Security Issues in Communication Devices, Networks and Computing Models (eBook, PDF)
Volume 1
Redaktion: Kumar, Budati Anil; Ghinea, Gheorghita; Makkena, Goutham; Ramakrishna, Akella
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Security Issues in Communication Devices, Networks and Computing Models (eBook, PDF)
Volume 1
Redaktion: Kumar, Budati Anil; Ghinea, Gheorghita; Makkena, Goutham; Ramakrishna, Akella
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In summary, addressing security issues in communication devices, networks, and computing models is fundamental to the successful implementation of Industry 5.0. It not only protects the assets and operations of organizations but also contributes to the overall safety, reliability, and sustainability of advanced industrial systems.
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In summary, addressing security issues in communication devices, networks, and computing models is fundamental to the successful implementation of Industry 5.0. It not only protects the assets and operations of organizations but also contributes to the overall safety, reliability, and sustainability of advanced industrial systems.
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Produktdetails
- Produktdetails
- Verlag: Taylor & Francis eBooks
- Seitenzahl: 252
- Erscheinungstermin: 8. Mai 2025
- Englisch
- ISBN-13: 9781040312759
- Artikelnr.: 73698955
- Verlag: Taylor & Francis eBooks
- Seitenzahl: 252
- Erscheinungstermin: 8. Mai 2025
- Englisch
- ISBN-13: 9781040312759
- Artikelnr.: 73698955
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
Dr. Budati Anil Kumar received a Ph.D. Degree in Electronics and Communication Engineering from GITAM Deemed to be University, Hyderabad in 2019, and M.Tech. Degree from the LBRCE (JNTU Kakinada), Mylavaram in 2010 and B.Tech degree in VYCET (JNTU Hyderabad), Chirala in 2007. He has completed his PDF from ICSDI, UCSI University, Kuala Lumpur, Malaysia in 2024. He is currently working as an Associate Professor & RPAC Chair in ECE Department, Koneru Lakshmaiah Education Foundation (Deemed University), Aziz Nagar Campus, Hyderabad- 500075, Telangana State, India. He has more than 14 years of experience in teaching and six years of experience in research. Besides, he has published 60 research articles in highly reputed publisher journals and conferences whose indexing in SCIE, SCOPUS, etc. He acts as Guest Editor for Peer-to-Peer Networking Journal (Springer Publisher), Cluster Computing Journal (Springer Publisher), IJPCC (Emerald Publisher), IET CAAI Transactions on Intelligence Technology, IET Networks, SWCC Journal (Bentham science Publisher) and IJSCC (Inderscience Publisher), IJUWBCS (Inderscience Publisher) Journals. He has authored three text books which are published by Taylor and Francis's publisher, U.K., and Wiley Publisher, U.K. He is a member of IEEE, IEI and IAENG since 2019 and has served as a reviewer for various international journals and conferences. He has conducted various FDP's as a coordinator, which are funded by AICTE, DST New Delhi, India. He has organized & attended various FDPs and Conferences/workshops in India and abroad and also acted as speaker/session chair in various FDPs and Conferences. His current research interests include Cognitive Radio Networks, Software Defined Radio Networks, Artificial Intelligence, 6G emerging Technologies, Mulsemedia Computing and UAVs in 5G and 6G. Dr Alla Ramakrishna, currently working as the Professor & Principal of KL University, Hyderabad campus, is an accomplished Electronics and communications Engineer with a wealth of experience in academia, research, and industry. He holds a Doctorate in Wireless Communications and a Masters in Telecommunications & Electronics Engineering from Sheffield Hallam University, UK. He started his career as a Design Engineer at Sheffield Centre for Robotics and later in CPI Electronics Ltd and worked in an Engineering sales role at British Telecom. He has published papers in reputed journals. Dr A Ramakrishna sir has contributed to the development of 5G Technology. With his expertise in wireless communications, research and industry-academia partnerships, he can help drive innovation in this field and shape the future of communication technology while continuing to guide and support the next generation of engineers and researchers. Currently, he is guiding eight research scholars under him. He is also associated with several professional bodies such as ISTE (Indian Society for Technical Education), CSI (Computer Society of India), IEEE (Institution of Electrical and Electronics Engineers), IET (Institution of Engineering & Technology) Dr Ramakrishna has fulfilled his administrative and managerial roles with dedication and creativity. He demonstrated vision and an outstanding commitment to excellence in undergraduate & and postgraduate education in engineering, management, and arts. Dr A Ramakrishna has joined KL University as a faculty member in different roles in the areas of teaching, placements, internships, research, academics, administration, and Internal Quality Assessment Cell (IQAS). He was the founder-director of KLH Global Business School, Kondapur, and is one of the key person for the establishment of KL University campus in Hyderabad. Dr A Ramakrishna during his tenure as Director (Placements & Internships) has worked in different capacities and also achieved in bridging the gap between the industry and academia by placing more than 20,000 students for internships in different companies in the last 10 years. He is the key person in getting several research and consultancy projects to the University. He has conducted various international conferences, workshops and programs in imparting good knowledge to the students. He is the strength behind taking the placements to greater heights at KL University. He has established KL Placements and Industry interaction offices in Chennai, Bangalore & Pune with the objective of placing our students in all the premier companies in South India. He has established the PEGA UAP & Centre of Excellence in Automation Anywhere, a tool for Robotic Process Automation. He has the credit of placing more than 10000 students across many top MNC companies. He has contact with more than 500 recruiters across both IT & Core areas. He has received awards from various Corporate companies and from the Confederation of Indian Industry for conducting the best campus drives during the past 10 years. Dr A Ramakrishna has been honored with the Best Academic Leadership Award at IKON - Talent Acquisition conclave held at T-Hub, Madhapur on 16th December, 2022. Dr. Goutham Makkena is an Associate Professor in the Department of Electronics and Communication Engineering (ECE) at KL University, Hyderabad Campus, where he has made significant strides in both teaching and research. Holding a Master's degree and a PhD in Microelectronics from the Birla Institute of Technology and Science - Pilani, Hyderabad Campus, his academic journey is marked by a deep-rooted passion for advancing Microelectronics. Before embarking on his academic career, he gained valuable industry experience as a Software Engineer at Infosys Technologies Pvt Ltd for two years and as a Field Engineer at Microsemi SOC division for six months, laying a solid foundation for his research endeavors. His research interests are focused on the design and implementation of pulse shaping filters and the innovative use of Carbon Nanotube Field-Effect Transistors (CNTFETs) for developing ternary logic circuits. A contributor to GSOC2022, he is deeply committed to the open-source community, with a keen interest in open-source FPGA and Open Lane, aiming to further the development of open-source hardware. Additionally, his expertise in creating interactive H5P content demonstrates his dedication to enhancing learning through interaction. At KL University, he has also established a drone lab, furthering practical learning and research in drone technology, highlighting his commitment to integrating hands-on experience with academic rigor. I, George Ghinea, am a Professor in the Department of Computer Science at Brunel University London. I obtained my BSc. Degree with Computer Science and Mathematics majors from the University of the Witwatersrand, South Africa. I later went on to obtain BSc. (Hons.) and MSc. Degrees, both in Computer Science, from the same university. I was awarded my PhD - Quality of Perception: An Essential Facet of Multimedia Communications - from the University of Reading, UK, in 2000. In it, I proposed the Quality of Perception metric, a precursor of the Quality of Experience (QoE) concept now widely known. However, whilst QoE is still a concept, QoP is a concrete metric. Thus, recognising the infotainment duality of multimedia, QoP not only characterises the subjective enjoyment associated with experiencing multimedia presentations, but also how such presentations aid a person\'s ability to assimilate informational content. My research activities lie at the confluence of Computer Science, Media and Psychology. In particular, my work focuses on the area of perceptual multimedia quality and how one builds end-to-end communication systems incorporating user perceptual requirements. I have applied my expertise in areas such as eye-tracking, telemedicine, multi-modal interaction, and ubiquitous and mobile computing. I am particularly interested in building human-centred e-systems, particularly integrating human perceptual requirements. My work has been funded by both national and international funding bodies - all of it being collaborative work with other teams and stakeholders I have been privileged to be involved with. I have also been honoured to supervise 33 PhD students to completion and to have published over 350 high-quality research articles with them and other research collaborators. Currently, my research pursuits are centered on extending the notion of multimedia with that of mulsemedia - a term which I have put forward to denote multiple sensorial media, ie. media applications that go beyond engaging the by now traditional auditory and visual senses, engaging three of our other human in a realistic manner akin to our experiences of everyday life.
About the Editors. List of Contributors. 1. Clean Architecture in Mobile
Development by Practice. 2. Declarative iOS Programming and Architectural
Patterns. 3. Android Malware Prediction Model using Hybrid Machine Learning
Approach for Cybersecurity. 4. Dissecting PREFETCHX: Understanding
Cross-Core Attacks in Hardware Security. 5. Exploring the Semantic Web in
Healthcare. 6. Using Data-driven Approaches to Enhance Rider Experience via
Wifi and Bluetooth. 7. Cooperative Spectrum Sensing using Random Forest
Algorithm over Rayleigh Fading Channel. 8. A Novel Approach in Face
Recognition for Smart- Attendance Monitoring System. 9. Fingerprint based
Security System for Mitigating Voting Corruption. 10. PCG Classification
using Scalogram and CNN Classifier. 11. Unlocking AI's Potential for
Optimizing Personalized Treatment Plans and Predicting Lung Cancer. 12.
Developing Wireless Body Area Network WBAN with Secure Data Access and
Improved Hybrid Blockchain Technique. 13. Gesture Recognition Gloves for
Sign Language Translation. 14. Photo Acoustic Tomography- Breast Cancer
Detection using Point Spread Function. 15. A Computational Efficient Image
Encryption Technique using 4DChaotic System (CIE4DC) in Dynamic Network.
16. Data Science Applications in Health Care Data Transmission. 17. Secure
and Scalable Data Analysis Framework with Quantum. 18. Enhancing Privacy in
Big Data Analytics with Blockchain-based Frameworks. 19. Enhancing Network
Security Management with Scalable Blockchain Models. 20. Mathematical
modelling for Identification using Fuzzy Matching System. 21. Performance
Evaluation of a Pre-compensated ROF System. 22. Robust and Imperceptible
Dual Watermarking for Watershed Images. Index.
Development by Practice. 2. Declarative iOS Programming and Architectural
Patterns. 3. Android Malware Prediction Model using Hybrid Machine Learning
Approach for Cybersecurity. 4. Dissecting PREFETCHX: Understanding
Cross-Core Attacks in Hardware Security. 5. Exploring the Semantic Web in
Healthcare. 6. Using Data-driven Approaches to Enhance Rider Experience via
Wifi and Bluetooth. 7. Cooperative Spectrum Sensing using Random Forest
Algorithm over Rayleigh Fading Channel. 8. A Novel Approach in Face
Recognition for Smart- Attendance Monitoring System. 9. Fingerprint based
Security System for Mitigating Voting Corruption. 10. PCG Classification
using Scalogram and CNN Classifier. 11. Unlocking AI's Potential for
Optimizing Personalized Treatment Plans and Predicting Lung Cancer. 12.
Developing Wireless Body Area Network WBAN with Secure Data Access and
Improved Hybrid Blockchain Technique. 13. Gesture Recognition Gloves for
Sign Language Translation. 14. Photo Acoustic Tomography- Breast Cancer
Detection using Point Spread Function. 15. A Computational Efficient Image
Encryption Technique using 4DChaotic System (CIE4DC) in Dynamic Network.
16. Data Science Applications in Health Care Data Transmission. 17. Secure
and Scalable Data Analysis Framework with Quantum. 18. Enhancing Privacy in
Big Data Analytics with Blockchain-based Frameworks. 19. Enhancing Network
Security Management with Scalable Blockchain Models. 20. Mathematical
modelling for Identification using Fuzzy Matching System. 21. Performance
Evaluation of a Pre-compensated ROF System. 22. Robust and Imperceptible
Dual Watermarking for Watershed Images. Index.
About the Editors. List of Contributors. 1. Clean Architecture in Mobile
Development by Practice. 2. Declarative iOS Programming and Architectural
Patterns. 3. Android Malware Prediction Model using Hybrid Machine Learning
Approach for Cybersecurity. 4. Dissecting PREFETCHX: Understanding
Cross-Core Attacks in Hardware Security. 5. Exploring the Semantic Web in
Healthcare. 6. Using Data-driven Approaches to Enhance Rider Experience via
Wifi and Bluetooth. 7. Cooperative Spectrum Sensing using Random Forest
Algorithm over Rayleigh Fading Channel. 8. A Novel Approach in Face
Recognition for Smart- Attendance Monitoring System. 9. Fingerprint based
Security System for Mitigating Voting Corruption. 10. PCG Classification
using Scalogram and CNN Classifier. 11. Unlocking AI's Potential for
Optimizing Personalized Treatment Plans and Predicting Lung Cancer. 12.
Developing Wireless Body Area Network WBAN with Secure Data Access and
Improved Hybrid Blockchain Technique. 13. Gesture Recognition Gloves for
Sign Language Translation. 14. Photo Acoustic Tomography- Breast Cancer
Detection using Point Spread Function. 15. A Computational Efficient Image
Encryption Technique using 4DChaotic System (CIE4DC) in Dynamic Network.
16. Data Science Applications in Health Care Data Transmission. 17. Secure
and Scalable Data Analysis Framework with Quantum. 18. Enhancing Privacy in
Big Data Analytics with Blockchain-based Frameworks. 19. Enhancing Network
Security Management with Scalable Blockchain Models. 20. Mathematical
modelling for Identification using Fuzzy Matching System. 21. Performance
Evaluation of a Pre-compensated ROF System. 22. Robust and Imperceptible
Dual Watermarking for Watershed Images. Index.
Development by Practice. 2. Declarative iOS Programming and Architectural
Patterns. 3. Android Malware Prediction Model using Hybrid Machine Learning
Approach for Cybersecurity. 4. Dissecting PREFETCHX: Understanding
Cross-Core Attacks in Hardware Security. 5. Exploring the Semantic Web in
Healthcare. 6. Using Data-driven Approaches to Enhance Rider Experience via
Wifi and Bluetooth. 7. Cooperative Spectrum Sensing using Random Forest
Algorithm over Rayleigh Fading Channel. 8. A Novel Approach in Face
Recognition for Smart- Attendance Monitoring System. 9. Fingerprint based
Security System for Mitigating Voting Corruption. 10. PCG Classification
using Scalogram and CNN Classifier. 11. Unlocking AI's Potential for
Optimizing Personalized Treatment Plans and Predicting Lung Cancer. 12.
Developing Wireless Body Area Network WBAN with Secure Data Access and
Improved Hybrid Blockchain Technique. 13. Gesture Recognition Gloves for
Sign Language Translation. 14. Photo Acoustic Tomography- Breast Cancer
Detection using Point Spread Function. 15. A Computational Efficient Image
Encryption Technique using 4DChaotic System (CIE4DC) in Dynamic Network.
16. Data Science Applications in Health Care Data Transmission. 17. Secure
and Scalable Data Analysis Framework with Quantum. 18. Enhancing Privacy in
Big Data Analytics with Blockchain-based Frameworks. 19. Enhancing Network
Security Management with Scalable Blockchain Models. 20. Mathematical
modelling for Identification using Fuzzy Matching System. 21. Performance
Evaluation of a Pre-compensated ROF System. 22. Robust and Imperceptible
Dual Watermarking for Watershed Images. Index.