Title
A Threat Modelling Approach to Analyze and Mitigate Botnet Attacks in Smart Home Use Case
Abstract
Despite the surging development and utilization of IoT devices, the security of IoT devices is still in infancy. The security pitfalls of IoT devices have made it easy for hackers to take over IoT devices and use them for malicious activities like botnet attacks. With the rampant emergence of IoT devices, botnet attacks are surging. The botnet attacks are not only catastrophic for IoT device users but also for the rest of the world. Therefore, there is a crucial need to identify and mitigate the possible threats in IoT devices during the design phase. Threat modelling is a technique that is used to identify the threats in the earlier stages of the system design activity. In this paper, we propose a threat modelling approach to analyze and mitigate the botnet attacks in an IoT smart home use case. The proposed methodology identifies the development-level and application-level threats in smart home use case using STRIDE and VAST threat modelling methods. Moreover, we reticulate the identified threats with botnet attacks. Finally, we propose the mitigation techniques for all identified threats including the botnet threats.
Year
DOI
Venue
2020
10.1109/BigDataSE50710.2020.00024
2020 IEEE 14th International Conference on Big Data Science and Engineering (BigDataSE)
Keywords
DocType
ISBN
Threat Modelling,STRIDE,VAST,Smart Home,Botnet Attacks,Threats Identification,Threats Mitigation
Conference
978-1-6654-0397-9
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Syed Ghazanfar Abbas101.69
Shahzaib Zahid200.34
Faisal B. Hussain3357.06
Ghalib A. Shah429120.85
Muhammad Husnain500.34