DÏoT: A Crowdsourced Self-learning Approach for Detecting Compromised IoT Devices
Thien Duc Nguyen(Technische Universität Darmstadt), Ahmad‐Reza Sadeghi(Technische Universität Darmstadt), Markus Miettinen(Technische Universität Darmstadt), Minh Hoang Dang(FPT University), Samuel Marchal(Aalto University), Nirmal Asokan
arXiv (Cornell University)
April 20, 2018
Cited by 39
Related Papers
Security and privacy challenges in industrial internet of things
|Unknown|2015|906
Return-oriented programming without returns
|Unknown|2010|538
Just-In-Time Code Reuse: On the Effectiveness of Fine-Grained Address Space Layout Randomization
|Unknown|2013|513
Unsafe exposure analysis of mobile in-app advertisements
|Unknown|2012|501