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Soft Computing for Security Applications

Proceedings of ICSCS 2022

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. G. Ranganathan

    1. Department of Electronics and Communication Engineering, Gnanamani College of Technology, Namakkal, India

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  2. Xavier Fernando

    1. Ryerson Communications Lab, Toronto, Canada

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  3. Selwyn Piramuthu

    1. Department of Information Systems, University of Florida, Gainesville, USA

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    You can also search for this editor in PubMed   Google Scholar

  • Presents research works in the field of soft computing for security applications
  • Provides original works presented at ICSCS 2022 held in Salem, India
  • Serves as a reference for researchers and practitioners in academia and industry

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1428)

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Table of contents (59 papers)

  1. Front Matter

    Pages i-xvi
    Download chapter PDF

  2. Smart Question Paper Evaluation: Automated Approach Using the Jaccard Similarity

    • V. Lalitha Lakshmi, S. Hrushikesava Raju, S. Srujan, R. V. V. N. Bheema Rao, K. Venkata Raju
    Pages 1-15

  3. Smart Patterns: Searching a Pattern in the Unknown Environment Using Hybrid Framework

    • D. Naga Malleswari, S. Hrushikesava Raju, Vijaya Chandra Jadala, G. Subba Rao, P. Seetha Rama Krishna, Venkata Naresh Mandhala
    Pages 17-29

  4. Image Processing Techniques for PCB Board Fault Analysis with Object Extraction and Measurements

    • Himanshu Shekhar, Matta Jagadish, Shaik Mohammad Fahanus, T. Sunil Kumar
    Pages 31-40

  5. Gamification of Knowledge Management System: A Framework to Incentivize Knowledge Sharing for the Software Industry

    • Siddhish Lobin, Roopesh Kevin Sungkur
    Pages 41-56

  6. Privacy Attributes Aware Framework in Information Disclosure Models for Public During Pandemic

    • Manas Kumar Yogi, Pennada Siva Satya Prasad, Yamuna Mundru
    Pages 57-71

  7. Role of Resource Description Framework in Knowledge Discovery in World Wide Web

    • Poornima G. Naik, Kavita S. Oza
    Pages 73-82

  8. A Comparative Analysis of Deep Learning-Based Frameworks for Face Vitality Detection

    • Deepika Sharma, Arvind Selwal
    Pages 83-96

  9. Prediction of Students Programming Performance Using Naïve Bayesian and Decision Tree

    • M. Sivasakthi, K. R. Anantha Padmanabhan
    Pages 97-106

  10. The Investigation of Network Security, Including Penetrating Threats and Potential Security Measures

    • N. L. Lincy, Midhunchakkaravarthy
    Pages 107-117

  11. A Review on Rice Quality Analysis

    • Sowmya Natarajan, Vijayakumar Ponnusamy
    Pages 119-133

  12. Hybrid MPPT-Based Efficiency Improvement of Renewable Energy System Using Step-Up Converter

    • U. Arun Kumar, G. Mahendran, C. S. Ravichandran
    Pages 135-143

  13. A Review to Enhance Operations in an Airport with a Deep Learning and Computer Vision Approach

    • R. Arun Kumaar, S. Malavika, S. Monisha, B. Sowmiya Bharani, M. Devanathan
    Pages 145-153

  14. Comparative Analysis of Diabetes Prediction Using Machine Learning

    • S. Alex David, V. Varsha, Y. Ravali, N. Naga Amrutha Saranya
    Pages 155-163

  15. A Review on Multiparameter Sensor Design for Biomedical SoC Applications

    • Sahana M. Kulkarni, S. Jamuna
    Pages 165-180

  16. Towards Design of a Novel Android Malware Detection Framework Using Hybrid Deep Learning Techniques

    • Gourab Dhabal, Govind Gupta
    Pages 181-193

  17. A Survey: Secure Cloud Data Storage and Access Control System Using Blockchain

    • Kashyap Patel, Ritiksha Modi, Shital Sharma, Minal Patel
    Pages 195-207

  18. A Rule-Based Adaptive Mobile Application to Learn Android in a Personalized Learning Environment

    • Frederic Seneque, Roopesh Kevin Sungkur
    Pages 209-222

  19. Missing Data Imputation Using Ensemble Learning Technique: A Review

    • K. Jegadeeswari, R. Ragunath, R. Rathipriya
    Pages 223-236

  20. Forensic Analysis of Images on Online Social Network: A Survey

    • Khushaima Hilal, Ezan Abdullah
    Pages 237-255
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Keywords

About this book

This book features selected papers from the International Conference on Soft Computing for Security Applications (ICSCS 2022), held at Dhirajlal Gandhi College of Technology, Tamil Nadu, India, during April 21–22, 2022. It covers recent advances in the field of soft computing techniques such as fuzzy logic, neural network, support vector machines, evolutionary computation, machine learning and probabilistic reasoning to solve various real-time challenges. This book presents innovative work by leading academics, researchers, and experts from industry.

Editors and Affiliations

  • Department of Electronics and Communication Engineering, Gnanamani College of Technology, Namakkal, India

    G. Ranganathan

  • Ryerson Communications Lab, Toronto, Canada

    Xavier Fernando

  • Department of Information Systems, University of Florida, Gainesville, USA

    Selwyn Piramuthu

About the editors

Dr. G. Ranganathan is working as Professor and Head in Gnanamani College of Engineering and Technology, Namakkal, India. He has done his Ph.D. in the Faculty of Information and Communication Engineering from Anna University, Chennai in the year 2013. His research thesis was in the area of bio-medical signal processing. He has total of 29+ years of experience in industry, teaching, and research. He has guided several project works for many UG and PG students in the areas of bio-medical signal processing. He has published more than 35 research papers in international and national journals and conferences. He has also co-authored many books in electrical and electronics subjects. He has served as Referee for many reputed International Journals published by Elsevier, Springer, Taylor, and Francis, etc. He has membership in various professional bodies like ISTE, IAENG, etc., and has actively involved himself in organizing various international- and national-level conferences, symposiums, seminars, etc.


Dr. Xavier Fernando is Director of Ryerson Communications Lab that has received total research funding of $3,185,000.00 since 2008 from industry and government (including joint grants). He has (co-)authored over 200 research articles, three books (one translated to Mandarin), several book chapters and holds few patents. The present and past members and affiliates of this lab can be found at this LinkedIn group and Facebook page. He was IEEE Communications Society Distinguished Lecturer and has delivered over 50 invited talks and keynote presentations all over the world. He was a member in the IEEE Communications Society (COMSOC) Education Board Working Group on Wireless Communications. He was Chair of IEEE Canada Humanitarian Initiatives Committee 2017–2018. He was also Chair of the IEEE Toronto Section and IEEE Canada Central Area.


Selwyn Piramuthu is Professor of Information Systems and Operations Management at the University of Florida, where he has taught since Fall 1991. Trained in machine learning, his research interests also include cryptography with applications related to IoT/RFID, privacy/security, supply chain management, among others. His (co-authored with Wei Zhou) book titled, RFID and Sensor Network Automation in the Food Industry was published by Wiley in 2016. He received his B.Tech., M.S., and Ph.D., respectively, from IIT-Madras, University of Arizona, and University of Illinois at Urbana-Champaign.



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