Dr. Nazneen Ansari

@sfit.ac.in

Associate Professor, Department of Information Technology
St. Francis Institute of Technology

Dr. Nazneen Ansari


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23

Scopus Publications

Scopus Publications

  • A hybrid intelligent blockchain framework for enhanced smart grid security
    Brinal Colaco, Nazneen Ansari
    Engineering Research Express, 2026
    Smart-grid and industrial energy systems generate large volumes of continuous operational data, which are often affected by noise, security vulnerabilities, and risks of data tampering. Traditional machine learning techniques enable accurate prediction and analysis but lack mechanisms to ensure data confidentiality, integrity, and secure storage. To address these challenges, this paper proposes a hybrid secure data-processing framework termed the Elman–rabbit cipher system (ERCS). The proposed method integrates data preprocessing, adaptive key generation via an Elman Neural Network, lightweight Rabbit stream-cipher-based encryption, and blockchain (BC)-enabled validation to ensure tamper-proof, trustworthy data management. This unified pipeline enables both efficient analytics and robust end-to-end security for smart-grid environments. Experimental results demonstrate the effectiveness of the proposed model, achieving 99.4% accuracy, 99.6% precision, 99.5% recall, 99.7% F -score, 99.8% AUC, and a low error rate of 0.6%. Additionally, the framework exhibits fast processing with 2.3 ms encryption time, 2.4 ms decryption time, an overall execution time of 7 ms, and a confidentiality rate of 99.87%. These results confirm that the proposed ERCS framework provides a scalable, efficient, and secure solution by combining neural-based adaptive encryption with decentralized BC verification, making it suitable for modern smart-grid applications.
  • NAVIGATING THE EDGE: ADDRESSING INTEGRATION HURDLES IN DIGITAL COMMERCE ECOSYSTEMS
    Jyotsna B. More, Nazneen Ansari
    Iet Conference Proceedings, 2026
    The rapid growth of digital commerce has made it challenging to utilize fast, swift, and intelligent computer systems. As a rule, online shopping sites used to rely on cloud server systems to work. A new computing paradigm called edge computing is introduced to enhance services, speed up processes, and do things correctly the first time. But it is hard to add edge computing to cloud server systems. This paper looks at the main problems while integrating edge and cloud systems for digital commerce systems. By looking at what has been done and what has worked, the paper focuses on different issues while using edge-cloud systems together. It also talks about what might work better and how to do it by providing different solutions. This paper provides a base for further exploration in the future.
  • Modeling AI-enabled supply chain management: Challenges, solutions in the era of industry 4.0
    Rupesh Mishra, Nazneen Ansari
    Recent Advances in Technology Management, 2026
    Industry 4.0’s (14.0) introduction has completely changed the use of cutting-edge technology tools like analytics for huge data, blockchain, the Internet of Things (loT), and artificial intelligence (Al) in supply chain management (SCM) and cloud computing. While these innovations promise enhanced efficiency and resilience, their widespread adoption faces significant challenges, especially in developing nations. This paper explores the pivotal role of Al in overcoming 14.0 challenges, focusing on supply chain (SC) sustainability, integration, and operational resilience. It presents a structured analysis of Al-driven solutions for procurement, scalability, security, and cost challenges in blockchain-enabled SCM. Furthermore, a comprehensive AI-enabled SC model is proposed, detailing its architecture. The evaluation strategy emphasizes key performance factors to assess Al’s impact on SCM efficiency. By bridging research gaps, this study offers insightful information for businesses looking to improve SC efficiency in the face of unpredictable disruptions, fostering a sustainable and technologically advanced ecosystem.
  • A Comprehensive Evaluation of Go, Python and Solidity for Blockchain Development: Implications for IoT and Industry Applications
    Brinal Colaco, Nazneen Ansari
    2026 International Conference on Communication Computing and Emerging Technologies Ic3et 2026, 2026
  • Autonomous Blockchain-Enabled Security Framework for Smart Grids Using Adaptive AI
    Brinal Colaco, Nazneen Ansari
    International Journal of Advanced Computer Science and Applications, 2025
    The increasing interconnectivity of smart grids exposes critical energy infrastructure to more sophisticated cyber threats, necessitating adaptable and auditable security measures. This study presents a blockchain-enabled, self-improving intrusion detection system (IDS) that integrates a permissioned blockchain, autonomous governance loops, and a hybrid CNN–LSTM detector. The platform retrains models across federated nodes using blockchain-anchored data, facilitates automatic containment through smart contracts, and permanently stores validated alarms. Following multiple self-improvement cycles, the system enhances its performance from an initial 94.5% accuracy and 4.2% false positive rate (FPR) to 98.1% accuracy, a 97.6% detection rate (recall), and a 2.1% FPR in simulated tests. In comparison to baselines, a blockchain-only IDS recorded 94.1% accuracy with a 4.8% FPR, while a conventional machine learning-based IDS achieved 92.7% accuracy with a 5.4% FPR. Operationally, blockchain anchoring provided a throughput of approximately 1,200 transactions per second with an average transaction latency of about 1.5 seconds. The combined detect-to-contain latency for high-severity events was approximately 3.2 seconds. These findings demonstrate that a scalable, low-FPR, and rapid-response security paradigm for modern smart grids can be achieved by integrating adaptive artificial intelligence with decentralized, robust governance.
  • Indisent: Cross-Lingual Sentiment Analysis
    Nazneen Ansari, Monalisa lopes, Hussain Shaikh, Blaise D’Mello, Dharmit Shah, Linson Rodrigues
    Aip Conference Proceedings, 2024
  • Heuristic Evaluation of Website Using HCI Principles
    Nazneen Ansari, Monalisa Lopes, Arshan Bhanage, Varun Changarankattil, Alaster Cheeramkuzhyil, Reo Correia
    Aip Conference Proceedings, 2024
  • Proposed System for Braille Translator Using CNN and OCR
    Nazneen Ansari, Monalisa Lopes, Shreya Pandey, Max Tuscano, Benen Lobo, Sinon Lobo
    Aip Conference Proceedings, 2024
  • Performance Level Evaluation of Cryptographic Algorithms
    Ashwini P. Parkar, Madhuri N. Gedam, Nazneen Ansari, Shanthi Therese
    Lecture Notes in Networks and Systems, 2021
  • Agro advisory system using big data analytics
    Nazneen Ansari, Siddhi Martal, Namratha Bhat, Sohan Pawar
    Lecture Notes in Networks and Systems, 2021
    From past decades, agriculture is remaining as a primary source of food and raw materials for human lives. Recently, the agriculture field is greatly influenced by technologies like big data and automated decision-making systems to deploy an efficient way to farm. Most of the agriculture-related data come from diverse varieties of information sources and networks. The objective of the system is to aid farmers and agriculture experts through a user-friendly website. The data is processed using the Hadoop framework, the results of which are displayed on the website by using a Tableau visualization tool. The ideology consists of data about farming and related aspects. The system has been designed by considering agriculture in India.
  • Analysis of Suitable Approaches for Data Mining Algorithms
    Nazneen Ansari, Anjali B. Singh, Bina D. Trivedi, Priti B. Nandankar
    Proceedings of the International Conference on Intelligent Computing and Control Systems Iciccs 2020, 2020
  • Naïve Bayes Classification on Student Placement Data: A Comparative Study of Data Mining Tools
    Umang Mavani, Vivian Brian Lobo, Aditi Pednekar, Naomi Christianne Pereira, Rupesh Mishra, Nazneen Ansari
    Advances in Intelligent Systems and Computing, 2020
  • Analyzing game stickiness using clustering techniques
    Hycinta Andrat, Nazneen Ansari
    Advances in Intelligent Systems and Computing, 2018
  • Early prediction of five major complications ascends in diabetes mellitus using fuzzy logic
    Aruna Pavate, Pranav Nerurkar, Nazneen Ansari, Rajesh Bansode
    Advances in Intelligent Systems and Computing, 2018
  • Recapitulization of tweets using graph-based clustering
    Vivian Brian Lobo, Nazneen Ansari
    2017 2nd International Conference on Communication Systems Computing and IT Applications Cscita 2017 Proceedings, 2017
  • A proposed system for recapitulating tweets using graph-based clustering
    Vivian Brian Lobo, Nazneen Ansari, Rajkumar K. Shende
    2016 IEEE International Conference on Computational Intelligence and Computing Research Iccic 2016, 2017
  • Investigation of different approaches, feasible solutions, and estimates for disparate enterprise solution synchronization
    Nazneen Ansari, G. T. Thampi
    Proceeding IEEE International Conference on Computing Communication and Automation Iccca 2016, 2017
  • Integrating data mining with computer games
    Hycinta Andrat, Nazneen Ansari
    Proceeding IEEE International Conference on Computing Communication and Automation Iccca 2016, 2017
  • Traveling salesman problem for a bidirectional graph using dynamic programming
    Vivian Brian Lobo, Blety Babu Alengadan, Sehba Siddiqui, Annies Minu, Nazneen Ansari
    Proceedings 2016 International Conference on Micro Electronics and Telecommunication Engineering Icmete 2016, 2016
  • Risk Prediction of Disease Complications in Type 2 Diabetes Patients Using Soft Computing Techniques
    Aruna Pavate, Nazneen Ansari
    Proceedings 2015 5th International Conference on Advances in Computing and Communications Icacc 2015, 2016
  • Template creation to merge disparate software solutions by adapting software engineering principles
    Nazneen Ansari, G. T. Thampi
    Proceedings of the 2015 International Conference on Green Computing and Internet of Things Icgciot 2015, 2016
  • Multimedia enabled virtual classroom for distance education
    Vivian Brian Lobo, Nazneen Ansari
    Proceedings of the 2015 International Conference on Green Computing and Internet of Things Icgciot 2015, 2016
  • Data mining in online social games
    Nazneen Ansari, Maahi Talreja, Vaishali Desai
    Advances in Intelligent Systems and Computing, 2013