MaMaDroid: Detecting Android Malware by Building Markov Chains of Behavioral Models (Extended Version)

no code implementations • 20 Nov 2017 • Lucky Onwuzurike, Enrico Mariconti, Panagiotis Andriotis, Emiliano De Cristofaro, Gordon Ross, Gianluca Stringhini

Aiming to assess whether MaMaDroid's effectiveness mainly stems from the API abstraction or from the sequencing modeling, we also evaluate a variant of it that uses frequency (instead of sequences), of abstracted API calls.

MaMaDroid: Detecting Android Malware by Building Markov Chains of Behavioral Models

no code implementations • 13 Dec 2016 • Enrico Mariconti, Lucky Onwuzurike, Panagiotis Andriotis, Emiliano De Cristofaro, Gordon Ross, Gianluca Stringhini

Finally, we compare against DroidAPIMiner, a state-of-the-art system that relies on the frequency of API calls performed by apps, showing that MaMaDroid significantly outperforms it.

Cryptography and Security

Privacy-Friendly Mobility Analytics using Aggregate Location Data

no code implementations • 21 Sep 2016 • Apostolos Pyrgelis, Emiliano De Cristofaro, Gordon Ross

Location data can be extremely useful to study commuting patterns and disruptions, as well as to predict real-time traffic volumes.

Privacy Preserving Time Series +1