International Conference on Security, Surveillance and Artificial Intelligence (ICSSAI-2023): Proceedings of the International Conference on Security, Surveillance and Artificial Intelligence (ICSSAI-2023), Dec 1–2, 2023, Kolkata, India

The International Conference on Security, Surveillance & Artificial Intelligence (ICSSAI2023) was held in West Bengal, India during December 1–2, 2023. The conference was organized by the Techno India University, one of the renowned universities in the state of West Bengal which is committed for generating, disseminating and preserving knowledge.

Table of Contents:
1. SLASH: A Secure and Lightweight Authentication Scheme for Enhancing the Reliability of IoT-based Smart Healthcare Systems 2. Will Block Chain be Secured Post-Quantum Computing? 3. Study and Analysis of the Recent Trends for Security Mechanisms in Mobile Adhoc Network 4. Adaptive Threshold Based Robust Reversible Watermarking Technique 5. Enhancing Data Security in Cloud Storage: Utilizing Cryptographic Algorithms for Healthcare Industry 6. Blockchain as a Security Solution in the Internet of Vehicle: A Survey 7. A Novel Secure and Reliable 12T SRAM Memory Design for Biometric Information Processing Systems 8. BlockCure—An Anonymized Patient Data Sharing Platform Using Consortium Blockchain 9. Secure Embedded SRAM from Side Channel and Data Imprinting Attacks 10. A Brief Exploration on the Evolutions of Consensus Protocols in the Blockchain Architecture 11. Distributed Denial-of-Service Attacks Detection using Machine Learning Approaches 12. Efficient Attribute-based Unbounded Inner Product Functional Encryption for Many-authority Part 2 Survelience & Real Life Applications 13. FPGA Based Accelerator for Human Activity Recognition using LSTM 14. Multi-sensor Image Fusion using an Interconnected Auto-encoder like Network with Visible Edge Emphasis 15. Emotion Detection from EEG by Gated Recurrent Unit Along with Particle Swarm Optimization 16. A Technique for Aligning Thermal-visible Images by Utilizing a Bounding-box Matching Approach 17. Non-invasive Dietary Monitoring using Chewing Sounds 18. AttOnTrack: Estimating Sustained Attention using Visual and Facial Cues with Unmodified Webcams 19. Enhancing Object Detection through Target Orientation in Multi-sensor Images 20. A Comprehensive Study on Internet of Vehicles Intelligent Systems with Machine Learning Model Development 21. IoT-based Smart Door System for Contactless Face Mask and Body Temperature Monitoring in Public Spaces: A Secure Framework for Enhanced Health Safety 22. Enhancing Road Safety: Pothole Detection and Traffic Efficiency using YOLOv8 Deep Learning Model 23. Through Internet of Thing and UAV Technology, Automation Enables Smart Agricultural Analysis Based on a Range of Methodologies and Applications 24. Finding Optimum Number of Pollution Measurement Stations Using the Multi-Layer Perceptron Classifier Part 3 Artificial Intelligence & Industrial Applications 25. Energy Efficient Task Execution Through Edge Federation Utilizing Simulated Annealing 26. Improving Sentiment Prediction and Opinion Mining using Combined Review Datasets 27. Identifying Diseased Fish using Improved CNN 28. Robot Learning and Adaptation using Artificial Intelligence (AI) and Machine Learning (ML): Review 29. Physics Informed Neural Network (PINN) for Load Reconstruction for Vibrating Pipes in Process Plants 30. Dense Recognition of Offline Unconstrained Devanagari Handwriting 31. Comparative Analysis of Electric and Hybrid Vehicles: A Review 32. Hallucination Reduction in Long Input Text Summarization 33. Detection of Diseases in Mango Leaves Based on Different Classification Algorithms and their Comparisons using Machine Learning 34. An Extensive Review on the Controller Design Strategies for Non-Linear Systems 35. Analytical Detection of Volatile Organic Compound by Supervised Learning Methods 36. Fake News Detection in Social Media: A Literary Review 37. Optimization of a Trapezoidal Fuzzy and Time-based Multi-objective Optimization Problem for yi-out-of-ni Systems 38. Pneumonia Detection from Chest X-ray Plates using Attention-based CNN Architecture 39. Statistical Approaches and Framework for Meta-analysis: A Brief Review 40. A Fresh Approach using the Dijkstra and A-star Algorithms to Look up Dominant Failure Sequences in Structures 41. Indoor Air Quality Monitoring System for Asthma Patients 42. WeeCare—secure Online Home and Car Maintenance Application using Flutter 43. Image Segmentation And Medical Image Analysis Using Deep Learning And Convolution Neural Network: A Review 44. Parkinson’s Disease Prediction from Voice Data using DNN and Bagging: An Integrated Approach 45. Glaucoma Detection using Deep Learning Approach 46. Bio Geography Based Optimization with Improved Initial Operator for Multiple Sequence Alignment

About the Author :
Dr. Debasis Chaudhuri presently working as a Professor in the Department of Computer Science & Engineering, Techno India University, West Bengal. Before that He was the senior scientist and Deputy General Manager at DRDO Integration Centre, Panagarh, West Bengal in the Rank of Joint Secretory, Ministry of Defense, Govt. of India. He was Project scientist at Indian Statistical Institute, Kolkata. He was involved in ISI-ADRIN Project, Dept. of Space, Govt. of India in the year of 1994 to June 1996. He worked as professor at Defense Institute of Advance Technology (Deemed University) Pune forInformation Classification: Generalone and half years during 2001–July 2004. He was visiting Professor at University of Nebraska, USA during Aug 2003–2004. He worked at Integrated Test Range (ITR), Chandipur for one year during January 2005—December 2005. He was the senior scientist and DGM at DRDO Integration Centre, Panagarh from July 2014 to 31st October 2021. Dr. Jan-Harm Pretorius obtained his BSc Hons (Electrotechnics) (1980), MIng (1982) and DIng (1997) degrees in Electrical and Electronic Engineering at the Rand Afrikaans University and an MSc (Laser Engineering and Pulse Power) at the University of St Andrews in Scotland (1989), the latter cum laude. He is a trained Baldrige (USA) and South African Excellence Foundation (SAEF) assessor. He worked at the South African Atomic Energy Corporation (AEC) as a Senior Consulting Engineer for 15 years. He also worked as the Technology Manager at the Satellite Applications Centre (SAC) of the Council for Scientific and Industrial Research (CSIR). He is currently a Professor and Head of School: Postgraduate School of Engineering Management in the Faculty of Engineering and the Built Environment. He has co-authored over 240 research papers and supervised 50 PhD and over 260 Master’s students. He is a registered professional engineer, professional Measurement and Verification (M&V) practitioner, senior member of the Institute of Electrical and Electronic Engineering (IEEE), fellow of the South African Institute of Electrical Engineers (SAIEE) and a fellow of the South African Academy of Engineering. Dr. Debashis Das is currently working as an Associate Professor and Head of the Department in the department of Computer Science & Engineering at Techno India University, West Bengal. He did his PhD from IIT(ISM) Dhanbad in 2017. His research interest is in Image Processing, Biometric Security and Steganography. He is associated with a project on Vision based Surveillance funded by DRDO, Govt. of India. He also served as a reviewer for a number of peer reviewed journals and conferences. He is the life member of Indian Society for Technical Education (ISTE) and member of IEEE. Mr. Sauvik Bal currently working as an Assistant Professor in the Department of Computer Science & Engineering, Techno India University, West Bengal. Prior to that he worked in Haldia Institute of Technology, West Bengal and University of Engineering & Management, Jaipur. He received his Master degree in Computer Science & Engineering from Maulana Abul Kalam Azad University of Technology (formerly known as West Bengal University of Technology), in 2015. In both the UG and PG levels, he has Eight years of teaching and research experience. His research interest is in Natural Language Processing, Machine Learning, Deep Learning. He is a professional Member of ACM, Life Member of Indian Society for Technical Education (ISTE), Member of Computer Science Teachers Association, and International Association of Engineers. He attached with various international conferences.