Surabhi Saxena received the Ph.D. degree from the Department of Computer Application, Babu Banarasi Das University, Lucknow, India, in 2021. She is currently an Assistant Professor with the Department of Computer Science and Engineering, CHRIST University, Central Campus, Bengaluru, India. She has more than five years of teaching experience and six years of research experience. She has one national patent. Her research has been recorded in over 20 journal publications and international conferences and five international conference reviewers. Her research and publication interests include artificial intelligence, machine learning, security software quality software, software engineering, and soft computing. She is also working in the areas of e-commerce, e-governance, hybrid data security system, voronoi partitioning, deep learning, data science, and the IoT. She is a Life Time Member of IAENG and IACSIT. She is also the Editor-in-Chief and an Editor of Blue Eyes Publications and a Soft
EDUCATION
Dr Surabhi Saxena received the Ph.D. degree from the Department of Computer Application, Babu Banarasi Das University, Lucknow, India, in 2021. She is currently an Assistant Professor with the Department of Computer Science and Engineering, CHRIST University, Central Campus, Bengaluru, India. She has more than five years of teaching experience and six years of research experience. She has one national patent. Her research has been recorded in over 20 journal publications and international conferences and five international conference reviewers
RESEARCH, TEACHING, or OTHER INTERESTS
Computer Science, Artificial Intelligence, Computer Science Applications, Information Systems
SIDNet: A SQL Injection Detection Network for Enhancing Cybersecurity Debendra Muduli, Shantanu Shookdeb, Abu Taha Zamani, Surabhi Saxena, Anuradha Shantanu Kanade, et al. IEEE Access, 2024 SQL (Structured Query Language) injection is one of the most prevalent and dangerous forms of cyber-attacks, posing significant threats to database management systems and the overall security of web applications. By exploiting vulnerabilities in web applications, attackers can execute malicious SQL statements, potentially compromising the integrity and confidentiality of critical data. To combat these threats, in this study, we introduce two novel CNN models, SIDNet-1 (SQL Injection-attack Detection Network-1) and SIDNet-2 (SQL Injection-attack Detection Network-2), specifically designed for the classification of SQL injection attacks to bolster web application security. Our comprehensive evaluation includes a comparison of the performance of these customized CNN models against traditional machine learning approaches, highlighting improvements in classification accuracy and reductions in false alarm rates. The proposed models have been experimented with two publicly available dataset SQLI (SQL-Injection) and SQLV2 (SQL-Injection version2). Specifically, SIDNet-1 achieves an impressive accuracy of 98.02% on the SQLI dataset, while SIDNet-2 closely follows with 97.54%. Furthermore, on the SQLIV2 dataset, SIDNet-1 attains 97.77%, and SIDNet-2 achieves 97.83% accuracy respectively.
Electronic Copy Technologies for IoT Machinery Armstrong Joseph J, Gaurav Dhiman, Surabhi Saxena, Sachin K. Korde, Narinder Kumar Bhasin Proceedings of the 2022 International Conference on Innovative Computing Intelligent Communication and Smart Electrical Systems Icses 2022, 2022
Hybrid Cloud Computing for Data Security System Surabhi Saxena, Diwakar Yagyasen, Ch Naga Saranya, Raja Sarath Kumar Boddu, Amit Kumar Sharma, et al. 2021 International Conference on Advancements in Electrical Electronics Communication Computing and Automation Icaeca 2021, 2021
ANFIS-Based Multi-Sensor Data Fusion Model for Optimized Autonomous Vehicle Navigation Using Big Data and Filtering Techniques S Kumar, A Ranjan, S Saxena, Ashish Mobile Networks and Applications, 1-15 , 2026 2026
Development of a VR-Based Solid Waste Management Awareness Platform Utilizing YOLOv12 and MSCNN S Jain, K Suresh, N Singhal, S Saxena 2026 2nd International Conference on Cognitive Computing in Engineering … , 2026 2026
Computer peripheral device with display screen DMUK Mohammad Zunnun Khan, DR SURABHI SAXENA, Dr. Sangeeta Mishra 2026
Evaluate Machine Learning Techniques for Early Disease of Cardiovascular Disease MT Sushmitha, S Saxena, N Singhal 2025 5th International Conference on Mobile Networks and Wireless … , 2025 2025
Visualization of Data Structures and Algorithms with Dynamic Memory Allocation EM Tom, N Singhal, S Saxena 2025 IEEE 7th International Conference on Computing, Communication and … , 2025 2025
Latency Reduction and Input Prediction for Cloud Gaming Clients GG Payankan, N Singal, S Saxena 2025 International Conference on Transformative Computing Technologies … , 2025 2025
An explainable AI-based framework for predicting and optimizing blast-induced ground vibrations in surface mining CK Ala, ZL Mayaluri, A Kaushik, N Parveen, S Saxena, AT Zamani, ... Results in Engineering 27, 106046 , 2025 2025 Citations: 6
Particle swarm optimization approach to heterogeneous function T Niharika, SS Mehboob, KDM Suchindhra, K Guntapalli, N Parveen, ... Recent Advances in Sciences, Engineering, Information Technology … , 2025 2025
An Explainable AI Techniques for Advancing Diabetes Prediction Using Machine Learning S Saxena, N Parveen, BNK Yarlagadda, ASS Srujan, MA Kumar, ... 2025 International Conference on Intelligent Control, Computing and … , 2025 2025 Citations: 2
SIDNet: A SQL injection detection network for enhancing cybersecurity D Muduli, S Shookdeb, AT Zamani, S Saxena, AS Kanade, N Parveen, ... Ieee Access 12, 176511-176526 , 2024 2024 Citations: 10
Brain Tumor Classification Using an Ensemble of Deep Learning Techniques SGK Patro, N Govil, S Saxena, BK Mishra, AT Zamani, AB Miled, ... IEEE Access 12 , 2024 2024 Citations: 32
Heterogeneous data-based information retrieval using a fine-tuned pre-trained BERT language model A Shaik, S Saxena, M Gupta, N Parveen Multimedia Tools and Applications 83 (21), 59537-59559 , 2024 2024 Citations: 3
Transforming transportation: Embracing the potential of 5G, heterogeneous networks, and software defined networking in intelligent transportation systems S Saxena, RR Chandan, R Krishnamoorthy, U Kumar, P Singh, ... Journal of Autonomous Intelligence 7 (4) , 2024 2024 Citations: 20
Medical image analysis using deep learning technnique S Saxena, N Parveen, D Agarwal Proceedings of the 5th International Conference on Information Management … , 2023 2023 Citations: 2
Online Crop Doctor using Machine Learning and Deep Learning P Narayana, S Saxena 2023 2nd International Conference on Applied Artificial Intelligence and … , 2023 2023 Citations: 5
Real estate property price estimator using machine learning UB Disha, S Saxena 2023 International Conference on Computational Intelligence and Sustainable … , 2023 2023 Citations: 4
Security in IoT layers: Emerging challenges with countermeasures SA Ansar, S Arya, S Aggrawal, S Saxena, A Kushwaha, PC Pathak Computer vision and robotics: Proceedings of CVR 2022, 551-563 , 2023 2023 Citations: 22
Machine learning algorithms for diabetes detection: a comparative evaluation of performance of algorithms S Saxena, D Mohapatra, S Padhee, GK Sahoo Evolutionary intelligence 16 (2), 587-603 , 2023 2023 Citations: 42
Project-based learning: Design of data acquisition module for greenhouse system D Mohapatra, S Padhee, S Saxena, B Patnaik International Journal of Electrical Engineering & Education 60 (2), 168-187 , 2023 2023 Citations: 7
Detection of number plate in vehicles using deep learning based image labeler model SK Gupta, S Saxena, A Khang, B Hazela, CK Dixit, B Haralayya 2023 International Conference on Recent Trends in Electronics and … , 2023 2023 Citations: 18
MOST CITED SCHOLAR PUBLICATIONS
Hybrid cloud computing for data security system S Saxena, D Yagyasen, CN Saranya, RSK Boddu, AK Sharma, SK Gupta 2021 International Conference on Advancements in Electrical, Electronics … , 2021 2021 Citations: 94
Machine learning algorithms for diabetes detection: a comparative evaluation of performance of algorithms S Saxena, D Mohapatra, S Padhee, GK Sahoo Evolutionary intelligence 16 (2), 587-603 , 2023 2023 Citations: 42
Brain Tumor Classification Using an Ensemble of Deep Learning Techniques SGK Patro, N Govil, S Saxena, BK Mishra, AT Zamani, AB Miled, ... IEEE Access 12 , 2024 2024 Citations: 32
Deployment of autonomous vehicles in agricultural and using Voronoi partitioning S Tahilyani, S Saxena, DA Karras, SK Gupta, CK Dixit, B Haralayya 2022 International Conference on Knowledge Engineering and Communication … , 2022 2022 Citations: 27
Security in IoT layers: Emerging challenges with countermeasures SA Ansar, S Arya, S Aggrawal, S Saxena, A Kushwaha, PC Pathak Computer vision and robotics: Proceedings of CVR 2022, 551-563 , 2023 2023 Citations: 22
Transforming transportation: Embracing the potential of 5G, heterogeneous networks, and software defined networking in intelligent transportation systems S Saxena, RR Chandan, R Krishnamoorthy, U Kumar, P Singh, ... Journal of Autonomous Intelligence 7 (4) , 2024 2024 Citations: 20
Detection of number plate in vehicles using deep learning based image labeler model SK Gupta, S Saxena, A Khang, B Hazela, CK Dixit, B Haralayya 2023 International Conference on Recent Trends in Electronics and … , 2023 2023 Citations: 18
A novel computation offloading under 6G LEO satellite-UAV-based IoT K Jaiswal, A Dahiya, S Saxena, V Singh, A Singh, A Kushwaha 2022 3rd International Conference on Computation, Automation and Knowledge … , 2022 2022 Citations: 11
SIDNet: A SQL injection detection network for enhancing cybersecurity D Muduli, S Shookdeb, AT Zamani, S Saxena, AS Kanade, N Parveen, ... Ieee Access 12, 176511-176526 , 2024 2024 Citations: 10
Confidentiality assessment model to estimate security during effective E-procurement process S Saxena, D Agarwal International Journal of Computer Sciences and Engineering (IJCSE) 6 (1 … , 2018 2018 Citations: 8
Project-based learning: Design of data acquisition module for greenhouse system D Mohapatra, S Padhee, S Saxena, B Patnaik International Journal of Electrical Engineering & Education 60 (2), 168-187 , 2023 2023 Citations: 7
An explainable AI-based framework for predicting and optimizing blast-induced ground vibrations in surface mining CK Ala, ZL Mayaluri, A Kaushik, N Parveen, S Saxena, AT Zamani, ... Results in Engineering 27, 106046 , 2025 2025 Citations: 6
Online Crop Doctor using Machine Learning and Deep Learning P Narayana, S Saxena 2023 2nd International Conference on Applied Artificial Intelligence and … , 2023 2023 Citations: 5
Realiability Assessment Model to Estimate Quality of the Effective E-Procurement Process in Adoption S Saxena, D Agarwal International Journal of Scientific Research in Network Security and … , 2018 2018 Citations: 5
Model to quantify security for adoption of effective e-procurement process S Saxena, D Agarwal Journal of Emerging Technologies and Innovative Research (JETIR) 5 (5), 792-796 , 2018 2018 Citations: 5
A Systematic Literature Review on Software Reliability Estimation Model for Measuring the Effectiveness of Object Oriented Design S Saxena, DD Agarwal International Journal of Advanced Research in Computer and Communication … , 2017 2017 Citations: 5
Real estate property price estimator using machine learning UB Disha, S Saxena 2023 International Conference on Computational Intelligence and Sustainable … , 2023 2023 Citations: 4
A modern approach to building a data science framework delivery pipeline using DevOps practices S Saxena, SK Gupta, S Poongodi, P Singh Turkish Journal of Computer and Mathematics Education 12 (11), 2507-2521 , 2021 2021 Citations: 4
Completeness assessment model to estimate quality of the effective e-procurement process in adoption S Saxena, D Agarwal International Journal of Management, IT and Engineering 8 (6), 369-380 , 2018 2018 Citations: 4
A Critical Literature Survey on Factors that Effecting E-Procurement Software S Saxena, D Agarwal International Journal of Advanced Research in Computer Engineering … , 2018 2018 Citations: 4