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Security Vulnerabilities, Threats, and Attacks in IoT and Big Data: Challenges and Solutions

Security Vulnerabilities, Threats, and Attacks in IoT and Big Data: Challenges and Solutions
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Author(s): Prabha Selvaraj (VIT-AP University, India), Sumathi Doraikannan (VIT-AP University, India) and Vijay Kumar Burugari (KL University, India)
Copyright: 2020
Pages: 27
Source title: Security, Privacy, and Forensics Issues in Big Data
Source Author(s)/Editor(s): Ramesh C. Joshi (Graphic Era University, Dehradun, India) and Brij B. Gupta (National Institute of Technology, Kurukshetra, India)
DOI: 10.4018/978-1-5225-9742-1.ch006

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Abstract

Big data and IoT has its impact on various areas like science, health, engineering, medicine, finance, business, and mainly, the society. Due to the growth in security intelligence, there is a requirement for new techniques which need big data and big data analytics. IoT security does not alone deal with the security of the device, but it also has to care about the web interfaces, cloud services, and other devices that interact with it. There are many techniques used for addressing challenges like privacy of individuals, inference, and aggregation, which makes it possible to re-identify individuals' even though they are removed from a dataset. It is understood that a few security vulnerabilities could lead to insecure web interface. This chapter discusses the challenges in security and how big data can be used for it. It also analyzes the various attacks and threat modeling in detail. Two case studies in two different areas are also discussed.

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