6IOT, Deep Learning and Cybersecurity in Smart Homes: A Survey
Mirna ATIEH1, Omar MOHAMMAD2, Ali SABRA3 and Nehme RMAYTI3
1 Computer Science Department, Lebanese University, Beirut, Lebanon
2 Department of Computer Science, Lebanese International University, Bekaa, Lebanon
3 Computer Science Department, Varna Free University, Bulgaria
6.1. Introduction
Home automation implementation relies on a medium that supports communication and cooperation between devices. To achieve the desired objectives, it is necessary to adopt an approach that guides the implementation and design of such a home.
Smart home developers have solved many problems and addressed numerous issues to make the life easier through automation, or to help people (the elderly, children, people with disabilities) live a safe, independent life when necessary. However, many problems do not yet have solutions.
Cyber technology is now unavoidable in everyday life; note that wearable IoT devices, in relation to smart homes, have played a pioneering role in this technological revolution.
The more people rely on this technology, the greater the risk of infiltration and data leakage. Thus, the greater the need to develop a cybersecurity infrastructure that protects these systems and their users, keeping in mind that it has now become clear that the IoT is vulnerable to many security breaches.
Additionally, IoT devices produce huge volumes and assortments of data, with varying degrees of veracity. Accordingly, when big ...
Get Cybersecurity in Smart Homes now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.