Proceedings of Fifth International Conference on Computing, Communications, and Cyber-Security (eBook, PDF)
IC4S’05 Volume 1
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Proceedings of Fifth International Conference on Computing, Communications, and Cyber-Security (eBook, PDF)
IC4S’05 Volume 1
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This book features selected research papers presented at the Fifth International Conference on Computing, Communications, and Cyber-Security (IC4S'05), organized in India, during 29 February to 1 March, 2024. The conference was hosted at SMVDU, Katra, J&K, India . It includes innovative work from researchers, leading innovators, and professionals in the areas of communication and network technologies, advanced computing technologies, data analytics and intelligent learning, the latest electrical and electronics trends, and security and privacy issues. The work is presented in two volumes.
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This book features selected research papers presented at the Fifth International Conference on Computing, Communications, and Cyber-Security (IC4S'05), organized in India, during 29 February to 1 March, 2024. The conference was hosted at SMVDU, Katra, J&K, India . It includes innovative work from researchers, leading innovators, and professionals in the areas of communication and network technologies, advanced computing technologies, data analytics and intelligent learning, the latest electrical and electronics trends, and security and privacy issues. The work is presented in two volumes.
Produktdetails
- Produktdetails
- Verlag: Springer Nature Singapore
- Seitenzahl: 965
- Erscheinungstermin: 30. Juli 2024
- Englisch
- ISBN-13: 9789819725502
- Artikelnr.: 71341135
- Verlag: Springer Nature Singapore
- Seitenzahl: 965
- Erscheinungstermin: 30. Juli 2024
- Englisch
- ISBN-13: 9789819725502
- Artikelnr.: 71341135
Dr. Sudeep Tanwar is a Professor in the Computer Engineering Department at the Institute of Technology of Nirma University, Ahmedabad, India. He received his Ph.D. in 2016 from the Faculty of Engineering and Technology, Mewar University, India, with a specialization in Wireless Sensor Networks. His current interests include routing issues in WSN, integration of sensors in the cloud, computational aspects of smart grids, and Blockchain Technology. He has authored or co-authored more than 150+ technical research papers published in leading Peer-reviewed International journals and International Conferences from the IEEE, Elsevier, Springer, John Wiley and has authored five books: He is recipient of the Best Research Paper awards from IEEE GLOBECOM-2018 and Springer ICRIC-2019. He is a TPC member and reviewer of many international conferences across the globe. He is an associate editor of the Security and Privacy Journal, and is a member of the IAENG, ISTE, and CSTA. He has Google scholar citations 8405, H-index 52 and i-10 Index 140.
Dr. Pradeep Kumar Singh is currently working as an Associate Professor Computer Science and Engineering, Central University of Jammu, J&K, India. He is Associate Editor of the IJISMD, [IJISMD is indexed by Scopus & Web of Science], IJAEC, IGI Global USA, SPY, Wiley & IJISC from Romania. He is recently appointed as a Section Editor, Discover IoT, Springer Journal. He has published nearly 200 research papers. He has received three sponsored research projects grant worth Rs 25 Lakhs. He has edited a total 16 books from Springer and Elsevier and also edited several special issues for SCI and SCIE Journals from Elsevier and IGI Global. He has Google scholar citations 3250, H-index 27 and i-10 Index 62.
Dr. Maria Ganzha is an Associate Professor in the Faculty of Mathematics and Information Science. She has an MS and a PhD degrees in Mathematics from the Moscow State University, Russia, and a Doctor of Sciencedegree (in Computer Science) from the Polish Academy of Sciences. Maria has published more than 200 research papers, is on editorial boards of 6 journals and a book series, and was invited to program committees of more than 150 conferences. She is also the Principal Investigator, of the SRIPAS team, in the INTER-IoT project. Here, her team is responsible for use of semantic technologies in the context of interoperability of IoT platforms. She has 1594 google citations, h-index 19 and i-10 index 58 in her account. Her area of interest includes computational intelligence, distributed systems, agent based computing and semantic data processing.
Dr. Gregory Epiphaniou currently holds a position as an Associate Professor of security engineering at the University of Warwick. His role involves bid support, applied research and publications. Part of his current research activities is formalised around a research group in wireless communications with the main focus on crypto-key generation, exploiting the time-domain physical attributes of V-V channels. He led and contributed to several research projects funded by EPSRC, IUK and local authorities totalling over £8M. He is also the main inventor of a patented-pending technology on a distributed ledger system (GB2576160A/US200042497A1). He was previously holding a position as a Reader in Cybersecurity and acted as deputy director of the Wolverhampton Cybersecurity Research Institute (WCRI). He has taught in many universities both nationally and internationally in a variety of areas related to proactive network defence with over 120 international publications in journals and conference proceedings and author in several books and chapters. He holds several industry certifications in Information Security and worked with several government agencies, including the UK MoD, in Cybersecurity related projects. He currently holds a subject matter expert panel position in the Chartered Institute for Securities and Investments. He acts as a technical committee member for several scientific conferences in Information and network security. He serves as a key member in the development of WS5 for the formation of the UK Cybersecurity Council.
Dr. Pradeep Kumar Singh is currently working as an Associate Professor Computer Science and Engineering, Central University of Jammu, J&K, India. He is Associate Editor of the IJISMD, [IJISMD is indexed by Scopus & Web of Science], IJAEC, IGI Global USA, SPY, Wiley & IJISC from Romania. He is recently appointed as a Section Editor, Discover IoT, Springer Journal. He has published nearly 200 research papers. He has received three sponsored research projects grant worth Rs 25 Lakhs. He has edited a total 16 books from Springer and Elsevier and also edited several special issues for SCI and SCIE Journals from Elsevier and IGI Global. He has Google scholar citations 3250, H-index 27 and i-10 Index 62.
Dr. Maria Ganzha is an Associate Professor in the Faculty of Mathematics and Information Science. She has an MS and a PhD degrees in Mathematics from the Moscow State University, Russia, and a Doctor of Sciencedegree (in Computer Science) from the Polish Academy of Sciences. Maria has published more than 200 research papers, is on editorial boards of 6 journals and a book series, and was invited to program committees of more than 150 conferences. She is also the Principal Investigator, of the SRIPAS team, in the INTER-IoT project. Here, her team is responsible for use of semantic technologies in the context of interoperability of IoT platforms. She has 1594 google citations, h-index 19 and i-10 index 58 in her account. Her area of interest includes computational intelligence, distributed systems, agent based computing and semantic data processing.
Dr. Gregory Epiphaniou currently holds a position as an Associate Professor of security engineering at the University of Warwick. His role involves bid support, applied research and publications. Part of his current research activities is formalised around a research group in wireless communications with the main focus on crypto-key generation, exploiting the time-domain physical attributes of V-V channels. He led and contributed to several research projects funded by EPSRC, IUK and local authorities totalling over £8M. He is also the main inventor of a patented-pending technology on a distributed ledger system (GB2576160A/US200042497A1). He was previously holding a position as a Reader in Cybersecurity and acted as deputy director of the Wolverhampton Cybersecurity Research Institute (WCRI). He has taught in many universities both nationally and internationally in a variety of areas related to proactive network defence with over 120 international publications in journals and conference proceedings and author in several books and chapters. He holds several industry certifications in Information Security and worked with several government agencies, including the UK MoD, in Cybersecurity related projects. He currently holds a subject matter expert panel position in the Chartered Institute for Securities and Investments. He acts as a technical committee member for several scientific conferences in Information and network security. He serves as a key member in the development of WS5 for the formation of the UK Cybersecurity Council.
Compatibility Checking To Adopt MANET in LoRaWAN For Long Range Connectivity.- A Novel FR4-Based Slot Antenna with Circular Metasurface for Aerospace CubeSats.- Enabling Modern IoT Solutions with RFID Devices via an Integrated Feeding Network-fed Ultra-Wide HPBW Patch Antenna Array.- Design and Fabrication of PCB based Proximity Sensors for Application in Automatic Railway Crossing System.- Security Threats & Data Protection Methods Used in Cloud Computing: A Review.- Load Balancing Algorithms for Cloud Computing Performance: a Review.- Seamless Mobility: Innovating the Digital Service Landscape in Telecom Industry.- Pandemic Pulse: Unveiling Insights with the Global Health Tracker through AI & ML.- A Systematic Review of Deepfake Detection Using Learning Techniques And Vision Transformer.- Optimizing Graph Colorings: Unleashing the Power of Heuristic Algorithms for Enhanced Problem Solving.- Enhanced Detection of Alzheimer's and Mild Cognitive Impairment: Leveraging Advanced Preprocessing and Convolutional Neural Networks.- Classification of dry beans into Genetic Varieties using deep learning-based Convolutional Neural Networks (CNNs).- Navigating the Realm of Generative Models: GANs, Diffusion, limitations, and Future Prospects- A review.- Enhancing Software Reliability Through Hybrid Metaheuristic Approaches.- Consumer Perspectives for Purchase Intentions of Online Pharmacy Products Using Generative Artificial Intelligence.- Intelligent Diagnosis of Autism Spectrum Disorder: Harnessing Machine Learning for Enhanced Early Detection.- A Comprehensive Review of Handwriting-Based ADHD Detection in Children with Autism Spectrum Disorder Using Machine Learning.- Bank Churn Prediction: A Holistic Churn Analysis on Imbalanced Data using ML Techniques.- Next-Gen Language Mastery: Exploring Advances in Natural Language Processing Post-Transformers.- Advancements in Machine Learning-Based Mental Health Prediction: A Comprehensive Review.- An economical, time-bound, scalable data platform designed for advanced analytics and AI.- A perspective to Disaster and Emerging technologies for Disaster management.- Machine Learning Innovations in Polycystic Ovarian Syndrome Diagnosis: A Comprehensive Review.- Personality Trait Classification from Online Text using Hybrid Deep Learning Techniques.- Improving Low-Light Images Using an Advanced Histogram Equalization Method and a Self-Calibrated Illumination Technique.- HsMM-based mobility aware cell association method for dynamic bandwidth management in 5G-FRANs.- Blockchain Security in Cloud Computing: Use Cases, Challenges, and Solutions.- Adoption of Blockchain in Banking Industry: Challenges and Perspectives.- An Empirical Investigation into Quantum Algorithms.- Optimizing Real-Time Performance in ML-Based Application Layer Firewalls.- An empirical evaluation of design smells and code smells over multiple versions of software evolution.
Compatibility Checking To Adopt MANET in LoRaWAN For Long Range Connectivity.- A Novel FR4-Based Slot Antenna with Circular Metasurface for Aerospace CubeSats.- Enabling Modern IoT Solutions with RFID Devices via an Integrated Feeding Network-fed Ultra-Wide HPBW Patch Antenna Array.- Design and Fabrication of PCB based Proximity Sensors for Application in Automatic Railway Crossing System.- Security Threats & Data Protection Methods Used in Cloud Computing: A Review.- Load Balancing Algorithms for Cloud Computing Performance: a Review.- Seamless Mobility: Innovating the Digital Service Landscape in Telecom Industry.- Pandemic Pulse: Unveiling Insights with the Global Health Tracker through AI & ML.- A Systematic Review of Deepfake Detection Using Learning Techniques And Vision Transformer.- Optimizing Graph Colorings: Unleashing the Power of Heuristic Algorithms for Enhanced Problem Solving.- Enhanced Detection of Alzheimer's and Mild Cognitive Impairment: Leveraging Advanced Preprocessing and Convolutional Neural Networks.- Classification of dry beans into Genetic Varieties using deep learning-based Convolutional Neural Networks (CNNs).- Navigating the Realm of Generative Models: GANs, Diffusion, limitations, and Future Prospects- A review.- Enhancing Software Reliability Through Hybrid Metaheuristic Approaches.- Consumer Perspectives for Purchase Intentions of Online Pharmacy Products Using Generative Artificial Intelligence.- Intelligent Diagnosis of Autism Spectrum Disorder: Harnessing Machine Learning for Enhanced Early Detection.- A Comprehensive Review of Handwriting-Based ADHD Detection in Children with Autism Spectrum Disorder Using Machine Learning.- Bank Churn Prediction: A Holistic Churn Analysis on Imbalanced Data using ML Techniques.- Next-Gen Language Mastery: Exploring Advances in Natural Language Processing Post-Transformers.- Advancements in Machine Learning-Based Mental Health Prediction: A Comprehensive Review.- An economical, time-bound, scalable data platform designed for advanced analytics and AI.- A perspective to Disaster and Emerging technologies for Disaster management.- Machine Learning Innovations in Polycystic Ovarian Syndrome Diagnosis: A Comprehensive Review.- Personality Trait Classification from Online Text using Hybrid Deep Learning Techniques.- Improving Low-Light Images Using an Advanced Histogram Equalization Method and a Self-Calibrated Illumination Technique.- HsMM-based mobility aware cell association method for dynamic bandwidth management in 5G-FRANs.- Blockchain Security in Cloud Computing: Use Cases, Challenges, and Solutions.- Adoption of Blockchain in Banking Industry: Challenges and Perspectives.- An Empirical Investigation into Quantum Algorithms.- Optimizing Real-Time Performance in ML-Based Application Layer Firewalls.- An empirical evaluation of design smells and code smells over multiple versions of software evolution.
Compatibility Checking To Adopt MANET in LoRaWAN For Long Range Connectivity.- A Novel FR4-Based Slot Antenna with Circular Metasurface for Aerospace CubeSats.- Enabling Modern IoT Solutions with RFID Devices via an Integrated Feeding Network-fed Ultra-Wide HPBW Patch Antenna Array.- Design and Fabrication of PCB based Proximity Sensors for Application in Automatic Railway Crossing System.- Security Threats & Data Protection Methods Used in Cloud Computing: A Review.- Load Balancing Algorithms for Cloud Computing Performance: a Review.- Seamless Mobility: Innovating the Digital Service Landscape in Telecom Industry.- Pandemic Pulse: Unveiling Insights with the Global Health Tracker through AI & ML.- A Systematic Review of Deepfake Detection Using Learning Techniques And Vision Transformer.- Optimizing Graph Colorings: Unleashing the Power of Heuristic Algorithms for Enhanced Problem Solving.- Enhanced Detection of Alzheimer's and Mild Cognitive Impairment: Leveraging Advanced Preprocessing and Convolutional Neural Networks.- Classification of dry beans into Genetic Varieties using deep learning-based Convolutional Neural Networks (CNNs).- Navigating the Realm of Generative Models: GANs, Diffusion, limitations, and Future Prospects- A review.- Enhancing Software Reliability Through Hybrid Metaheuristic Approaches.- Consumer Perspectives for Purchase Intentions of Online Pharmacy Products Using Generative Artificial Intelligence.- Intelligent Diagnosis of Autism Spectrum Disorder: Harnessing Machine Learning for Enhanced Early Detection.- A Comprehensive Review of Handwriting-Based ADHD Detection in Children with Autism Spectrum Disorder Using Machine Learning.- Bank Churn Prediction: A Holistic Churn Analysis on Imbalanced Data using ML Techniques.- Next-Gen Language Mastery: Exploring Advances in Natural Language Processing Post-Transformers.- Advancements in Machine Learning-Based Mental Health Prediction: A Comprehensive Review.- An economical, time-bound, scalable data platform designed for advanced analytics and AI.- A perspective to Disaster and Emerging technologies for Disaster management.- Machine Learning Innovations in Polycystic Ovarian Syndrome Diagnosis: A Comprehensive Review.- Personality Trait Classification from Online Text using Hybrid Deep Learning Techniques.- Improving Low-Light Images Using an Advanced Histogram Equalization Method and a Self-Calibrated Illumination Technique.- HsMM-based mobility aware cell association method for dynamic bandwidth management in 5G-FRANs.- Blockchain Security in Cloud Computing: Use Cases, Challenges, and Solutions.- Adoption of Blockchain in Banking Industry: Challenges and Perspectives.- An Empirical Investigation into Quantum Algorithms.- Optimizing Real-Time Performance in ML-Based Application Layer Firewalls.- An empirical evaluation of design smells and code smells over multiple versions of software evolution.
Compatibility Checking To Adopt MANET in LoRaWAN For Long Range Connectivity.- A Novel FR4-Based Slot Antenna with Circular Metasurface for Aerospace CubeSats.- Enabling Modern IoT Solutions with RFID Devices via an Integrated Feeding Network-fed Ultra-Wide HPBW Patch Antenna Array.- Design and Fabrication of PCB based Proximity Sensors for Application in Automatic Railway Crossing System.- Security Threats & Data Protection Methods Used in Cloud Computing: A Review.- Load Balancing Algorithms for Cloud Computing Performance: a Review.- Seamless Mobility: Innovating the Digital Service Landscape in Telecom Industry.- Pandemic Pulse: Unveiling Insights with the Global Health Tracker through AI & ML.- A Systematic Review of Deepfake Detection Using Learning Techniques And Vision Transformer.- Optimizing Graph Colorings: Unleashing the Power of Heuristic Algorithms for Enhanced Problem Solving.- Enhanced Detection of Alzheimer's and Mild Cognitive Impairment: Leveraging Advanced Preprocessing and Convolutional Neural Networks.- Classification of dry beans into Genetic Varieties using deep learning-based Convolutional Neural Networks (CNNs).- Navigating the Realm of Generative Models: GANs, Diffusion, limitations, and Future Prospects- A review.- Enhancing Software Reliability Through Hybrid Metaheuristic Approaches.- Consumer Perspectives for Purchase Intentions of Online Pharmacy Products Using Generative Artificial Intelligence.- Intelligent Diagnosis of Autism Spectrum Disorder: Harnessing Machine Learning for Enhanced Early Detection.- A Comprehensive Review of Handwriting-Based ADHD Detection in Children with Autism Spectrum Disorder Using Machine Learning.- Bank Churn Prediction: A Holistic Churn Analysis on Imbalanced Data using ML Techniques.- Next-Gen Language Mastery: Exploring Advances in Natural Language Processing Post-Transformers.- Advancements in Machine Learning-Based Mental Health Prediction: A Comprehensive Review.- An economical, time-bound, scalable data platform designed for advanced analytics and AI.- A perspective to Disaster and Emerging technologies for Disaster management.- Machine Learning Innovations in Polycystic Ovarian Syndrome Diagnosis: A Comprehensive Review.- Personality Trait Classification from Online Text using Hybrid Deep Learning Techniques.- Improving Low-Light Images Using an Advanced Histogram Equalization Method and a Self-Calibrated Illumination Technique.- HsMM-based mobility aware cell association method for dynamic bandwidth management in 5G-FRANs.- Blockchain Security in Cloud Computing: Use Cases, Challenges, and Solutions.- Adoption of Blockchain in Banking Industry: Challenges and Perspectives.- An Empirical Investigation into Quantum Algorithms.- Optimizing Real-Time Performance in ML-Based Application Layer Firewalls.- An empirical evaluation of design smells and code smells over multiple versions of software evolution.