E-raamat: 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

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. BlockCureAn 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.
WeeCaresecure 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. Parkinsons 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

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 2001July 2004. He was visiting Professor at University of Nebraska, USA during Aug 20032004. He worked at Integrated Test Range (ITR), Chandipur for one year during January 2005December 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 Masters 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.