27 citations · 40 across the 6 of their papers we have counts for
7 papers
A Family of Droids -- Android Malware Detection via Behavioral Modeling: Static vs Dynamic Analysis
Lucky Onwuzurike, Mario Almeida, Enrico Mariconti +3
Following the increasing popularity of mobile ecosystems, cybercriminals have increasingly targeted them, designing and distributing malicious apps that steal information or cause…
MaMaDroid: Detecting Android Malware by Building Markov Chains of Behavioral Models (Extended Version)
Lucky Onwuzurike, Enrico Mariconti, Panagiotis Andriotis +3
As Android has become increasingly popular, so has malware targeting it, thus pushing the research community to propose different detection techniques. However, the constant evolut…
Measuring, Characterizing, and Detecting Facebook Like Farms
Muhammad Ikram, Lucky Onwuzurike, Shehroze Farooqi +5
Social networks offer convenient ways to seamlessly reach out to large audiences. In particular, Facebook pages are increasingly used by businesses, brands, and organizations to co…
MaMaDroid: Detecting Android Malware by Building Markov Chains of Behavioral Models
Enrico Mariconti, Lucky Onwuzurike, Panagiotis Andriotis +3
The rise in popularity of the Android platform has resulted in an explosion of malware threats targeting it. As both Android malware and the operating system itself constantly evol…
Experimental Analysis of Popular Smartphone Apps Offering Anonymity, Ephemerality, and End-to-End Encryption
Lucky Onwuzurike, Emiliano De Cristofaro
As social networking takes to the mobile world, smartphone apps provide users with ever-changing ways to interact with each other. Over the past couple of years, an increasing numb…
Combating Fraud in Online Social Networks: Detecting Stealthy Facebook Like Farms
Muhammad Ikram, Lucky Onwuzurike, Shehroze Farooqi +5
As businesses increasingly rely on social networking sites to engage with their customers, it is crucial to understand and counter reputation manipulation activities, including fra…
Danger is My Middle Name: Experimenting with SSL Vulnerabilities in Android Apps
Lucky Onwuzurike, Emiliano De Cristofaro
This paper presents a measurement study of information leakage and SSL vulnerabilities in popular Android apps. We perform static and dynamic analysis on 100 apps, downloaded at le…