No NAT'd User left Behind: Fingerprinting Users behind NAT from NetFlow
Records alone

No NAT'd User left Behind: Fingerprinting Users behind NAT from NetFlow Records alone

9 February 2014

Nino Vincenzo Verde

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Papers citing "No NAT'd User left Behind: Fingerprinting Users behind NAT from NetFlow Records alone"

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Title
CADeSH: Collaborative Anomaly Detection for Smart Homes Yair Meidan D. Avraham H. Libhaber A. Shabtai 55 9 0 02 Mar 2023
Domain Name Encryption Is Not Enough: Privacy Leakage via IP-based Website Fingerprinting Nguyen Phong Hoang Arian Akhavan Niaki Phillipa Gill M. Polychronakis 67 26 0 16 Feb 2021
A Survey on Analyzing Encrypted Network Traffic of Mobile Devices Ashutosh Bhatia Ankit Agrawal Kamlesh Tiwari K. Haribabu D. Vishwakarma 12 19 0 22 Jun 2020
Your Smart Home Can't Keep a Secret: Towards Automated Fingerprinting of IoT Traffic with Neural Networks Shuaike Dong Zhou Li Di Tang Jiongyi Chen Menghan Sun Kehuan Zhang 65 57 0 31 Aug 2019
Keeping the Smart Home Private with Smart(er) IoT Traffic Shaping Noah J. Apthorpe D. Huang D. Reisman Arvind Narayanan Nick Feamster 60 159 0 03 Dec 2018
Spying on the Smart Home: Privacy Attacks and Defenses on Encrypted IoT Traffic Noah J. Apthorpe D. Reisman S. Sundaresan Arvind Narayanan Nick Feamster 59 237 0 16 Aug 2017
The Dark Side(-Channel) of Mobile Devices: A Survey on Network Traffic Analysis Mauro Conti Qian Qian Li Alberto Maragno Riccardo Spolaor 34 88 0 12 Aug 2017
No Place to Hide that Bytes won't Reveal: Sniffing Location-Based Encrypted Traffic to Track a User's Position G. Ateniese Briland Hitaj L. Mancini Nino Vincenzo Verde Antonio Villani 46 20 0 28 May 2015
Can't you hear me knocking: Identification of user actions on Android apps via traffic analysis Mauro Conti L. Mancini Riccardo Spolaor Nino Vincenzo Verde 56 111 0 29 Jul 2014
Hacking Smart Machines with Smarter Ones: How to Extract Meaningful Data from Machine Learning Classifiers G. Ateniese G. Felici L. Mancini A. Spognardi Antonio Villani Domenico Vitali 106 464 0 19 Jun 2013