Secure Intelligent Sustainable Applications Using IoT for Society 6.0 | A Holistic Approach to Protocols to Prototypes
Lingua: inglese
Editore: Springer, 2026
- Rilegato
- Nuovo

Da: preigu, Osnabrück, Germaniapreigu
Venditore AbeBooks dal 5 agosto 2024
Condizione: Nuovo
EUR 159,40
Quantità: 5 disponibili
Aggiungi al carrelloDescrizione dell’articolo da parte del venditore
Secure Intelligent Sustainable Applications Using IoT for Society 6.0 | A Holistic Approach to Protocols to Prototypes | Sohail Saif (u. a.) | Buch | Internet of Things | x | Englisch | 2026 | Springer | EAN 9783032272478 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
Codice articolo 136170645
- Titolo
- Secure Intelligent Sustainable Applications Using IoT for Society 6.0 | A Holistic Approach to Protocols to Prototypes
- Autore
- Sohail Saif (u. a.)
- Editore
- Springer
- Anno di pubblicazione
- 2026
- Condizione
- Neu
- Rilegatura
- Buch
- Lingua
- inglese
- ISBN 10
- 3032272475
- ISBN 13
- 9783032272478
- Peso dell'articolo
- 668 grammi
- Dimensioni
- 241 x 160 x 24 mm
- Cataloghi dei venditori
- Bücher
This book provides an exploration of secure and intelligent applications using the Internet of Things (IoT), focusing on the latest techniques that combine artificial intelligence (AI), lightweight cryptography, and security frameworks for human-centric applications as emphasized in Society 6.0, which expands this idea toward a human-centered, sustainable, and resilient future. The book offers readers a blend of theoretical foundations, cutting-edge algorithms, and real-world implementations designed to safeguard IoT systems in critical domains such as smart healthcare, precision agriculture, security and surveillance, disaster prediction and monitoring, and environmental monitoring etc. Key topics include recent advancements in lightweight cryptography tailored for constrained IoT devices, AI and machine learning-based intrusion detection systems, and the application of federated and split learning for privacy-preserving anomaly detection. This book is designed for researchers, faculty members, graduate students, security professionals, and developers who are interested in the intersection of IoT, artificial intelligence, and cybersecurity.
"Riassunto" può appartenere a un’altra edizione di questo titolo.
Informazioni sull’autore
Dr. Sohail Saif currently serves as an Assistant Professor in the Department of Computer Application within the School of Information Science and Technology at Maulana Abul Kalam Azad University of Technology, West Bengal. Previously, he held the position of Assistant Professor in the Department of Computer Science and Engineering, specializing in Cyber Security, at Haldia Institute of Technology. Furthermore, he has contributed as a Junior Research Fellow (JRF) on a research project sponsored by WBDST. Dr. Saif obtained his Ph.D. in Computer Science and Engineering from Maulana Abul Kalam Azad University of Technology, West Bengal. He pursued his M.Tech in Software Engineering, earning a Gold Medal, and completed his B.Tech in Computer Science and Engineering, all from Maulana Abul Kalam Azad University of Technology, WB, in 2014 and 2018, respectively. Additionally, he successfully passed the National Eligibility Test (NET) examination in 2022. His research interests encompass a broad spectrum, including IoT, Network Security, WSN (Wireless Sensor Networks), Machine Learning, and Cryptography. Dr. Saif has made significant contributions to academia, with numerous research papers published in SCIE/Scopus indexed journals, book chapters, and conference proceedings. Moreover, he actively participates as a reviewer for various journals and serves as a program committee member for international conferences. In addition to his academic and research contributions,Dr. Saif has also coordinated an AICTE Training and Learning (ATAL) online Faculty Development Program (FDP). He currently serves as an editor for four renowned international journals: Scientific Reports, Discover Artificial Intelligence (Nature Portfolio), PLOS ONE and SWCC, Bentham Science.
Dr. Samit Kumar Ghosh currently serves as a Postdoctoral Fellow in the Department of Biomedical Engineering and Biotechnology at Khalifa University in Abu Dhabi, UAE. He holds a B.Tech. degree in Electronics and Communication Engineering from Kalyani University, West Bengal, India, followed by an M.Tech. in Electronics System and Communication Engineering from the National Institute of Technology, Rourkela, Odisha, India. He earned his Ph.D. from the Department of Electrical and Electronics Engineering at Birla Institute of Technology and Science (BITS) Pilani, Hyderabad Campus, Hyderabad. His research interests encompass biomedical signal processing, machine learning, deep learning for healthcare, time-frequency Analysis, non-stationary signal processing, telehealthcare monitoring, and communication engineering. He has authored over 41 publications in refereed international journals and conferences, including IEEE, Springer, and Elsevier, and contributed to several book chapters. He has presented his research work at prominent conferences and actively serves as a regular reviewer for various international journals and conferences.
Dr. Seemanti Saha received the B.Tech. degree in electronics and communication engineering from the University of Kalyani, India, in 2002 and the M.Tech. degree in electronics and electrical communication engineering with specialization in telecommunication system engineering from IIT Kharagpur, India, in 2006. She has obtained her Ph.D. degree from IIT Kharagpur, India, in 2014 in the area of wireless communication. Presently she is working as an Associate Professor at National Institute of Technology Patna, India since 2013 to till date. Her primary research interests include detection and estimation in Physical layer issues of wireless communication, Application of machine learning/deep learning in communication, V2X Communication, UAV communications, Cognitive radio network, Full-duplex communication, 5G/6G radio, Detection and estimation theory, IoT etc. She has many papers in reputed journals and international conferences. She is the principal investigator of couple of projects. She has guided and is guiding couple of PhD students. Dr. Saha is a member IEEE and lifetime member of InRaSS/URSI. She serves as a reviewer of internationally reputed journals such as, IEEE, Elsevier, Springer etc.
Dr. Suparna Biswas is working as an Associate Professor in the Department of Computer Science & Engineering in Maulana Abul Kalam Azad University of Technology, WB. She has received ME and Ph.D from Jadavpur University, West Bengal. She has been an ERASMUS MUNDUS Post Doctoral research fellow in cLINK project in Northumbria University, Newcastle, UK. She has successfully completed two funded research projects in the capacity of PI and Co-PI in the area of smart healthcare. She has successfully guided 6 PhD research scholars in the broad domain of Healthcare and Network Security. She has been the lead Editor in publishing an Edited volume on “IoT based smart healthcare” by Springer, another one is under its final stage before publication. She has been lead organizing chair in organizing International Conference, acted as session chair in International Conferences, IEEE, Springer etc. She has delivered a number of Invited lectures in Seminar, Workshop, Webinar, Tutorial Lectures in International Conferences, conducted special sessions in International conferences, organized workshops etc. She has co-authored about 100 research papers published in Q1 journals, conferences and as book chapters of international repute. She has been awarded with two International patents for innovation in development of Smart health monitoring assistance prototype for Parkinson’s diseased elderly. Her areas of research interests are Internet of Things, Smart Healthcare, Network Security, Machine Learning etc. She is a senior member of IEEE.
Dr. Nauman Aslam is Professor of Network Systems and Security in the Department of Computer and Information Sciences, Northumbria University, UK. Before joining Northumbria University as a Senior Lecturer in 2011, he worked as an Assistant Professor at Dalhousie University, Canada. He received his PhD in Engineering Mathematics from Dalhousie University, Canada in 2008. Professor Aslam is leading the Cyber Security and Network Systems (CyberNets) research group at Northumbria University. His research interests cover diverse but interconnected areas related to communication networks. His current research efforts are focused at addressing problems related to wireless body area networks and IoT, network security, QoS-aware communication in industrial wireless sensor networks and application of Artificial Intelligence (AI) in communication networks. He has led an Erasmus Mundus Action-2 project titled Sustainable Green Economies through Learning, Innovation, Networking and Knowledge Exchange (gLINK), which is funded by the European Union (worth 3.03 million Euros). He has published over 100 papers in peer-reviewed journals and conference. Professor Aslam is a member of IEEE.
"Descrizione articolo" può appartenere a un’altra edizione di questo titolo.
preigu
Osnabrück, Germania
Venditore AbeBooks dal 5 agosto 2024
Tariffe di spedizione da Germania a U.S.A.
| Articolo | Da 60 a 60 giorni lavorativi | Da 60 a 60 giorni lavorativi |
|---|---|---|
| Primo articolo | EUR 70,00 | EUR 70,00 |
Metodi di pagamento
- PayPal
Descrizione dello Store
preigu betreibt einen Onlineversandhandel mit über 1 Mio. Produkten in verschiedenen Sortimenten. Das Kernsortiment besteht aus Büchern, Medien und Spielwaren. Ein gelungenes Einkaufserlebnis ist das Ziel einer jeden Bestellung bei preigu, denn der Kunde und seine Zufriedenheit stehen an erster Stelle. preigu setzt daher auf einen kompetenten Kundenservice, funktionierende Prozesse und schnelle Reaktion.
Specializzazione
Bücher, SpielwarenInformazioni sull’azienda del venditore
preigu GmbH & Co. KG
Lengericher Landstraße 19
Osnabrück, Germania 49078
Condizioni di vendita
About Us
Legal website operator identification:
preigu GmbH & Co. KG
Lengericher Landstr. 19
49078 Osnabrück
Germany
Telephone: +49 (0) 541 / 580 72 84
Email: mail@preigu.de
VAT No: DE 455 380 498
AG Osnabrück - HRA 209647
PhG: preigu Verwaltung GmbH
AG Osnabrück - HRB 221793
CEO: Ansas Meyer
We are neither willing nor obliged to participate in dispute resolution proceedings before consumer arbitration boards.
We are a member of the initiative "FairCommerce" since 30.11.2016.
For more information, see: https://www.haendlerbund.de/de/haendlerbund/interessenvertretung/faircommerce
Diritto di recesso
Instructions for revocation
Right of withdrawal for the sale of goods
Revocation right for consumers
(A ‘consumer' is any natural person who concludes a legal transaction which, to an overwhelming extent, cannot be attributed to either his commercial or independent professional activities.)
Instructions for revocation
Revocation right
You have the right to revoke this contract within 14 days without specifying any reasons.
The revocation period is 14 days with effect from the day,
-
on which you or a third party nominated by you, which is not the carrier, had taken possession of the products, provided you had ordered one or more products within the scope of a standard order and this/these product/products is/are delivered uniformly;
-
on which you or a third party nominated by you, which is not the carrier, had taken possession of the last product, provided you had ordered several products within the scope of a standard order and these products are delivered separately;
-
on which you or a third party nominated by you, which is not the carrier, had taken possession of the last part delivery or the last unit, provided you had ordered a product, which is delivered in several part deliveries or units;
To exercise your right of withdrawal, you must inform us (preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, Telephone number: +49 (0) 541 / 580 72 84, E-Mail address: mail@preigu.de) by means of a clear declaration (e.g. a letter sent by post, or an e-mail) of your decision to withdraw from this contract. You can use the attached model withdrawal form for this purpose, which is, however, not mandatory.
You can also exercise your right of withdrawal online by clicking on a button labelled accordingly (such as ‘Withdraw from contract' or similar) on the AbeBooks/ZVAB website. If you use this online function, you will immediately receive a confirmation of receipt on a durable medium (e.g. via email) containing information on the content of the withdrawal notice, as well as the date and time of its receipt.
In order to safeguard the revocation period, it is sufficient that you send the notification about the exercise of the revocation right before the expiry of the revocation period.
Consequences of the revocation
If you revoke this contract, we shall repay all the payments, which we received from you, including the delivery costs (with the exception of additional costs, which arise from that fact that you selected a form of delivery other than the most reasonable standard delivery offered by us), immediately and at the latest within 14 days from the day on which we received the notification about the revocation of this contract from you. We use the same means of payment, which you had originally used during the original transaction, for this repayment unless expressly agreed otherwise with you; you will not be charged any fees owing to this repayment.
We can refuse the repayment until the products are returned to us or until you have furnished evidence that you have sent the products back to us, depending on whichever is earlier.
You must return or transfer the products to us immediately and, in any case, at the latest within 14 days with effect from the day on which you inform us of the revocation of this contract. The deadline is maintained if you send the products before the expiry of the 14 day deadline.
You bear the direct costs for returning the products.
You must pay for any depreciation of the products only if this depreciation can be attributed to any handling with you that was not necessary for checking the condition, features and functionality of the products.
Criteria for exclusion or expiry
The revocation right is not available for contracts
-
for delivery of products, which are not prefabricated and for whose manufacturing an individual selection or stipulation by the consumer is important or which are clearly tailored to the personal requirements of the consumer;
-
for delivery of products, which can spoil quickly or whose use-by date would be exceeded quickly;
-
for delivery of alcoholic drinks, whose price was agreed at the time of concluding the contract, which however can be delivered 30 days after the conclusion of the contract at the earliest and whose current value depends on the fluctuations in the market, on which the entrepreneur has no influence;
-
for delivery of newspapers, periodicals or magazines with the exception of subscription contracts. The revocation right expires prematurely in case of contracts
-
for delivery of sealed products, which are not suitable for return for reasons of health protection or hygiene if their seal has been removed after the delivery;
-
for delivery of products if they have been mixed inseparably with other goods after the delivery, owing to their condition;
-
for delivery of sound or video recording or computer software in a sealed package if the seal has been removed after the delivery.
Specimen - revocation form
(If you wish to revoke the contract, please fill up this form and send it back to us.)
-
To preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, Email address: mail@preigu.de :
-
I/we () herewith revoke the contract concluded by me/ us () regarding the purchase of the following products ()/
the provision of the following service () -
Ordered on ()/ received on ()
-
Name of the consumer(s)
-
Address of the consumer(s)
-
Signature of the consumer(s) (only in case of a notification on paper)
-
Date
(*) Cross out the incorrect option.