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
Srabana Pramanik, Sandip Roy, and Soumya Banerjee

2. Will Block Chain be Secured Post-Quantum Computing?
Amrit Mukherjee, Pratik Goswami, Rudolf Vohnout, Ivo Bukovsky, and Ondre Budik

3. Study and Analysis of the Recent Trends for Security Mechanisms in Mobile Adhoc Network
Bidisha Banerjee and Sarmistha Neogy

4. Adaptive Threshold Based Robust Reversible Watermarking Technique
Alina Dash, Kshiramani Naik, and Priyanka Priyadarshini

5. Enhancing Data Security in Cloud Storage: Utilizing Cryptographic Algorithms for Healthcare Industry
Shrabani Sutradhar, Sunil Karforma, Rajesh Bose, and Sandip Roy

6. Blockchain as a Security Solution in the Internet of Vehicle: A Survey
Sayan Sen Sarma

7. A Novel Secure and Reliable 12T SRAM Memory Design for Biometric Information Processing Systems
Priyanka Sharma, Vaibhav Neema, and Nitesh Kumar Soni

8. BlockCure—An Anonymized Patient Data Sharing Platform Using
Consortium Blockchain
Shivesh Krishna Mukherjee, Maheak Dave, Rituparna Bhattacharya,
and Jayanta Poray

9. Secure Embedded SRAM from Side Channel and Data
Imprinting Attacks
Aastha Gupta, Ravi Sindal, Vaibhav Neema, and Ashish Panchal

10. A Brief Exploration on the Evolutions of Consensus Protocols in the
Blockchain Architecture
Suvrojyoti Biswas and Rituparna Bhattacharya

11. Distributed Denial-of-Service Attacks Detection using Machine
Learning Approaches
Arpita Shome and Munmun Bhattacharya

12. Efficient Attribute-based Unbounded Inner Product Functional
Encryption for Many-authority
Prashnatita Pal, Kalyan Adhikary, Rituparna Bhattacharya, and
Jayanta Poray

Part 2
Survelience & Real Life Applications

13. FPGA Based Accelerator for Human Activity Recognition
using LSTM
Pradipta Roy

14. Multi-sensor Image Fusion using an Interconnected Auto-encoder like
Network with Visible Edge Emphasis
A. K. Singh, D. Chaudhuri, M. P. Singh,S. Mitra, and
B. B. Chaudhuri

15. Emotion Detection from EEG by Gated Recurrent Unit Along
with Particle Swarm Optimization
Madhuchhanda Basak, Diptadip Maiti, and Debashis Das

16. A Technique for Aligning Thermal-visible Images by
Utilizing a Bounding-box Matching Approach
A. K. Singh, D. Chaudhuri, M. P. Singh,S. Mitra, and
B. B. Chaudhuri

17. Non-invasive Dietary Monitoring using Chewing Sounds
Saubhik Bandyopadhyay, Ujjwal Mandal, Pratham Majumder, and Punyasha Chatterjee

18. AttOnTrack: Estimating Sustained Attention using Visual and
Facial Cues with Unmodified Webcams
Pragma Kar, Souvik Halder, and Saugat Bhattacharyya

19. Enhancing Object Detection through Target Orientation
in Multi-sensor Images
A. Pareek and D. Chaudhuri

20. A Comprehensive Study on Internet of Vehicles Intelligent
Systems with Machine Learning Model Development
Metuku Pranudeep, Harsha Lokesh,Ramanathan Lakshmanan,
and Murali Subramanian

21. IoT-based Smart Door System for Contactless Face Mask and Body Temperature Monitoring in Public Spaces: A Secure Framework for Enhanced Health Safety
Subhadip Nandi, Sunil Karforma, Rajesh Bose, and Sandip Roy

22. Enhancing Road Safety: Pothole Detection and Traffic
Efficiency using YOLOv8 Deep Learning Model
A. Naveen Kumar, J. Akilandeswari, P R Mathangi,
S Dhanush Prabhu, Kavya P, and Ashwin Kumar V

23. Through Internet of Thing and UAV Technology, Automation Enables Smart Agricultural Analysis Based on a Range of Methodologies and Applications
Monojit Manna, Subrata Dutta, Arindam Giri, Anwesa Naskar,
Soumya Paul, and Animesh Samanta

24. Finding Optimum Number of Pollution Measurement Stations
Using the Multi-Layer Perceptron Classifier
Agnish Mallick, Sukumar Chakrabarty, and Jayanta Poray

Part 3
Artificial Intelligence & Industrial Applications

25. Energy Efficient Task Execution Through Edge Federation Utilizing Simulated Annealing
Arpita Ray, Raksha Prasad, Chandreyee Chowdhury, and Sarbani Roy

26. Improving Sentiment Prediction and Opinion Mining using Combined
Review Datasets
Kartick Chandra Mondal, Jayeeta Choudhury, and Hrishav B. Barua

27. Identifying Diseased Fish using Improved CNN
Souvik Halder

28. Robot Learning and Adaptation using Artificial Intelligence (AI) and
Machine Learning (ML): Review
K. Viswanath Allamraju, K. Satyanarayana, T. Ravi Kiran, and
Manepalli Sailaja

29. Physics Informed Neural Network (PINN) for Load Reconstruction
for Vibrating Pipes in Process Plants
Subrata Saha

30. Dense Recognition of Offline Unconstrained Devanagari Handwriting
Bappaditya Chakraborty, Soumitra Roy, and
Ujjwal Bhattacharya

31. Comparative Analysis of Electric and Hybrid Vehicles: A Review
Shweta Goyal, Abhishek Chakravorty, Vrij Mohan Vidhyarthi,
Nanse, and Sheetal kapoor

32. Hallucination Reduction in Long Input Text Summarization
Tohida Rehman, Ronit Mandal, Abhishek Agarwal, and
Debarshi Kumar Sanyal

33. Detection of Diseases in Mango Leaves Based on Different Classification
Algorithms and their Comparisons using Machine Learning
Pintu Das, Mausumi Maitra (Mazumdar),
Sudarshan Chakraborty, and Rajarshi Sanayal

34. An Extensive Review on the Controller Design Strategies for
Non-Linear Systems
Prashant Nigam, Nidhi Singh, and Lillie Dewan

35. Analytical Detection of Volatile Organic Compound by Supervised
Learning Methods
Paramita Chowdhury, Sunipa Roy, and Utpal Biswas

36. Fake News Detection in Social Media: A Literary Review
Anudeepa Gon and Sangeeta Bhattacharya

37. Optimization of a Trapezoidal Fuzzy and Time-based Multi-objective Optimization Problem for yi-out-of-ni Systems
Satyajit De and Anil Bikash Chowdhury

38. Pneumonia Detection from Chest X-ray Plates using
Attention-based CNN Architecture
Maheak Dave, Saurabh Kumar Sharma, and Abhishek Majumdar

39. Statistical Approaches and Framework for Meta-analysis:
A Brief Review
Tanushree Chakraborty, Kartick Chandra Mondal, and Abhijit Sarkar

40. A Fresh Approach using the Dijkstra and A-star Algorithms
to Look up Dominant Failure Sequences in Structures
Minangshu Baidya, Baidurya Bhattacharya,
Trisha Chakravorty, and Aritra Chatterjee

41. Indoor Air Quality Monitoring System for Asthma Patients
Avishek Banerjee, Ramesh P Sah, Santanu Metia,
Annesha Chakraborty, Arnab Mitra, and Tanmay Bhowmik

42. WeeCare—secure Online Home and Car Maintenance
Application using Flutter
Debankan Mandal, Sanjoy Maity, and
Monalisa Banerjee

43. Image Segmentation And Medical Image Analysis
Using Deep Learning And Convolution Neural Network: A Review
Pritusna Banik, Rupak Chakraborty, Arpita Dutta,
Ratul Dey, and Md. Abdul Aziz Al Aman

44. Parkinson’s Disease Prediction from Voice Data
using DNN and Bagging: An Integrated Approach
Aishwarya Barik, Kasturi Nandi, Rehana Mullick,
Chandra Das, and Shilpi Bose

45. Glaucoma Detection using Deep Learning Approach
Shubhajoy das andDebashish das

46. Bio Geography Based Optimization with Improved Initial
Operator for Multiple Sequence Alignment

Rajeev Kumar Pathak, Ratan Mani Prasadand
Rohit Kumar Yadav

Biography

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.