukh, Gayatri Mirajkar, Ganesh Jorvekar, Prolay Ghosh, Sarvar Iskandarov Baltabaevich

Published Online: 18 Feb 2026DOI: 10.47974/JDMSC-2642

In this paper: Modern smart grids are held together by intelligent network substations that allow data to be sent and received in real time, tracking to be done from afar, and decisions to be made automatically. But...

AbstractReferencesFull Text PDF (414 KB)Views: 196Downloads: 103Citations: 0
Open Access Research Article·pp. 1041–1048·Vol. 29, Issue 2-BFeb 2026

Utilizing game theory to develop innovative applications for enhancing communication system

Vaishali Latke, Archana R. Panhalkar, G. S. Mate, Dipali Himmatrao Patil, Sardor Sabirov, Alaknanda S. Patil

Published Online: 18 Feb 2026DOI: 10.47974/JDMSC-2643

In this paper: The purpose of this paper’s study is to discover how game theory might be applied to develop innovative approaches for enhancing communication strategies. The research offers a strategic framework tha...

AbstractReferencesFull Text PDF (412 KB)Views: 138Downloads: 74Citations: 0
Open Access Research Article·pp. 1049–1057·Vol. 29, Issue 2-BFeb 2026

Implementing adaptive security measures in intelligent networks within the gaming industry to prevent cyber threats

Yazdani Hasan, Sujata Arya, Varinder Singh Rana, Ganesh Bhutkar, Thokala Venkata Subba Rao, B. Kalyani

Published Online: 16 Feb 2026DOI: 10.47974/JDMSC-2644

In this paper: Smart networks are being utilized increasingly more for real-time data processing and user interactions because online gaming has evolved so swiftly. This paper examines how flexible security techniqu...

AbstractReferencesFull Text PDF (357 KB)Views: 114Downloads: 90Citations: 0
Open Access Research Article·pp. 1059–1066·Vol. 29, Issue 2-BFeb 2026

Application of quantum computing for optimization in cryptographic protocols within information transmission

V. Naga Prudhvi Raj, Asha Abraham Chandi, Amit Singh, Vivek Kumar, M. Ramesh Kumar, K.D.V. Prasad

Published Online: 18 Feb 2026DOI: 10.47974/JDMSC-2645

In this paper: The rise of quantum computing changes both the possibilities and difficulties for encryption systems. Quantum algorithms like Shor’s and Grover’s make it easier to do maths, which means they can be us...

AbstractReferencesFull Text PDF (417 KB)Views: 189Downloads: 90Citations: 0
Open Access Research Article·pp. 1067–1075·Vol. 29, Issue 2-BFeb 2026

Designing robust cybersecurity measures using optimization techniques in enterprise information

Manoj Kumar Srivastava, Vivek Kumar, Lalit Agrawal, I. M. Christina Febiula, Asha Abraham Chandi, Nishith Singh

Published Online: 18 Feb 2026DOI: 10.47974/JDMSC-2646

In this paper: Businesses are facing new online dangers because their IT systems are getting more complicated. To protect themselves, they need strong, flexible, and resource-efficient defences. This paper looks at...

AbstractReferencesFull Text PDF (359 KB)Views: 165Downloads: 47Citations: 0
Open Access Research Article·pp. 1077–1085·Vol. 29, Issue 2-BFeb 2026

Real-time cyber threats and unauthorized access detection using embedded AI

K. N. Raja Praveen, Durga Prasad Yadav, Anuradha V. Yenkikar, Jambi Ratna Raja Kumar, Senduru Srinivasulu, Smita Desai

Published Online: 11 Feb 2026DOI: 10.47974/JDMSC-2647

In this paper: Because online dangers are getting smarter, we need more advanced ways to find and stop them in real time. The idea in this study is to use integrated AI to find harmful behaviour and unauthorized ent...

AbstractReferencesFull Text PDF (412 KB)Views: 171Downloads: 55Citations: 0
Open Access Research Article·pp. 1087–1095·Vol. 29, Issue 2-BFeb 2026

Performance evaluation of wireless sensor networks using adaptive clustering and homomorphic polynomial encryption schemes

Linesh Raja, C. S. Lamba, Puneet Chandra Verma, Vishal Sharma, Honey Gochar, Shilpa Sharma, Chandrashekhar Patel

Published Online: 04 Feb 2026DOI: 10.47974/JDMSC-2648

In this paper: In the field of Wireless Sensor Networks efficient power management and secure communication is a serious challenge. This research article presents the combined approach of adaptive cluster head rotat...

AbstractReferencesFull Text PDF (534 KB)Views: 160Downloads: 76Citations: 0
Open Access Research Article·pp. 1097–1106·Vol. 29, Issue 2-BFeb 2026

Transforming network security through zero trust architecture : Principles, challenges, and future directions

Rekha Jain, Bhoomika Batra, Budesh Kanwer, Linesh Raja, Vaibhav Bhavnagar

Published Online: 31 Dec 2025DOI: 10.47974/JDMSC-2649

In this paper: Given the continued expansion of cyber threats; such perimeter-based resistance traditional security strategies have proven to be inadequate. No one is trusted by default, either inside or outside the...

AbstractReferencesFull Text PDF (214 KB)Views: 281Downloads: 100Citations: 0
Open Access Research Article·pp. 1107–1115·Vol. 29, Issue 2-BFeb 2026

A framework for secure cloud operations via homomorphic encryption and euclidean biometric matching

Ritik Mittal, Pradeep Kumar, Kuntal Gaur

Published Online: 31 Dec 2025DOI: 10.47974/JDMSC-2650

In this paper: In the evolving landscape of secure cloud automation, this paper introduces a novel AI-driven framework that integrates homomorphic encryption (HE), facial biometric authentication, and encrypted voic...

AbstractReferencesFull Text PDF (133 KB)Views: 128Downloads: 82Citations: 0
Open Access Research Article·pp. 1117–1124·Vol. 29, Issue 2-BFeb 2026

Graph isomorphism algorithms using group theory in social network analysis

Zahir Aalam, Sangeeta Vhatkar, Rupali Mane, Sukruti Kaulgud, Asmita Bhupesh Marathe, Anand Arvind Maha

Published Online: 11 Feb 2026DOI: 10.47974/JDMSC-2651

In this paper: In the social network study the graph isomorphism is fundamental issue in computation of graphs network. In this paper we examine the early identification of isomorphic structure to sole the complex n...

AbstractReferencesFull Text PDF (446 KB)Views: 226Downloads: 90Citations: 0
Open Access Research Article·pp. 1125–1134·Vol. 29, Issue 2-BFeb 2026

Secure and transparent artificial intelligence through uncertainty-infused algebraic frameworks

Bagesh Kumar, Jeba Nega Cheltha, Praveen Kumar Yadav, Manish Kumar Sharma, Pankaj Dadheech, Shyam Sunder Manaktala

Published Online: 16 Feb 2026DOI: 10.47974/JDMSC-2652

In this paper: Explainable Artificial Intelligence (XAI) increasingly demands mathematically grounded frameworks that not only enhance transparency and interpretability but also ensure computational security and tru...

AbstractReferencesFull Text PDF (868 KB)Views: 201Downloads: 80Citations: 0