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Lightweight Digital Trust Architectures in the Internet of Medical Things (IoMT)

Lightweight Digital Trust Architectures in the Internet of Medical Things (IoMT)
Lightweight Digital Trust Architectures in the Internet of Medical Things (IoMT)

Lightweight Digital Trust Architectures in the Internet of Medical Things (IoMT)

Hardback / gebonden | Engels
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€ 496,50
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Omschrijving

Examines ways to fortify the IoMT against potential breaches through the exploration of lightweight digital trust architectures. Delving into data privacy technologies, the book examines the implications of regulatory frameworks such as GDPR, HIPAA, and cybersecurity law. Assesses traditional security methods and considers innovative approaches.

Ahdi Hassan has been the Associate or Consulting Editor of numerous journals and also served the editorial review board from 2013- to till now. He has a number of publications and research papers published in various domains. He has given contribution with the major roles such as using modern and scientific techniques to work with sounds and meanings of words, studying the relationship between the written and spoken formats of various Asian/European languages, developing the artificial languages in coherence with modern English language, and scientifically approaching the various ancient written material to trace its origin. He teaches topics connected but not limited to communication such as English for Young Learners, English for Academic Purposes, English for Science, Technology and Engineering, English for Business and Entrepreneurship, Business Intensive Course, Applied Linguistics, interpersonal communication, verbal and nonverbal communication, cross cultural competence, language and humor, intercultural communication, culture and humor, language acquisition and language in use.

Pronaya Bhattacharya has authored 130 research papers in leading journals- IEEE-TVT, IEEE-IoTJ, IEEE-TNSE, IEEE Access, FGCS, Wiley-ETT, and top conferences-ACM MobiCom, IEEE ICC, Infocom, and CITS. He is working as reviewer of reputed SCI journals - IEEE-TII, IEEE-IoT, IEEE- Access, IEEE-Network, IJCS-Wiley, OSN, JNCA-Elsevier, MTAP, and SP-Wiley. He is awarded best paper award in ICRIC-2019, and COMS2-2021. His interests include optical communications, blockchain, and machine learning.

Martin Sagayam received his PhD in Electronics and Communication Engineering (Signal image processing using machine learning algorithms) from Karunya University, Coimbatore, India. He received his both ME in Communication Systems and BE in Electronics and Communication Engineering from Anna University, Chennai. Currently, he is working as Assistant Professor in the Department of ECE, Karunya Institute Technology and Sciences, Coimbatore, India. He has authored/ co-authored more number of referred International Journals. He has also presented more number of papers in reputed international and national conferences. He has authored 2 edited book, 2 authored book, book series and more than 15 book chapters with reputed international publishers. He has three Indian patents and two Australian patents for his innovations and intellectual property right. He is an active IEEE member. His area of interest includes Communication systems, signal and image processing, machine learning and virtual reality.

Specificaties

  • Uitgever
    IGI Global
  • Verschenen
    mei 2024
  • Bladzijden
    448
  • Genre
    Medische apparatuur en technieken
  • Afmetingen
    279 x 216 mm
  • EAN
    9798369321096
  • Hardback / gebonden
    Hardback / gebonden
  • Taal
    Engels

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