Applied Approach to Privacy and Security for the Internet of Things

Applied Approach to Privacy and Security for the Internet of Things

Release Date: June, 2020|Copyright: © 2020 |Pages: 295
DOI: 10.4018/978-1-7998-2444-2
ISBN13: 9781799824442|ISBN10: 1799824446|EISBN13: 9781799824466
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Description & Coverage
Description:

From transportation to healthcare, IoT has been heavily implemented into practically every professional industry, making these systems highly susceptible to security breaches. Because IoT connects not just devices but also people and other entities, every component of an IoT system remains vulnerable to attacks from hackers and other unauthorized units. This clearly portrays the importance of security and privacy in IoT, which should be strong enough to keep the entire platform and stakeholders secure and smooth enough to not disrupt the lucid flow of communication among IoT entities.

Applied Approach to Privacy and Security for the Internet of Things is a collection of innovative research on the methods and applied aspects of security in IoT-based systems by discussing core concepts and studying real-life scenarios. While highlighting topics including malware propagation, smart home vulnerabilities, and bio-sensor safety, this book is ideally designed for security analysts, software security engineers, researchers, computer engineers, data scientists, security professionals, practitioners, academicians, and students seeking current research on the various aspects of privacy and security within IoT.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Bio-Sensor Safety
  • Cyber Laws
  • Industry Automation Risks
  • Malware Propagation
  • Middleware Systems
  • Mobile Security Infrastructure
  • Nano-Sensor Security
  • Smart Home Vulnerabilities
  • Trust Models
  • Ubiquitous Computing
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Editor/Author Biographies

Parag Chatterjee is a research profssor at the National Technological University (Universidad Tecnológica Nacional) in Buenos Aires, Argentina and an assistant professor at the University of the Republic (Universidad de la República), Uruguay. He obtained his MSc in Computer Science from the University of Calcutta in 2015, and is currently working in the transdisciplinary areas of Internet of Things and Artificial Intelligence applied to healthcare, especially in the domain of intelligent prediction and prevention. He is a member of editorial and reviewer boards of 20+ international journals and conferences, and has delivered talks and keynotes in 30+ conferences and events, including ExpoInternet LatinoAmérica, IoT Week Geneva and TEDx.

Emmanuel Benoist is a professor of Computer Sciences at the Bern University of Applied Sciences. He teaches Web Security and low-level programming (C and Assembler) and conducts research activities at the Research Institute for Security in the Information Society (RISIS). He works on the link between security and privacy. This includes understanding privacy issues and the way they are solved for instance for criminal and illegal activities on the Darknet, based on which, he created a Darknet Observatory.

Asoke Nath is an associate professor of Computer Science at St. Xavier’s College Kolkata, University of Calcutta, in India. After receiving PhD in 1984 from the Indian Association of Cultivation of Science, he has performed extensive research, having 250+ publications in international journals and conferences. He has experience of working in multiple domains in parallel, including cryptography and network security, MOOCs, image processing and green computing, and has delivered invited talks and keynotes in several international conferences.

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