ContexloT: Towards Providing Contextual Integrity to Appified IoT Platforms

By Yunhan Jia, Qi Alfred Chen, Shiqi Wang, Amir Rahmati, Earlence Fernandes, Z. Morley Mao, Atul Prakash. Network and Distributed System Security Symposium, 2017

330 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Signal Processing

View Paper: https://www.semanticscholar.org/paper/bf5d9eab36082198575748bc476fb73f6efd8569

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

1. Elias Bou-Harb
2. Nataliia Neshenko
3. Xiuzhen Cheng
4. Nasir Ghani
5. Ahmad-Reza Sadeghi
6. N. Asokan
7. Georges Kaddoum
8. Jorge Crichigno

In Computer Vision and Pattern Recognition

1. Ahmad-Reza Sadeghi
2. N. Asokan
3. Georges Kaddoum
4. Weifeng Lv
5. Samuel Marchal
6. Peng Liu

In Signal Processing

1. Ahmad-Reza Sadeghi
2. N. Asokan
3. Samuel Marchal
4. Peng Liu

Citations in the corpus

• DÏoT: A Federated Self-learning Anomaly Detection System for IoT (2018, background): “Several solutions have been proposed for the detection and prevention of intrusions in IoT networks [39], [40], sensor networks [9] and industrial control systems [41], [42].”
• The Effect of IoT New Features on Security and Privacy: New Threats, Existing Solutions, and Challenges Yet to Be Solved (2018, positive): “[22] proposed ContexIoT, a new context-based”
• Demystifying IoT Security: An Exhaustive Survey on IoT Vulnerabilities and a First Empirical Look on Internet-Scale IoT Exploitations (2019, background): “Context-aware Permission Models [76], [120] Software Assurance [84], [85], [121]–[123]”
• Edge Computing Security: State of the Art and Challenges (2019, background): “[185] proposed a mechanism to prevent overprivileged attacks by comparing the “contexts” of behaviors with the ones in the past to identify possible suspicious inconsistencies.”