Rabia Latif

Scopus Publications

BBAS: A blockchain-based authentication system for e-health with multi-factor authentication, access control, and post-quantum security
Rabia Latif, Bello Musa Yakubu, Nor Shahida Mohd Jamail, Amir Mohamed Talib, Fahad Omar Alomary
Scientific Reports, 2026
Blockchain based precision rice farming framework using deep learning techniques
Zauwali Sabitu Paki, Bello Musa Yakubu, Souley Boukari, Rabia Latif, Nor Shahida Mohd Jamail, et al.
Discover Internet of Things, 2026
Secured-FL: Blockchain-Based Defense against Adversarial Attacks on Federated Learning Models
Bello Musa Yakubu, Nor Shahida Mohd Jamail, Rabia Latif, Seemab Latif
Computers Materials and Continua, 2026
Cross-domain recommendation framework for enhanced personalization through contrastive learning
Rabia Khan, Naima Iltaf, Rabia Latif, Nor Shahida Mohd Jamail
Journal of Supercomputing, 2026
INVESTIGATION OF RADIOISOTOPES POPULATION DYNAMICS BY THE HELP OF MODELING AND ARTIFICIAL INTELLIGENCE
HASIB KHAN, HADEEL BIN AMER, RABIA LATIF, WAFA F. ALFWZAN, RAJERMANI THINAKARAN
Fractals, 2026
This paper investigates the alpha-decay chain reaction of Uranium-238 ([Formula: see text]) into Thorium-234 ([Formula: see text]) and Radium-226 ([Formula: see text]) through a combination of computational simulations and theoretical analysis. The study focuses on the role of varying Uranium-238 and decay constants on the final quantity. Results indicate that higher initial Uranium-238 quantities yield increased final quantities of both Thorium-234 and Radium-226, with decay constants significantly influencing the system’s behavior. A fixed-point technique is employed to ensure the existence of solutions, confirming the system’s stability and convergence to steady-state solutions. Additionally, the potential of artificial intelligence (AI) techniques is discussed, highlighting their utility in optimizing decay models and improving computational efficiency. The integration of AI offers deeper insights into parameter optimization and outcome prediction for complex decay systems. These findings contribute to the understanding of radioactive decay dynamics and provide a framework for more advanced computational models in nuclear science, as a process innovation.
HIGHLIGHTING COMPLEX UNCERTAINTIES IN AN SIRS-INFECTION SPREADING SYSTEM
ABDULWASEA ALKHAZZAN, HADEEL BIN AMER, RABIA LATIF, WAFA F. ALFWZAN, HASIB KHAN
Fractals, 2026
This paper introduces a novel stochastic susceptible-infected-recovered-susceptible (SIRS) epidemic model tailored to study transportation-related infections. The model is analyzed both theoretically and computationally, offering new insights into the dynamics of disease spread in interconnected urban environments. Theoretically, we employ a Lyapunov function to establish the existence of a global positive solution and demonstrate that the solution is stochastically ultimately bounded (SUB) and stochastically permanent. Additionally, we derive a crucial sufficient condition to determine when the infectious disease may die out in the two cities under study. In the numerical analysis, we implement two distinct computational methods: the stochastic Euler–Maruyama (SEM) method and the stochastic nonstandard finite difference (SNSFD) method, to validate the theoretical findings of the studied model. When comparing the two numerical methods, our results show that the SNSFD method outperforms the SEM method in preserving key dynamic characteristics, such as positivity, boundedness, and stability, especially for larger temporal step sizes. This comparative analysis highlights the robustness and efficiency of the SNSFD scheme in handling complex stochastic epidemic models. The findings are illustrated with clear and detailed graphs, providing an accessible understanding of the model’s behavior under various parameter configurations. This work contributes to the field by combining theoretical rigor with innovative computational techniques, offering a comprehensive framework for studying transportation-related infectious diseases.
Whisper in Focus: Parameter-Efficient Stuttering Disfluency Classification
Huma Ameer, Mehwish Fatima, Esam Mohammed Asem Othman, Sana Mukhtar, Nor Shahida Mohd Jamail, et al.
IEEE Access, 2026
ZenGuard a machine learning based zero trust framework for context aware threat mitigation using SIEM SOAR and UEBA
Aamina Hassan, Abdul Rauf, Narmeen Shafqat, Rabia Latif, Hasib Khan
Scientific Reports, 2025
Perimeter-based security models, which rely on predefined network boundaries, are increasingly ineffective against modern threats such as insider misuse, supply chain attacks, and Advanced Persistent Threats (APTs). Zero Trust Architecture (ZTA) offers a more resilient approach by enforcing continuous verification of users, devices, and activity. While SIEM (Security Information and Event Management) and SOAR (Security Orchestration, Automation, and Response) platforms are widely adopted and play a critical role in monitoring and response, they often operate with static rules and limited behavioral context, making it challenging to fully implement ZTA principles. ZenGuard addresses these operational gaps by introducing context-aware, real-time, and adaptive enforcement capabilities. This paper introduces ZenGuard, an open-source framework that integrates ZTA, SIEM, SOAR, and User and Entity Behavior Analytics (UEBA) into a unified, vendor-independent platform. ZenGuard employs Python-based automation and interpretable machine learning models to detect behavioral anomalies and trigger adaptive responses across identity, device, and network layers. We evaluate ZenGuard using real-world Security Operation Center (SOC) telemetry from enterprise environments to validate overall threat detection and response, demonstrating a Mean Time to Respond (MTTR) under 10 seconds in cases such as privilege escalation, lateral movement and data exfiltration. Furthermore, UEBA accuracy was assessed on synthetic behavioral datasets that emulate diverse threats that are not consistently observable in live environments. In essence, ZenGuard supports Zero Trust principles as defined by NIST SP 800-207 and ISO/IEC 27001 controls, offering a practical, explainable, and scalable approach to modern cybersecurity automation.
AI-Based Deep Learning of the Water Cycle System and Its Effects on Climate Change
Hasib Khan, Wafa F. Alfwzan, Rabia Latif, Jehad Alzabut, Rajermani Thinakaran
Fractal and Fractional, 2025
This study combines artificial intelligence (AI) with mathematical modeling to improve the forecasting of the water cycle mechanism. The proposed model simulates the development of global temperature, precipitation, and water availability, integrating key climate parameters that control these dynamics. Using a system of fractional-order differential equations in the fractal–fractional sense of derivatives, the model captures interactions between solar radiation, the greenhouse effect, evaporation, and runoff. The deep learning framework is trained on extensive climate datasets, allowing it to refine predictions and identify complex patterns within the water cycle. By applying AI techniques alongside mathematical modeling, this procedure provides valuable insights into climate change and water resource administration. The model’s predictions can contribute to assessing future climate states, optimizing environmental policies, and designing sustainable water management strategies. Furthermore, the hybrid methodology improves decision-making by offering data-driven solutions for climate adaptation. The findings illustrate the effectiveness of AI-driven models in addressing global climate challenges with improved precision.
From Packets to Semantics: Transformer-Driven Privacy-Preserving ETA for OTT App Classification
Aamina Hassan, Abdul Rauf, Rabia Latif, Ahmed Iftikhar Baig, Hélène Kanso
IEEE Access, 2025
DRIFTNET-EnVACK: Adaptive Drift Detection in Cloud Data Streams With Ensemble Variational Auto-Encoder Featuring Contextual Network
Tajwar Mehmood, Seemab Latif, Rabia Latif, Hammad Majeed, Asad Waqar Malik
IEEE Access, 2024
LSTMDD: an optimized LSTM-based drift detector for concept drift in dynamic cloud computing
Tajwar Mehmood, Seemab Latif, Nor Shahida Mohd Jamail, Asad Malik, Rabia Latif
Peerj Computer Science, 2024
Dual Modality Reverse Reranking (DM-RR) Based Image Retrieval Framework
IKHLAQ AHMED, NAIMA ILTAF, RABIA LATIF, NOR SHAHIDA MOHD JAMAIL, ZAFRAN KHAN
IEEE Open Journal of the Industrial Electronics Society, 2024
Efficient Text Style Transfer Through Robust Masked Language Model and Iterative Inference
Osama Subhani Khan, Naima Iltaf, Usman Zia, Rabia Latif, Nor Shahida Mohd Jamail
IEEE Access, 2024
MarketTrust: blockchain-based trust evaluation model for SIoT-based smart marketplaces
Rabia Latif, Bello Musa Yakubu, Tanzila Saba
Scientific Reports, 2023
Assessing Urdu Language Processing Tools via Statistical and Outlier Detection Methods on Urdu Tweets
Zoya, Seemab Latif, Rabia Latif, Hammad Majeed, Nor Shahida Mohd Jamail
ACM Transactions on Asian and Low Resource Language Information Processing, 2023
A Survey of Blockchain Technology: Architecture, Applied Domains, Platforms, and Security Threats
Ayesha Altaf, Faiza Iqbal, Rabia Latif, Bello Musa Yakubu, Seemab Latif, et al.
Social Science Computer Review, 2023
ADAL-NN: Anomaly Detection and Localization Using Deep Relational Learning in Distributed Systems
Kashan Ahmed, Ayesha Altaf, Nor Shahida Mohd Jamail, Faiza Iqbal, Rabia Latif
Applied Sciences Switzerland, 2023
Policy-Based Spam Detection of Tweets Dataset
Momna Dar, Faiza Iqbal, Rabia Latif, Ayesha Altaf, Nor Shahida Mohd Jamail
Electronics Switzerland, 2023
Image Encryption Scheme Based on Orbital Shift Pixels Shuffling with ILM Chaotic System
Wajid Ali, Congxu Zhu, Rabia Latif, Muhammad Asim, Muhammad Usman Tariq
Entropy, 2023
Multi Factor Authentication as a Service (MFAaaS) for Federated Cloud Environments
Sara Ahmed AlAnsary, Rabia Latif, Tanzila Saba
Lecture Notes in Networks and Systems, 2023
Trust Management Frameworks in Multi-Cloud Environment: A Review
Arwa Alajroush, Rabia Latif, Tanzila Saba
Proceedings 2023 6th International Conference of Women in Data Science at Prince Sultan University Wids Psu 2023, 2023
CrossDomain Recommendation Based on MetaData Using Graph Convolution Networks
Rabia Khan, Naima Iltaf, Rabia Latif, Nor Shahida Mohd Jamail
IEEE Access, 2023
Web Scraping for Data Analytics: A BeautifulSoup Implementation
Ayat Abodayeh, Reem Hejazi, Ward Najjar, Leena Shihadeh, Rabia Latif
Proceedings 2023 6th International Conference of Women in Data Science at Prince Sultan University Wids Psu 2023, 2023
A novel trust management model for edge computing
Rabia Latif, Malik Uzair Ahmed, Shahzaib Tahir, Seemab Latif, Waseem Iqbal, et al.
Complex and Intelligent Systems, 2022

RECENT SCHOLAR PUBLICATIONS

Whisper in Focus: Parameter-Efficient Stuttering Disfluency Classification
H Ameer, M Fatima, EMA Othman, S Mukhtar, NSM Jamail, R Latif, S Latif
IEEE Access , 2026
2026
LMS-Whisper: Efficient Lightweight Whisper for Multi-Stutter Speech Classification
H Ameer, M Fatima, R Latif, S Latif
ICASSP 2026-2026 IEEE International Conference on Acoustics, Speech and … , 2026
2026
INVESTIGATION OF RADIOISOTOPES POPULATION DYNAMICS BY THE HELP OF MODELING AND ARTIFICIAL INTELLIGENCE
H Khan, HB Amer, R Latif, WF Alfwzan, R Thinakaran
Fractals, 2640035 , 2026
2026
Highlighting Complex Uncertainties in an Sirs-Infection Spreading System
A Alkhazzan, HB Amer, R Latif, WF Alfwzan, H Khan
Fractals, 2640004 , 2026
2026
BBAS: A blockchain-based authentication system for e-health with multi-factor authentication, access control, and post-quantum security
R Latif, BM Yakubu, NSM Jamail, AM Talib, FO Alomary
Scientific Reports , 2026
2026
Secured-FL: Blockchain-Based Defense against Adversarial Attacks on Federated Learning Models
BM Yakubu, NSM Jamail, R Latif, S Latif
Computers, Materials and Continua 86 (3) , 2026
2026
Cross‑domain recommendation framework for enhanced personalization through contrastive learning
R Khan, N Iltaf, R Latif, NSM Jamail
Journal of Supercomputing 82 (55) , 2026
2026
From Packets to Semantics: Transformer-Driven Privacy-Preserving ETA for OTT App Classification
A Hassan, A Rauf, R Latif, AI Baig, H Kanso
IEEE Access 13, 207694 - 207709 , 2025
2025
Blockchain based precision rice farming framework using deep learning techniques
ZS Paki, BM Yakubu, S Boukari, R Latif, NSM Jamail, AY Gital, SM Fati
Discover Internet of Things , 2025
2025
Citations: 3
Secured-FL: Blockchain-Based Defense Against Adversarial Attacks on Federated Learning Models
Bello Musa Yakubu, Nor Shahida Mohd Jamail, Rabia Latif, Seemab Latif
CMC-Computers, Materials & Continua , 2025
2025
ZenGuard a machine learning based zero trust framework for context aware threat mitigation using SIEM SOAR and UEBA
HK Aamina Hassan, Abdul Rauf, Narmeen Shafqat, Rabia Latif
Scientific Reports 15 (35871) , 2025
2025
Citations: 10
Benchmark Dataset with Larger Context for Non-Factoid Question-Answering over Islamic Text
RL Faiza Qamar, Seemab Latif, Nor Shahida Mohd Jamail
Data Intelligence, 1-28 , 2025
2025
Citations: 11
Towards robust Urdu aspect-based sentiment analysis through weakly-supervised annotation framework
Z Maqsood, S Latif, R Latif
Proceedings of the 8th International Conference on Natural Language and … , 2025
2025
Citations: 1
Pseudo-Labeling with Large Language Models for Aspect-Based Sentiment Analysis in Urdu
RL Zoya Maqsood Alam, Seemab Latif
Data Intelligence , 2025
2025
AI-based deep learning of the water cycle system and its effects on climate change
H Khan, WF Alfwzan, R Latif, J Alzabut, R Thinakaran
Fractal and Fractional 9 (6), 361 , 2025
2025
Citations: 5
Contrastive Learning based CrossDomain Recommendation via User Convergence
R Khan, N Iltaf, R Latif, U Zia, NSM Jamail
2025
Efficient text style transfer through robust masked language model and iterative inference
OS Khan, N Iltaf, U Zia, R Latif, NSM Jamail
IEEE Access 12, 182353-182373 , 2024
2024
Citations: 2
Cross-lingual news event correlation for stock market trend prediction
S Arshad, N Azhar, S Sajid, S Latif, R Latif
arXiv preprint arXiv:2410.00024 , 2024
2024
Citations: 2
Dual Modality Reverse Reranking (DM-RR) Based Image Retrieval Framework
I Ahmed, N Iltaf, R Latif, NSM Jamail, Z Khan
IEEE Open Journal of the Industrial Electronics Society 5, 886-897 , 2024
2024
Citations: 2
Optimizing Multi-Stuttered Speech Classification: Leveraging Whisper's Encoder for Efficient Parameter Reduction in Automated Assessment
H Ameer, S Latif, M Fatima
arXiv preprint arXiv:2406.05784 , 2024
2024
Citations: 5

MOST CITED SCHOLAR PUBLICATIONS

Cloud computing risk assessment: a systematic literature review
R Latif, H Abbas, S Assar, Q Ali
Future information technology, 285-295 , 2014
2014
Citations: 177
Behavioral based insider threat detection using deep learning
R Nasir, M Afzal, R Latif, W Iqbal
IEEE access 9, 143266-143274 , 2021
2021
Citations: 157
Malicious insider attack detection in IoTs using data analytics
AY Khan, R Latif, S Latif, S Tahir, G Batool, T Saba
IEEE Access 8, 11743-11753 , 2019
2019
Citations: 141
Malicious insiders attack in IoT based Multi-Cloud e-Healthcare environment: A Systematic Literature Review
A Ahmed, R Latif, S Latif, H Abbas, FA Khan
Multimedia Tools and Applications 77 (17), 21947-21965 , 2018
2018
Citations: 100
Effects of amlodipine on serum testosterone, testicular weight and gonado-somatic index in adult rats
R Latif, GM Lodhi, M Aslam
J Ayub Med Coll Abbottabad 20 (4), 8-10 , 2008
2008
Citations: 84
Web scraping for data analytics: A beautifulsoup implementation
A Abodayeh, R Hejazi, W Najjar, L Shihadeh, R Latif
2023 sixth international conference of women in data science at prince … , 2023
2023
Citations: 79
Distributed Denial of Service (DDoS) Attack in Cloud- Assisted Wireless Body Area Networks: A Systematic Literature Review
R Latif, H Abbas, S Assar
Journal of medical systems 38 (11), 128 , 2014
2014
Citations: 75
RiceChain: secure and traceable rice supply chain framework using blockchain technology
BM Yakubu, R Latif, A Yakubu, MI Khan, AI Magashi
PeerJ Computer Science 8, e801 , 2022
2022
Citations: 67
Suspicious activity recognition using proposed deep L4-branched-ActionNet with entropy coded ant colony system optimization
T Saba, A Rehman, R Latif, SM Fati, M Raza, M Sharif
IEEE Access 9, 89181-89197 , 2021
2021
Citations: 66
A survey of blockchain technology: Architecture, applied domains, platforms, and security threats
A Altaf, F Iqbal, R Latif, BM Yakubu, S Latif, H Samiullah
Social Science Computer Review 41 (5), 1941-1962 , 2023
2023
Citations: 55
Analyzing LDA and NMF topic models for Urdu tweets via automatic labeling
S Latif, F Shafait, R Latif
IEEE Access 9, 127531-127547 , 2021
2021
Citations: 52
Effect of visfatin on testicular steroidogenesis in purified Leydig cells
W Hameed, I Yousaf, R Latif, M Aslam
Journal of Ayub Medical College Abbottabad 24 (3-4), 62-64 , 2012
2012
Citations: 44
Enterprise architecture frameworks assessment: capabilities, cyber security and resiliency review
HF Al-Turkistani, S Aldobaian, R Latif
2021 1st International conference on artificial intelligence and data … , 2021
2021
Citations: 37
ConTrust: A novel context-dependent trust management model in social Internet of Things
R Latif
IEEE Access 10, 46526-46537 , 2022
2022
Citations: 35
EVFDT: An Enhanced Very Fast Decision Tree Algorithm for Detecting Distributed Denial of Service Attack in Cloud‐Assisted Wireless Body Area Network
R Latif, H Abbas, S Latif, A Masood
Mobile Information Systems 2015 (1), 260594 , 2015
2015
Citations: 33
A novel trust management model for edge computing
R Latif, MU Ahmed, S Tahir, S Latif, W Iqbal, A Ahmad
Complex & Intelligent Systems 8 (5), 3747-3763 , 2022
2022
Citations: 31
Hardware-based random number generation in wireless sensor networks (WSNs)
R Latif, M Hussain
International Conference on Information Security and Assurance, 732-740 , 2009
2009
Citations: 31
Machine learning for post‐traumatic stress disorder identification utilizing resting‐state functional magnetic resonance imaging
T Saba, A Rehman, MN Shahzad, R Latif, SA Bahaj, J Alyami
Microscopy Research and Technique 85 (6), 2083-2094 , 2022
2022
Citations: 25
T-smart: trust model for blockchain based smart marketplace
M Waleed, R Latif, BM Yakubu, MI Khan, S Latif
Journal of Theoretical and Applied Electronic Commerce Research 16 (6), 2405 … , 2021
2021
Citations: 24
Wheat plant counting using UAV images based on semi-supervised semantic segmentation
H Mukhtar, MZ Khan, MUG Khan, T Saba, R Latif
2021 1st International conference on artificial intelligence and data … , 2021
2021
Citations: 23

Rabia Latif

RESEARCH INTERESTS

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

MOST CITED SCHOLAR PUBLICATIONS

Publications