SHARKS: Smart Hacking Approaches for RisK Scanning in Internet-of-Things and Cyber-Physical Systems based on Machine Learning

7 January 2021

Papers citing "SHARKS: Smart Hacking Approaches for RisK Scanning in Internet-of-Things and Cyber-Physical Systems based on Machine Learning"

7 / 7 papers shown

Title
ML-FEED: Machine Learning Framework for Efficient Exploit Detection Tanujay Saha Tamjid Al-Rahat N. Aaraj Yuan Tian N. Jha 25 3 0 11 Jan 2023
Shared Loss between Generators of GANs Xin Wang GAN 29 0 0 14 Nov 2022
Network Security Roadmap Praveenkumar Kumar 14 1 0 10 Nov 2022
Secret Sharing for Generic Theoretic Cryptography James Smith FedML 17 0 0 03 Nov 2022
Is this IoT Device Likely to be Secure? Risk Score Prediction for IoT Devices Using Gradient Boosting Machines Carlos A. Rivera A. Arash Shaghaghi David D. Nguyen S. Kanhere 15 3 0 23 Nov 2021
Machine Learning Assisted Security Analysis of 5G-Network-Connected Systems Tanujay Saha N. Aaraj N. Jha 8 22 0 07 Aug 2021
GRAVITAS: Graphical Reticulated Attack Vectors for Internet-of-Things Aggregate Security Jacob Brown Tanujay Saha N. Jha 12 20 0 31 May 2021