Security Vulnerabilities, Threats, and Attacks in IoT and Big Data

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.

A Blockchain-Based Authentication Solution for 6G Communication Security in Tactile Networks

“…In this literature review we discuss many elements of security and privacy in Industry 4.0, as well as the difficulties and concerns that blockchains have addressed and that still need to be addressed. IoT devices are used in a wide range of industries, including business, smart logistics, banking, online commerce, society, health, military, and civilization, but network traffic management and security remain a major concern [6,24,25]. Some of these problems are identified and discussed in Figure 4.…”