Security and Privacy-Preserving Techniques in Wireless Robotics

1. Auflage 2022
ISBN: 978-0-367-74173-0
Verlag: Taylor & Francis Ltd

Buch, Englisch, 352 Seiten, Format (B × H): 240 mm x 164 mm, Gewicht: 640 g

The wide gap between the existing security solutions and the actual practical deployment in smart manufacturing, smart home, and remote environments (with respect to wireless robotics) is one of the major reasons why we require novel strategies, mechanisms, architectures, and frameworks. Furthermore, it is also important to access and understand the different level of vulnerabilities and attack vectors in Wireless Sensor Network (WSN) and Wireless Robotics. This book includes an in-depth explanation of a secure and dependable Wireless Robotics (WR) architecture, to ensure confidentiality, authenticity, and availability.

Features

- Blockchain technology for securing data at end/server side

- Emerging technologies/networking, like Cloud, Edge, Fog, etc., for communicating and storing data (securely).

- Various open issues, challenges faced in this era towards wireless robotics, including several future research directions for the future.

- Several real world’s case studies are included

- Chapters on ethical concerns and privacy laws, i.e., laws for service providers

- Security and privacy challenges in wireless sensor networks and wireless robotics

The book is especially useful for academic researchers, undergraduate students, postgraduate students, and industry researchers and professionals.

Zielgruppe

Academic, Postgraduate, Professional, and Undergraduate Advanced

Autoren/Hrsg.

Kaklauskas, A.

Kumar Tyagi, Amit

Abraham, Ajith

Rekha, Gillala

Sreenath, N.

Malik, Shaveta

Fachgebiete

• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik

Inhaltsverzeichnis

1. Software Robotics Driven Goods And Services Tax Reconciliation And Matching. 2. Enhanced Intrusion Detection Response And Mitigating Attacks Using Umpiring Security Models For WSN. 3. Cache Memory Design for Single Bit Architecture for Core ITM Processors. 4. A Simulation - Hardware based study of Electric Vehicle charging station using Solar-PhotoVoltaic energy in Gujarat. 5. Comparison of spiral and metamaterial inspired patch antenna for 4G LTE applications. 6. Comparative Analysis For Moving Object Detection in Vibrant Background using SVM, LS SVM and Random Forest Classifier. 7. A Survey on Distributed Denial of Service Attack Detection. 8. Emerging Trends in Power Plants with Digital Solutions. 9. Recent Trends in Internet of Things, Challenges and Opportunities. 10. Privacy Breaches through Cyber Vulnerabilities: Critical Issues, Open Challenges and Possible Countermeasures for Future. 11. Machine Learning Algorithms for Bitcoin Price Prediction. 12. Blockchain Enabled Product Tracking for Supply Chain Management. 13. Role of Robots In Health Care Monitoring System. 14. Remote User Authentication using Camellia Encryption for Network based applications. 15. A Hybrid optimization model for efficient node localization in Wireless Sensor Networks. 16. Machine Learning based IoT models and Analysis.

Über Autor(innen)

Amit Kumar Tyagi

Amit Kumar Tyagi is Assistant Professor (Senior Grade), and Senior Researcher at Vellore Institute of Technology (VIT), Chennai Campus, India. He received his Ph.D. Degree in 2018 from Pondicherry Central University, India. He joined the Lord Krishna College of Engineering, Ghaziabad (LKCE) for the periods of 2009-2010, and 2012-2013. He was an Assistant Professor and Head- Research, Lingaya’s Vidyapeeth (formerly known as Lingaya’s University), Faridabad, Haryana, India in 2018-2019. His current research focuses on Machine Learning with Big data, Blockchain Technology, Data Science, Cyber Physical Systems, Smart and Secure Computing and Privacy. He has contributed to several projects such as "AARIN" and "P3- Block" to address some of the open issues related to the privacy breaches in Vehicular Applications (such as Parking) and Medical Cyber Physical Systems (MCPS). Also, he has published more than 15 patents in the area of Deep Learning, Internet of Things, Cyber Physical Systems and Computer Vision. Recently, he has awarded best paper award for paper titled "A Novel Feature Extractor Based on the Modified Approach of Histogram of oriented Gradient", ICCSA 2020, Italy (Europe). He is a regular member of the ACM, IEEE, MIRLabs, Ramanujan Mathematical Society, Cryptology Research Society, and Universal Scientific Education and Research Network, CSI and ISTE.

Ajith Abraham

Ajith Abraham is the Director of Machine Intelligence Research Labs (MIR Labs), a Not-for-Profit Scientific Network for Innovation and Research Excellence connecting Industry and Academia. As an Investigator and Co-Investigator, he has won research grants worth over 100+ Million US$ from Australia, USA, EU, Italy, Czech Republic, France, Malaysia and China. His research focuses on real world problems in the fields of machine intelligence, cyber-physical systems, Internet of things, network security, sensor networks, Web intelligence, Web services, and data mining. He is the Chair of the IEEE Systems Man and Cybernetics Society Technical Committee on Soft Computing. He is the editor-in-chief of Engineering Applications of Artificial Intelligence (EAAI) and serves/served on the editorial board of several International Journals. He received his Ph.D. Degree in Computer Science from Monash University, Melbourne, Australia.

Arturas Kaklauskas

Arturas Kaklauskas is a Professor at Vilnius Gediminas Technical University, in Lithuania. His areas of interest include affective computing, neuro-marketing, intelligent tutoring systems, affective intelligent tutoring systems, massive open online courses (MOOCS), affective Internet of Things, smart built environment, intelligent event prediction, opinion mining, intelligent decision support systems, life cycle analyses of built environments, energy, climate change, resilience management, healthy houses, sustainable built environments, big data and text analytics, intelligent library, and internet of things. He is Editor in Chief of the Journal of Civil Engineering and Management, Editor of Engineering Applications of Artificial Intelligence, and Associate Editor of the Ecological Indicators Journal. His publications include nine books. The Belarusian State Technological University (Minsk, Belarus) has awarded him an Honorary Doctorate.

Niladhuri Sreenath

Niladhuri Sreenath is Professor in Computer Science and Information Technology at Pondicherry Engineering College affiliated to Pondicherry University, India. His primary research interests lie in WDM Optical Networks, and Privacy and Trust. He obtained his Ph. D. in Computer Science from the Indian Institute of Technology, Madras, India.

Dr.G.Rekha,

Dr.G.Rekha, is working as an Associate Professor, CSE Department, KL University, Hyderabad, Telangana India.She has more than 15+ years of teaching and research experience. She is having many publications (including patents) in National and International conferences and journals and also served as a reviewer for same. She is a member for ACM, and IEEE. Her area of interest are Deep Learning, Internet of Things, Cyber Physical Systems and Computer Vision.

Shaveta Malik

Shaveta Malik is working as an Associate Professor in Computer Engineering Department (NBA accredited), Terna Engineering College, Nerul. She has more than 9 years of teaching and research experience. She has completed her PhD from Lingaya’s University, Faridabad. She had been editor many International conferences and Journal. She is having many publications (including patents) in National and International conferences and journals and also served as a reviewer for same. She is a member for ACM, and IEEE.