143 citations · 196 across the 7 of their papers we have counts for
6 papers · 1 filter
Cerberus: Exploring Federated Prediction of Security Events
Mohammad Naseri, Yufei Han, Enrico Mariconti +3
Modern defenses against cyberattacks increasingly rely on proactive approaches, e.g., to predict the adversary's next actions based on past events. Building accurate prediction mod…
Shedding Light on the Targeted Victim Profiles of Malicious Downloaders
François Labrèche, Enrico Mariconti, Gianluca Stringhini
Malware affects millions of users worldwide, impacting the daily lives of many people as well as businesses. Malware infections are increasing in complexity and unfold over a numbe…
Tiresias: Predicting Security Events Through Deep Learning
Yun Shen, Enrico Mariconti, Pierre-Antoine Vervier +1
With the increased complexity of modern computer attacks, there is a need for defenders not only to detect malicious activity as it happens, but also to predict the specific steps…
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…
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…