TARU PUBLICATIONS
Journal of Information and Optimization Sciences cover
Open Access ·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
Volume 46·Issue 6·September 2025·23 ArticlesSpecial Issue

Volume 46, Issue 6

Articles

Open Access Research Article·pp. i–vii·Vol. 46, Issue 6Sep 2025

Special Issue on Optimization and Operational Research in Emerging Technologies

Sachi Nandan Mohanty, Xiaochun Cheng, Puranam Revanth Kumar

Published Online: 30 Sep 2025DOI: 10.47974/JIOS-46-6-Foreword

In this paper: This special issue titled “Optimization and Operational Research in Emerging Technologies” is an outcome of the 5th International Conference on Intelligent Systems and Machine Learning (ICISML), held...

AbstractFull Text PDF (115 KB)Views: 301Downloads: 74Citations: 0
Open Access Research Article·pp. 1793–1801·Vol. 46, Issue 6Sep 2025

The scalable cloud-based reinforcement learning for multimedia data in cognitive Neuroscience for secure healthcare analysis

Venkateswara Rao Bolla, B. Vikas, Sirisha Potluri, Yerragudipadu Subbarayudu, G. Sucharitha, Nirmalajyothi Narisetty

Published Online: 30 Sep 2025DOI: 10.47974/JIOS-2008

In this paper: Recently, the field of neuroscience and the complexity of brain research data have increased due to advancements in imaging technologies, electrophysiological recordings, and genetic sequencing. Manag...

AbstractReferencesFull Text PDF (190 KB)Views: 272Downloads: 106Citations: 0
Open Access Research Article·pp. 1803–1810·Vol. 46, Issue 6Sep 2025

Design of an efficient model for fake profile detection on social media using advanced feature engineering and deep learning techniques

Bhrugumalla L. V. S. Aditya, Sachi Nandan Mohanty

Published Online: 30 Sep 2025DOI: 10.47974/JIOS-2009

In this paper: Detecting false social media profiles is crucial for internet trust and honesty. Existing approaches generally struggle to capture social network data’s complex patterns. New feature engineering, ense...

AbstractReferencesFull Text PDF (255 KB)Views: 227Downloads: 104Citations: 0
Open Access Research Article·pp. 1811–1819·Vol. 46, Issue 6Sep 2025

Enhanced DDoS attack detection using instance-based transfer learning with Q TRANSFER and Gaussian membership function

Saswati Chatterjee, Deepthi Godavarthi, Suneeta Satpathy

Published Online: 30 Sep 2025DOI: 10.47974/JIOS-2014

In this paper: DDoS attacks pose a significant threat to networks due to their ease of execution and the difficulty in mitigating them. Machine learning-based detection faces challenges due to limited accessible tra...

AbstractReferencesFull Text PDF (367 KB)Views: 184Downloads: 98Citations: 0
Open Access Research Article·pp. 1821–1829·Vol. 46, Issue 6Sep 2025

An explainable artificial intelligence-based approach for prediction and analysis of mental health disorder due to work pressure in the tech industry

Vaishali Mehta Wadhwa, Akanksha Mahajan, Tamanna Jena, Jyoti Garg

Published Online: 30 Sep 2025DOI: 10.47974/JIOS-2011

In this paper: These days, mental health disorders are becoming a major problem, particularly for workers. Effective management and treatment of mental health illnesses depend on early and precise diagnosis. This st...

AbstractReferencesFull Text PDF (331 KB)Views: 190Downloads: 119Citations: 2
Open Access Research Article·pp. 1831–1840·Vol. 46, Issue 6Sep 2025

A novel blockchain enabled smart contract for smart city e-governance ecosystem

Shubha Dattatreya Bahinipati, Binod Kumar Pattanayak

Published Online: 30 Sep 2025DOI: 10.47974/JIOS-2012

In this paper: Inclusion of smart contracts in urban government has shown large amounts of promise towards enhancing efficiency, cost benefits, and satisfaction. This article examines the potential scope of smart co...

AbstractReferencesFull Text PDF (854 KB)Views: 171Downloads: 102Citations: 0
Open Access Research Article·pp. 1841–1850·Vol. 46, Issue 6Sep 2025

A gated recurrent unit-based model for fake news detection in online social networks

Chandrakant Mallick, Sarojananda Mishra, Suneeta Satpathy, Mukkoti Maruthi Venkata Chalapathi

Published Online: 01 Oct 2025DOI: 10.47974/JIOS-2013

In this paper: Fake news and online rumors can mislead information, disrupt order, and destabilize society. This misleading information is propagated through online social media and other digital platforms, which re...

AbstractReferencesFull Text PDF (566 KB)Views: 220Downloads: 103Citations: 0
Open Access Research Article·pp. 1851–1859·Vol. 46, Issue 6Sep 2025

Design of an efficient deep pattern analysis model for the identification of bot-based fake profiles

Bhrugumalla L. V. S. Aditya, Sachi Nandan Mohanty

Published Online: 30 Sep 2025DOI: 10.47974/JIOS-2010

In this paper: To ensure the integrity and safety of online interactions, many fake profiles on social media are often created by harmful bots. Despite the tactics already employed, their efficacy is frequently comp...

AbstractReferencesFull Text PDF (210 KB)Views: 179Downloads: 128Citations: 0
Open Access Research Article·pp. 1861–1869·Vol. 46, Issue 6Sep 2025

A comprehensive review of explainable artificial intelligence (XAI) in various domains : Applications and challenges

Richa Datta, Vaishali Mehta Wadhwa

Published Online: 30 Sep 2025DOI: 10.47974/JIOS-2015

In this paper: To make artificial intelligence, scientists look at how the brain works and how it learns. These investigations have led to the creation of software and smart systems. Artificial Intelligence (AI) is...

AbstractReferencesFull Text PDF (308 KB)Views: 235Downloads: 120Citations: 2
Open Access Research Article·pp. 1871–1879·Vol. 46, Issue 6Sep 2025

Energy-efficient resource allocation in fog computing using hybrid genetic algorithm-based VM consolidation

Manjula Gururaj Rao, Priyanka H., Gururaj Rao H.

Published Online: 30 Sep 2025DOI: 10.47974/JIOS-2016

In this paper: Fog computing brings cloud-like services closer to data sources, improving responsiveness but also introducing challenges like high energy consumption and inefficient resource use. To tackle this, VM...

AbstractReferencesFull Text PDF (528 KB)Views: 197Downloads: 113Citations: 0
Open Access Research Article·pp. 1881–1890·Vol. 46, Issue 6Sep 2025

Hybrid machine learning model for network traffic anomaly detection using time-series forecasting

Pratik Kumar Swain, Ansuman Patnaik, Suneeta Satpathy

Published Online: 30 Sep 2025DOI: 10.47974/JIOS-2017

In this paper: This research study employs a hybrid model capable of detecting anomalies in network infrastructure to enhance cyber security. The proposed model analyzes anomalies and classifies cyber-attacks by com...

AbstractReferencesFull Text PDF (872 KB)Views: 226Downloads: 119Citations: 0
Open Access Research Article·pp. 1891–1899·Vol. 46, Issue 6Sep 2025

A blockchain-based auction framework for sustainable waste management : Utilizing non-fungible tokens (NFT) and zero knowledge proofs (ZKPs) for enhanced authentication

Ch Sree Kumar, Akhilendra Pratap Singh

Published Online: 30 Sep 2025DOI: 10.47974/JIOS-2018

In this paper: The significant rise in Waste generation poses substantial difficulties for the management of it. A solution that ensures transparency, efficiency, and trust within the community is highly sought afte...

AbstractReferencesFull Text PDF (346 KB)Views: 160Downloads: 104Citations: 0
Open Access Research Article·pp. 1901–1909·Vol. 46, Issue 6Sep 2025

Facial authentication-based smart door lock system and anomaly detection using machine learning architectures integrated with IoT

Morched Derbali, Mutasem Jarrah, Ahmed Harbaoui, Kamel Taher khoualdi

Published Online: 30 Sep 2025DOI: 10.47974/JIOS-2019

In this paper: This work comprises two components: home security and reconnaissance, as well as remote entryway exchange with a greeting framework.  The first step for the user is to install the security and surveil...

AbstractReferencesFull Text PDF (649 KB)Views: 220Downloads: 96Citations: 0
Open Access Research Article·pp. 1911–1921·Vol. 46, Issue 6Sep 2025

A novel deep learning technique for protecting web applications against XSS and SQLI attacks

Sonkarlay J.Y. Weamie, Vinothkumar Kolluru, Yagnesh Challagundla, Thomas T. Tarpeh Jr

Published Online: 30 Sep 2025DOI: 10.47974/JIOS-2020

In this paper: The proliferation of emerging technologies has increased vulnerabilities in web applications, making them susceptible to SQL injections and cross-site scripting attacks. Current detection methods ofte...

AbstractReferencesFull Text PDF (733 KB)Views: 269Downloads: 118Citations: 0
Open Access Research Article·pp. 1923–1932·Vol. 46, Issue 6Sep 2025

Women entrepreneurs in the digital age : Bridging challenges and sustainability goals

Shaiku Shahida Saheb, Sirisha Charugulla, M. Aruna Prasanna Kumari, Naga Bhavani Chakka, Kunchakara Raja Sekhar, Veerasankararao Ramisetty

Published Online: 30 Sep 2025DOI: 10.47974/JIOS-2021

In this paper: The technology can potentially expand the market reach and operational efficiency of SMEs, especially women entrepreneurs, who have adopted many SMEs to gain their identity everywhere and enhance thei...

AbstractReferencesFull Text PDF (220 KB)Views: 252Downloads: 115Citations: 0
Open Access Research Article·pp. 1933–1944·Vol. 46, Issue 6Sep 2025

Scam detection secure cryptographic model for detection of scams in UPI transactions with web application

Naga Bhavani Chakka, Shaiku Shahida Saheb

Published Online: 30 Sep 2025DOI: 10.47974/JIOS-2022

In this paper: Unified Payments Interface (UPI) transactions require advanced technologies for rapid and accurate fraud detection. UPI systems face threats such as phishing, spoofing, and unauthorized access as digi...

AbstractReferencesFull Text PDF (527 KB)Views: 165Downloads: 122Citations: 0
Open Access Research Article·pp. 1945–1951·Vol. 46, Issue 6Sep 2025

Heart disorder detection using evolutionary algorithms : A real-time pulse sensor system for early intervention

R. Kishore Kanna, Bhawani Sankar Panigrahi, Sanjay Kumar Sen, Susanta Kumar Sahoo, Soujanya Duvvi, Venkatesh Kavididevi

Published Online: 30 Sep 2025DOI: 10.47974/JIOS-2023

In this paper: Heart disorders, including the risk of heart attacks, have become more prevalent recently. We put forward a technology that uses in-home pulse sensors to determine a person’s heart rate. For the purpo...

AbstractReferencesFull Text PDF (461 KB)Views: 272Downloads: 109Citations: 0
Open Access Research Article·pp. 1953–1961·Vol. 46, Issue 6Sep 2025

Remote healthcare systems for diabetes diagnosis : A bio-inspired deep learning approach using NCA-CNN

Bhawani Sankar Panigrahi, R. Kishore Kanna, Soujanya Duvvi, Sanjay Kumar Sen, Susanta Kumar Sahoo, Venkatesh Kavididevi

Published Online: 30 Sep 2025DOI: 10.47974/JIOS-2024

In this paper: The development of healthcare systems has been greatly enhanced by recent advances in the IoT and AI, especially machine learning technology, which will now be used to prevent, diagnose and treat pati...

AbstractReferencesFull Text PDF (473 KB)Views: 219Downloads: 105Citations: 0
Open Access Research Article·pp. 1963–1971·Vol. 46, Issue 6Sep 2025

Explainability and interpretability in AI : Bridging the gap between accuracy and transparency

Sai Prashanth Mallellu, V. Uma Maheswari, Anitha Patil, Morarjee Kolla, B. Prasanalakshmi, Linda Elzubir Gasm Alsid

Published Online: 30 Sep 2025DOI: 10.47974/JIOS-2025

In this paper: With more sophisticated computational models increasingly used in decision-making, the requirement for transparency in models has accelerated. Explainability and interpretability are at the forefront...

AbstractReferencesFull Text PDF (128 KB)Views: 230Downloads: 133Citations: 0
Open Access Research Article·pp. 1973–1981·Vol. 46, Issue 6Sep 2025

AI-driven cybersecurity for IoT networks : Enhancing threat detection and mitigation

Sai Prashanth Mallellu, Rajanikanth Aluvalu, V. Uma Maheswari, Siripuri Kiran, Sathwik Narkedimilli, Palamakula Ramesh Babu

Published Online: 30 Sep 2025DOI: 10.47974/JIOS-2026

In this paper: The proliferation of Internet of Things (IoT) devices has increased the size and complexity of cyber security threats to such an extent that traditional security is insufficient to safeguard IoT netwo...

AbstractReferencesFull Text PDF (130 KB)Views: 291Downloads: 112Citations: 0
Open Access Research Article·pp. 1983–1994·Vol. 46, Issue 6Sep 2025

Hybrid deep learning-based IoT intrusion detection : A comparative study of CNN, GRU, LSTM, and hybrid architectures

Sonkarlay J.Y. Weamie, Vinothkumar Kolluru, AB Jallah Balyemah AB Jallah Balyemah, Yagnesh Challagundla

Published Online: 30 Sep 2025DOI: 10.47974/JIOS-2027

In this paper: Cyber-physical systems, particularly Internet of Things devices, pose significant cybersecurity challenges due to their vast volume, speed, and complexity of network traffic and attack vectors. This r...

AbstractReferencesFull Text PDF (1.8 MB)Views: 316Downloads: 117Citations: 1
Open Access Research Article·pp. 1995–2004·Vol. 46, Issue 6Sep 2025

HID-AG: Elevating cybersecurity with HybridIDNet and PCA-anomalyguard for intrusion detection excellence

Balamurugan K., Sudalaimuthu T., Bakkialakshmi VS.

Published Online: 30 Sep 2025DOI: 10.47974/JIOS-2028

In this paper: Anomalous patterns in network traffic remain a critical obstacle in modern cybersecurity. Conventional intrusion detection systems (IDS) frequently face limitations in recognizing subtle or adaptive a...

AbstractReferencesFull Text PDF (442 KB)Views: 225Downloads: 96Citations: 0
Open Access Research Article·pp. 2005–2015·Vol. 46, Issue 6Sep 2025

Optimized stacked deep ensemble classifier using hyperparameter tuning for facial expression recognition

K. V. Krishna Kishore, Venkata Rami Reddy Chirra, U. Srinivasulu Reddy

Published Online: 01 Oct 2025DOI: 10.47974/JIOS-2029

In this paper: Despite significant advancements in FER methodologies, real-time implementation remains challenging due to intra-class variations such as pose, illumination, age, and skin color. These variations caus...

AbstractReferencesFull Text PDF (843 KB)Views: 232Downloads: 106Citations: 0