TARU PUBLICATIONS
Journal of Information and Optimization Sciences cover
Hybrid ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667

WoS  JIF 2026 : 0.4 (Q4)

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Monthly Journal: Publishes theoretical and applied research on topics in information and optimization sciences.

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

About the Journal

Monthly Journal: Publishes theoretical and applied research on topics in information and optimization sciences.

Aims & Scope

The Journal of Information and Optimization Sciences (JIOS) is a world leading journal publishing high quality, rigorously peer-reviewed original research in all mathematically-oriented theoretical and applied topics in information sciences, optimization sciences and related areas since 1980. Subjects include but are not limited to:
• Information Sciences
• Optimization Sciences
• Control Theory
• Operational Research
• Decision Sciences
• Information Theory
• Information Technology
• Computer Networks and Communications
• Mathematical Programming
• Modelling and Simulation
• Database Management
• Applications to Engineering Sciences
• Applications to Technology

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Volume 47, Issue 8 · August 2026 · Special Issue

Open Access ·pp. 1–7·Vol. 47, Issue 8Aug 2026

Special Issue on Intelligent Computational Frameworks for Secure Cyber-Physical Systems, Blockchain, Artificial Intelligence, and Next-Generation Communication Networks

Priya Mathur, Amit Kumar Gupta, Carlos M. Travieso-Gonzalez

Published Online: 31 Aug 2026DOI: 10.47974/JIOS-47-8-Foreword

In this paper: This special issue titled “Intelligent Computational Frameworks for Secure Cyber-Physical Systems, Blockchain, Artificial Intelligence, and Next-Generation Communication Networks” brings together cutt...

AbstractFull Text PDF (118 KB)Views: 119Downloads: 98Citations: 0
Open Access Research Article·pp. 2847–2855·Vol. 47, Issue 8Aug 2026

HATS : Hybrid adaptive transform selection for wavelet-enhanced OTFS in sparse IoT communications

Karthik Kasu, Y. Raghavender Rao

Published Online: 31 Aug 2026DOI: 10.47974/JIOS-2205

In this paper: The fast expansion of Internet of Things (IoT) networks operating in healthcare settings and low-power environments requires robust communication systems which maintaintheir performance in sparse and...

AbstractReferencesFull Text PDF (405 KB)Views: 76Downloads: 65Citations: 0
Open Access Research Article·pp. 2857–2865·Vol. 47, Issue 8Aug 2026

AI-driven framework for adaptive resource allocation and channel selection in V2X communication

B. Vishwanath, P. Chandrasekhar Reddy

Published Online: 31 Aug 2026DOI: 10.47974/JIOS-2206

In this paper: The Vehicle-to-Everything (V2X) communication system allows vehicles to share data instantly with other vehicles, infrastructure and pedestrians, which is necessary for autonomous driving and intellig...

AbstractReferencesFull Text PDF (535 KB)Views: 67Downloads: 61Citations: 0
Open Access Research Article·pp. 2867–2876·Vol. 47, Issue 8Aug 2026

Adaptive multi-resource covert communication framework for embedded and distributed learning systems

Naveen Kulkarni, Mohamed Anees, M. Jyothirmai, A. Pratima, Kondru Ayyappa Swamy, T. S. Deepthi Murthy

Published Online: 31 Aug 2026DOI: 10.47974/JIOS-2360

In this paper: Modern computing environments, such as embedded systems and distributed learning environments, exhibit stochastic and dynamic behavior due to effects such as dynamic voltage and frequency scaling (DVF...

AbstractReferencesFull Text PDF (550 KB)Views: 116Downloads: 62Citations: 0
Open Access Research Article·pp. 2877–2889·Vol. 47, Issue 8Aug 2026

Malware detection using machine learning

Gauri Dhongade, Omprakash Chandrakar, Rajeshree Khande

Published Online: 31 Aug 2026DOI: 10.47974/JIOS-2209

In this paper: In this era of Artificial Intelligence and huge online activities, safeguarding sensitive data and protecting personal information is essential in this era. Cyber-attacks can cause the monetary loss a...

AbstractReferencesFull Text PDF (552 KB)Views: 77Downloads: 50Citations: 0
Open Access Research Article·pp. 2891–2902·Vol. 47, Issue 8Aug 2026

An optimization-driven reinforcement learning with vision transformer generative adversarial network for medical image reconstruction

Priyanka Sharma, Bright Keswani

Published Online: 31 Aug 2026DOI: 10.47974/JIOS-2210

In this paper: The diagnosis of cerebral diseases often requires imaging to assess the state of the brain. Magnetic resonance imaging (MRI) is routinely used to detect brain disorders. However, the obtained MR image...

AbstractReferencesFull Text PDF (707 KB)Views: 64Downloads: 57Citations: 0
Open Access Research Article·pp. 2903–2916·Vol. 47, Issue 8Aug 2026

Optimizing network security response through graph-based detection of suspicious activities and recovery strategies

Y. M. Manjunath, H. L. Parashivamurthy, S. Girish Babu, G. Manjunath

Published Online: 31 Aug 2026DOI: 10.47974/JIOS-2233

In this paper: This paper presents a graph-based method of identifying suspicious activities and improving recovery efforts in response to the increasing complexity of network security threats. The proposed approach...

AbstractReferencesFull Text PDF (884 KB)Views: 90Downloads: 58Citations: 0
Open Access Research Article·pp. 2917–2929·Vol. 47, Issue 8Aug 2026

Secure and optimized ViT–Trans GAN architecture: A mathematical modeling approach for encrypted MRI brain image reconstruction

Priyanka Sharma, Bright Keswani

Published Online: 31 Aug 2026DOI: 10.47974/JIOS-2234

In this paper: The growing use of Magnetic Resonance Imaging (MRI) in brain disorder diagnosis requires reliable methods for both data security and image quality preservation during transmission and storage. To addr...

AbstractReferencesFull Text PDF (537 KB)Views: 47Downloads: 51Citations: 0
Open Access Research Article·pp. 2931–2938·Vol. 47, Issue 8Aug 2026

Hybrid-IDPS for IoT networks : A feature-augmented approach to anomaly detection

Sushama, Shuchita Vaidya, Surbhi Sharma, Prashant Vats, Anudeep Arora

Published Online: 31 Aug 2026DOI: 10.47974/JIOS-2235

In this paper: The rapid growth of IoT networks has expanded the attack surface, making conventional intrusion detection systems inadequate due to resource constraints and evolving threats. This paper proposes a Hyb...

AbstractReferencesFull Text PDF (433 KB)Views: 87Downloads: 55Citations: 0
Open Access Research Article·pp. 2939–2953·Vol. 47, Issue 8Aug 2026

Real-time sensor fusion and signal processing for enhanced collision avoidance in autonomous vehicles

V. Dankan Gowda, Shashi Kant Gupta, K. D. V. Prasad, Parismita Sarma

Published Online: 31 Aug 2026DOI: 10.47974/JIOS-2236

In this paper: The purpose of this research is to design the real-time fusion and signal processing algorithms to enhance the collision avoidance in autonomous vehicles. The study integrates the acquired data as wel...

AbstractReferencesFull Text PDF (783 KB)Views: 75Downloads: 60Citations: 0
Open Access Research Article·pp. 2955–2968·Vol. 47, Issue 8Aug 2026

Hybrid CNN–transformer model for real-time drowsiness detection using eye aspect ratio & facial landmarks

Sanjay Sharma, Shashi Sharma

Published Online: 31 Aug 2026DOI: 10.47974/JIOS-2237

In this paper: This paper will present a Hybrid CNN Transformer model which is a spatial feature of the face after which temporal dynamics of the behavioral aspects are combined to provide a robust real-time drowsin...

AbstractReferencesFull Text PDF (560 KB)Views: 104Downloads: 60Citations: 0
Open Access Research Article·pp. 2969–2976·Vol. 47, Issue 8Aug 2026

A discrete mathematical framework for security and cryptographic analysis of Ethereum smart contracts

Satpal Singh Kushwaha, Sonam Gupta, Lipika Goel, Abhay Kumar Agarwal, Prashant Hemrajani

Published Online: 31 Aug 2026DOI: 10.47974/JIOS-2238

In this paper: Ethereum smart contracts execute immutable and financially critical logic, making post-deployment security flaws especially expensive to remediate. Existing protection mechanisms typically depend on e...

AbstractReferencesFull Text PDF (438 KB)Views: 101Downloads: 71Citations: 0
Open Access Research Article·pp. 2977–2986·Vol. 47, Issue 8Aug 2026

SHADE : Privacy-preserving multivariate anomaly detection in industrial IoT using CKKS homomorphic encryption

G. Hemanth Kumar, Dilip Kumar Jang Bahadur Saini, P. V. Bhaskar Reddy, C. Ravindra Murthy, Yudhishthir Raut, Tiruveedula Gopikrishna

Published Online: 31 Aug 2026DOI: 10.47974/JIOS-2359

In this paper: The vast amount of sensor data provided by Industrial Internet of Things (IIoT) systems needs to be processed in real time process. Besides the technical challenge, there are also compliance issues th...

AbstractReferencesFull Text PDF (580 KB)Views: 140Downloads: 61Citations: 0
Open Access Research Article·pp. 2987–2995·Vol. 47, Issue 8Aug 2026

A security aware discrete mathematics framework for Nash-equilibrium based incentive design against selfish mining and validator collusion

Satpal Singh Kushwaha, Pradeep Gupta, Lipika Goel, Y. Lakshmi Prasanna, Sonam Gupta

Published Online: 31 Aug 2026DOI: 10.47974/JIOS-2240

In this paper: Blockchain networks depend on incentive mechanisms to ensure that rational miners/validators follow the prescribed consensus protocol. However, strategic behavior such as selfish mining, validator col...

AbstractReferencesFull Text PDF (572 KB)Views: 108Downloads: 72Citations: 0
Open Access Research Article·pp. 2997–3006·Vol. 47, Issue 8Aug 2026

Evaluating deep learning–based computer vision techniques for robust object detection in video surveillance applications

Dhirendra Kumar, Shailesh R. Thakare, Aparna Kulkarni

Published Online: 31 Aug 2026DOI: 10.47974/JIOS-2318

In this paper: Video surveillance is widely used for automated security monitoring in public and private environments. Object detection enables intelligent analysis of surveillance footage by identifying entities su...

AbstractReferencesFull Text PDF (993 KB)Views: 72Downloads: 53Citations: 0
Open Access Research Article·pp. 3007–3015·Vol. 47, Issue 8Aug 2026

Lightweight multi-modal malware intelligence: A unified framework for efficient graph, temporal, causal, and federated detections

Dipesh Vaya, Rakesh Kumar Saxena

Published Online: 31 Aug 2026DOI: 10.47974/JIOS-2319

In this paper: Malware analysis increasingly requires models that evaluate various behavioral evidence without the computational cost associated with many deep learning systems. Hierarchical memory structures, varia...

AbstractReferencesFull Text PDF (477 KB)Views: 55Downloads: 72Citations: 0
Open Access Research Article·pp. 3017–3031·Vol. 47, Issue 8Aug 2026

Integrating AI models for code analysis and enhancing interpretability with explainable AI for human-readable bug detection

B. K. Kavya, S. Annamalai, A. Suresh Kumar

Published Online: 31 Aug 2026DOI: 10.47974/JIOS-2320

In this paper: The proposed study aims to integrate and assess the currently available AI models to provide a facility in terms of code analysis and bug detection in software development projects. Although AI has al...

AbstractReferencesFull Text PDF (597 KB)Views: 68Downloads: 62Citations: 0
Open Access Research Article·pp. 3033–3041·Vol. 47, Issue 8Aug 2026

A secure and scalable SDN architecture for dynamic traffic management and cryptography-based tenant isolation

Surabhi Shanker, Ajay Kumar Phogat, Aparna Misra, Saloni Bhushan, Prashant Vats, Manju Mandot

Published Online: 31 Aug 2026DOI: 10.47974/JIOS-2333

In this paper: Software-Defined Networking (SDN) provides centralized and programmable control for multi-tenant networks yet handling dynamic traffic along with strict security and isolation remains challenging. Thi...

AbstractReferencesFull Text PDF (470 KB)Views: 86Downloads: 51Citations: 0
Open Access Research Article·pp. 3043–3052·Vol. 47, Issue 8Aug 2026

End-to-end encryption architecture for enhancing confidentiality and integrity in secure online examination system

Arif Khan, Siddhartha Sankar Biswas, Bhavya Alankar, Harleen Kaur, Sherin Zafar

Published Online: 10 Aug 2026DOI: 10.47974/JIOS-2239

In this paper: During online exams, the primary focus is usually on using secure, reliable & nonduplicative communication methods. In contrast, many individuals try to access exam Questions and/or alter the answers...

AbstractReferencesFull Text PDF (554 KB)Views: 165Downloads: 193Citations: 0
Open Access Research Article·pp. 3053–3062·Vol. 47, Issue 8Aug 2026

A feature-augmented hybrid intrusion detection and prevention system for secure IoT networks

Vishal, Ruchika Bhakhar, Pallavi Pandey, Archna Goyal, Manju Mandot

Published Online: 31 Aug 2026DOI: 10.47974/JIOS-2335

In this paper: The rapid expansion of IoT devices has increased security risks due to limited resources, diverse protocols, and distributed environments. Traditional intrusion detection systems often fail to achieve...

AbstractReferencesFull Text PDF (536 KB)Views: 162Downloads: 56Citations: 0
Open Access Research Article·pp. 3063–3072·Vol. 47, Issue 8Aug 2026

A multi-level trusted security framework for high-fidelity GAN video deepfake detection in real-time systems

Sanjay Kumar, Deepak Awasthi, Ravi Krishan Pandey, Arun Kumar Uttam, Shashi Kant Gupta

Published Online: 31 Aug 2026DOI: 10.47974/JIOS-2357

In this paper: High-fidelity GANs enable realistic deepfakes, increasing risks of misinformation and fraud. This paper proposes a multi-level trusted framework combining spatio-temporal forensics, hybrid classificat...

AbstractReferencesFull Text PDF (651 KB)Views: 611Downloads: 50Citations: 0
Open Access Research Article·pp. 3073–3081·Vol. 47, Issue 8Aug 2026

Federated learning assisted power control for covert and secure UAV-enabled IoT communications

G. Hemanth Kumar, Dilip Kumar Jang Bahadur Saini, Vasu Namala, N. Gireesh, Kondru Ayyappa Swamy, G. Santhosh Kumar

Published Online: 31 Aug 2026DOI: 10.47974/JIOS-2358

In this paper: UAVs enhance IoT communication in dynamic, infrastructure-limited settings but face risks of information leakage and eavesdropping. The majority of existing works on covert communication are based on...

AbstractReferencesFull Text PDF (580 KB)Views: 87Downloads: 43Citations: 0
Open Access Research Article·pp. 3083–3092·Vol. 47, Issue 8Aug 2026

A mathematical framework for fake news detection in digital media using an intelligent fuzzy neural network model

Yash Vardhan Singh, Prashant Vats

Published Online: 31 Aug 2026DOI: 10.47974/JIOS-2334

In this paper: The explosive growth of digital platforms has intensified the circulation of false information, undermining public confidence and societal harmony. Conventional machine learning and deep learning meth...

AbstractReferencesFull Text PDF (584 KB)Views: 86Downloads: 49Citations: 0
Open Access Research Article·pp. 3093–3102·Vol. 47, Issue 8Aug 2026

Secure and dynamic Sharding : Advancing blockchain scalability and security through partitioned consensus and coordinated cross-shard protocols

Satpal Singh Kushwaha, Prashant Hemrajani, Varsha Himthani

Published Online: 31 Aug 2026DOI: 10.47974/JIOS-2208

In this paper: Traditional blockchain networks, such as Bitcoin and Ethereum, face significant challenges as every node must process every transaction, leading to bottlenecks and security vulnerabilities. This paper...

AbstractReferencesFull Text PDF (373 KB)Views: 106Downloads: 47Citations: 0
Open Access Research Article·pp. 3103–3114·Vol. 47, Issue 8Aug 2026

Security-enhanced machine learning-based predictive control for automated emergency braking using multi-sensor data fusion

Mandeep Kaur

Published Online: 31 Aug 2026DOI: 10.47974/JIOS-2361

In this paper: The consideration of information security is important in providing the safety and integrity of sophisticated car systems. Automated Emergency Braking (AEB) system is one of the important elements in...

AbstractReferencesFull Text PDF (689 KB)Views: 45Downloads: 51Citations: 0
Open Access Research Article·pp. 3115–3125·Vol. 47, Issue 8Aug 2026

CAKE : Energy-aware crypto-agile key management for energy-harvesting IoT with runtime switching between ASCON-128 and ML-KEM

Amit Raikar, Amruta Vijay Surana, P. V. Bhaskar Reddy, N. Gireesh, D. K. Nayana, U. Pavan Kumar

Published Online: 31 Aug 2026DOI: 10.47974/JIOS-2362

In this paper: Internet of Things (IoT) devices are expected to operate in environments where the available power is dynamic and uncertain. This leads to a stark security vs. energy consumption trade-off in post-qua...

AbstractReferencesFull Text PDF (619 KB)Views: 114Downloads: 70Citations: 0
Open Access Research Article·pp. 3127–3142·Vol. 47, Issue 8Aug 2026

A discrete mathematical approach for cryptanalysis using the normalized cipher randomness index

Priya Mathur, Amit Kumar Gupta

Published Online: 31 Aug 2026DOI: 10.47974/JIOS-2363

In this paper: This paper presents a discrete mathematical framework for machine learning-based cryptanalysis aimed at the automatic identification of classical encryption algorithms. Traditional cryptanalysis metho...

AbstractReferencesFull Text PDF (612 KB)Views: 78Downloads: 57Citations: 0

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