activity
20132024
most citedTowards Automated Android App Collusion Detection

13 citations · 24 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CE2024★ 2 cited

Cyber-physical and business perspectives using Federated Digital Twins in multinational and multimodal transportation systems

Ricardo M. Czekster, Alexeis Garcia Perez, Manolya Kavakli-Thorne +2

Digital Twin (DT) technologies promise to remove cyber-physical barriers in systems and services and provide seamless management of distributed resources effectively. Ideally, full…

cs.LG2024

Predicting Next Useful Location With Context-Awareness: The State-Of-The-Art

Alireza Nezhadettehad, Arkady Zaslavsky, Rakib Abdur +4

Predicting the future location of mobile objects reinforces location-aware services with proactive intelligence and helps businesses and decision-makers with better planning and ne…

cs.SE2017★ 2 cited

Software Model Checking: A Promising Approach to Verify Mobile App Security

Irina Mariuca Asavoae, Hoang Nga Nguyen, Markus Roggenbach +1

In this position paper we advocate software model checking as a technique suitable for security analysis of mobile apps. Our recommendation is based on promising results that we ac…

cs.SE2016★ 13 cited

Towards Automated Android App Collusion Detection

Irina Mariuca Asavoae, Jorge Blasco, Thomas M. Chen +5

Android OS supports multiple communication methods between apps. This opens the possibility to carry out threats in a collaborative fashion, c.f. the Soundcomber example from 2011.…

cs.HC2013★ 7 cited

A Framework for Analysing Driver Interactions with Semi-Autonomous Vehicles

Siraj Shaikh, Padmanabhan Krishnan

Semi-autonomous vehicles are increasingly serving critical functions in various settings from mining to logistics to defence. A key characteristic of such systems is the presence o…