activity
20202026
most citedDeep Reinforcement Learning for Black-Box Testing of Android Apps

94 citations · 209 across the 10 of their papers we have counts for

collaborators
Showing 2021Show all

6 papers · 1 filter

cs.CR2021★ 6 cited

PARIOT: Anti-Repackaging for IoT Firmware Integrity

Luca Verderame, Antonio Ruggia, Alessio Merlo

IoT repackaging refers to an attack devoted to tampering with a legitimate firmware package by modifying its content (e.g., injecting some malicious code) and re-distributing it in…

cs.CR2021★ 1 cited

Understanding Fuchsia Security

Francesco Pagano, Luca Verderame, Alessio Merlo

Fuchsia is a new open-source operating system created at Google that is currently under active development. The core architectural principles guiding the design and development of…

cs.CR2021★ 10 cited

You can't always get what you want: towards user-controlled privacy on Android

Davide Caputo, Francesco Pagano, Giovanni Bottino +2

Mobile applications (hereafter, apps) collect a plethora of information regarding the user behavior and his device through third-party analytics libraries. However, the collection…

cs.CR2021★ 52 cited

Gotta CAPTCHA 'Em All: A Survey of Twenty years of the Human-or-Computer Dilemma

Meriem Guerar, Luca Verderame, Mauro Migliardi +2

A recent study has found that malicious bots generated nearly a quarter of overall website traffic in 2019 [100]. These malicious bots perform activities such as price and content…

cs.CR2021

Deep Adversarial Learning on Google Home devices

Andrea Ranieri, Davide Caputo, Luca Verderame +2

Smart speakers and voice-based virtual assistants are core components for the success of the IoT paradigm. Unfortunately, they are vulnerable to various privacy threats exploiting…

cs.SE2021★ 94 cited

Deep Reinforcement Learning for Black-Box Testing of Android Apps

Andrea Romdhana, Alessio Merlo, Mariano Ceccato +1

The state space of Android apps is huge and its thorough exploration during testing remains a major challenge. In fact, the best exploration strategy is highly dependent on the fea…