activity
20172026
most citedAssessment of Source Code Obfuscation Techniques

42 citations · 42 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

From Threat Intelligence to Firewall Rules: Semantic Relations in Hybrid AI Agent and Expert System Architectures

Chiara Bonfanti, Davide Colaiacomo, Luca Cagliero +1

Web security demands rapid response capabilities to evolving cyber threats. Agentic Artificial Intelligence (AI) promises automation, but the need for trustworthy security response…

cs.CR2025

Empirical Assessment of the Code Comprehension Effort Needed to Attack Programs Protected with Obfuscation

Leonardo Regano, Daniele Canavese, Cataldo Basile +1

Evaluating the effectiveness of software protection is crucial for selecting the most effective methods to safeguard assets within software applications. Obfuscation involves techn…

cs.AI2025

A Neuro-Symbolic Multi-Agent Approach to Legal-Cybersecurity Knowledge Integration

Chiara Bonfanti, Alessandro Druetto, Cataldo Basile +2

The growing intersection of cybersecurity and law creates a complex information space where traditional legal research tools struggle to deal with nuanced connections between cases…

cs.CR2025

Automatic Selection of Protections to Mitigate Risks Against Software Applications

Daniele Canavese, Leonardo Regano, Bjorn De Sutter +1

This paper introduces a novel approach for the automated selection of software protections to mitigate MATE risks against critical assets within software applications. We formalize…

cs.SE2017★ 42 cited

Assessment of Source Code Obfuscation Techniques

Alessio Viticchié, Leonardo Regano, Marco Torchiano +4

Obfuscation techniques are a general category of software protections widely adopted to prevent malicious tampering of the code by making applications more difficult to understand…