The importance of addressing security issues in communication devices, networks, and computing models in Industry 5.0 cannot be overstated. Industry 5.0 represents the next phase in the evolution of manufacturing and industrial processes, characterized by increased connectivity, automation, and the integration of smart technologies. Here are several reasons why security is crucial in this context: Industry 5.0 involves the convergence of information technology (IT) and operational technology (OT), making industrial control systems susceptible to cyber threats. A breach in security could compromise critical infrastructure such as power grids, transportation systems, and water treatment plants. Securing computing models and networks is vital for protecting critical infrastructure and ensuring the safety and stability of essential services.
Industry 5.0 encourages the use of advanced technologies such as the Industrial Internet of Things (IIoT) and edge computing, leading to increased data exchange and collaboration. Security issues could result in the theft or manipulation of intellectual property, proprietary designs, and sensitive business information. Robust security measures are necessary to safeguard intellectual property, maintain a competitive edge, and foster innovation within Industry 5.0 ecosystems. Communication devices and networks in Industry 5.0 transmit vast amounts of sensitive data, including production data, supply chain information, and operational metrics. Ensuring the integrity and confidentiality of this data is crucial for informed decision-making and maintaining a competitive advantage. Security breaches could lead to data manipulation, unauthorized access, and exposure of sensitive information, jeopardizing the trust of stakeholders and partners. Industry 5.0 involves interconnected supply chains, where multiple entities collaborate and share data. Weaknesses in communication devices and networks can be exploited to compromise the integrity of the entire supply chain, impacting product quality and safety. Securing communication channels and computing models is vital for maintaining the trustworthiness of the supply chain, ensuring product quality, and minimizing the risk of counterfeit components.
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.
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.
Herausgeber*in
Brunel Uni.
1. Effect of different vehicles' speed on QoS performance metrics and WAVE metrics on OLSR VANET routing protocol, 2. Equitable edge coloring of unionized triangular patterns in graphs, 3. IoT-based development of smart building applications, 4. Secure biometric authentication of E-Passport system, 5. Efficient scalable binary counter using low-complexity sorting networks for VLSI applications, 6. Convolutional neural networks: Based EEG signal fervor identification, 7. LSTM-based cloud workload prediction using PSO-GA hybrid algorithm, 8. An improved noise filter design for Canny edge detection with pipeline architecture, 9. FPGA implementation of 256-bit Key AES algorithm using a modified S-box sharing algorithm, 10. Design and implementation of LPG gas cylinder management and alerting system using IoT, 11. A machine learning approach for sentiment analysis of Hindi tweets, 12. Detection of Alzheimer's disease using deep learning MobileNet model, 13. Leveraging machine learning and web applications for heart disease prediction, 14. Smart food donation: An Android app for efficient waste management, 15. Counterfeit products detection using blockchain technology, 16. Advanced deep learning framework for accurate analysis of benign and malignant skin cancer, 17. Revolutionizing healthcare with smart syringe pump: Design and implementation, 18. Advanced lung cancer detection using EfficientDet: A deep learning approach, 19. EffiCoNet: A hybrid approach to colon cancer detection using EfficientNet, 20. CerviYOLO: Advanced cervical cancer detection using YOLOv5, 21. Deep learning models for accurate identification of mammographic abnormalities, 22. Sign language detection and recognition using machine learning (ML) architectures
