Anatomy of Threats to the Internet of Things
By Imran Makhdoom, Mehran Abolhasan, Justin Lipman, Ren Ping Liu, Wei Ni. IEEE Communications Surveys and Tutorials, 2019
320 citations recorded by the source corpus.
The world is resorting to the Internet of Things (IoT) for ease of control and monitoring of smart devices. The ubiquitous use of IoT ranges from industrial control systems (ICS) to e-Health, e-Commerce, smart cities, supply chain management, smart cars, cyber physical systems (CPS), and a lot more. Such reliance on IoT is resulting in a significant amount of data to be generated, collected, processed, and analyzed. The big data analytics is no doubt beneficial for business development. However, at the same time, numerous threats to the availability and privacy of the user data, message, and device integrity, the vulnerability of IoT devices to malware attacks and the risk of physical compromise of devices pose a significant danger to the sustenance of IoT. This paper thus endeavors to highlight most of the known threats at various layers of the IoT architecture with a focus on the anatomy of malware attacks. We present a detailed attack methodology adopted by some of the most successful malware attacks on IoT, including ICS and CPS. We also deduce an attack strategy of a distributed denial of service attack through IoT botnet followed by requisite security measures. In the end, we propose a composite guideline for the development of an IoT security framework based on industry best practices and also highlight lessons learned, pitfalls and some open research challenges.
Subfields: Computer Networks and Communications, Signal Processing
View Paper: https://www.semanticscholar.org/paper/046b838b1e4d067b2d1260e736cc36d3de33d2f5
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Syed Ali Hassan
- Ekram Hossain
- Petros Spachos
- Rasheed Hussain
- Hadis Karimipour
- Fatima Hussain
- Syeda Manjia Tahsien
- Hesham Elsawy
In Signal Processing
- Ekram Hossain
- Syed Ali Hassan
- Petros Spachos
- Rasheed Hussain
- Hadis Karimipour
- Fatima Hussain
- Syeda Manjia Tahsien
Citations in the corpus
- Machine Learning Based Solutions for Security of Internet of Things (IoT): A Survey (2020, background): “vacy more in danger due to different threats/attacks [37], [38].”
- IoT Privacy and Security: Challenges and Solutions (2020, background): “IoT enabled devices have been used in industrial applications and for multiple business purposes [4].”
- Machine Learning in IoT Security: Current Solutions and Future Challenges (2019, background): “However, it is important to know the generalized approach of attackers to launch attack through malware [173].”