activity
20142023
most citedSurvey of Machine Learning Techniques for Malware Analysis

571 citations · 607 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CR2023★ 4 cited

Software supply chain: review of attacks, risk assessment strategies and security controls

Betul Gokkaya, Leonardo Aniello, Basel Halak

The software product is a source of cyber-attacks that target organizations by using their software supply chain as a distribution vector. As the reliance of software projects on o…

cs.SE2020★ 20 cited

Cloud2Edge Elastic AI Framework for Prototyping and Deployment of AI Inference Engines in Autonomous Vehicles

Sorin Grigorescu, Tiberiu Cocias, Bogdan Trasnea +3

Self-driving cars and autonomous vehicles are revolutionizing the automotive sector, shaping the future of mobility altogether. Although the integration of novel technologies such…

cs.CR2019★ 6 cited

Towards a Supply Chain Management System for Counterfeit Mitigation using Blockchain and PUF

Leonardo Aniello, Basel Halak, Peter Chai +3

The complexity of today's supply chain, organised in several tiers and including many companies located in different countries, makes it challenging to assess the history and integ…

cs.NI2019★ 1 cited

A Methodology to Select Topology Generators for WANET Simulations (Extended Version)

Michael O'Sullivan, Leonardo Aniello, Vladimiro Sassone

Many academic and industrial research works on WANETs rely on simulations, at least in the first stages, to obtain preliminary results to be subsequently validated in real settings…

cs.CR2017★ 571 cited

Survey of Machine Learning Techniques for Malware Analysis

Daniele Ucci, Leonardo Aniello, Roberto Baldoni

Coping with malware is getting more and more challenging, given their relentless growth in complexity and volume. One of the most common approaches in literature is using machine l…

cs.CR2017★ 1 cited

Android Malware Family Classification Based on Resource Consumption over Time

Luca Massarelli, Leonardo Aniello, Claudio Ciccotelli +3

The vast majority of today's mobile malware targets Android devices. This has pushed the research effort in Android malware analysis in the last years. An important task of malware…

cs.SE2014★ 4 cited

Big Data in Critical Infrastructures Security Monitoring: Challenges and Opportunities

L. Aniello, A. Bondavalli, A. Ceccarelli +8

Critical Infrastructures (CIs), such as smart power grids, transport systems, and financial infrastructures, are more and more vulnerable to cyber threats, due to the adoption of c…