Search Results for author: Daniele Sgandurra

Found 4 papers, 0 papers with code

Identifying Authorship Style in Malicious Binaries: Techniques, Challenges & Datasets

no code implementations15 Jan 2021 Jason Gray, Daniele Sgandurra, Lorenzo Cavallaro

Attributing a piece of malware to its creator typically requires threat intelligence.

Cryptography and Security

Lightweight Classification of IoT Malware based on Image Recognition

no code implementations11 Feb 2018 Jiawei Su, Danilo Vasconcellos Vargas, Sanjiva Prasad, Daniele Sgandurra, Yaokai Feng, Kouichi Sakurai

The Internet of Things (IoT) is an extension of the traditional Internet, which allows a very large number of smart devices, such as home appliances, network cameras, sensors and controllers to connect to one another to share information and improve user experiences.

Classification General Classification

Efficient Attack Graph Analysis through Approximate Inference

no code implementations22 Jun 2016 Luis Muñoz-González, Daniele Sgandurra, Andrea Paudice, Emil C. Lupu

We compare sequential and parallel versions of Loopy Belief Propagation with exact inference techniques for both static and dynamic analysis, showing the advantages of approximate inference techniques to scale to larger attack graphs.

Bayesian Inference Clustering

Exact Inference Techniques for the Analysis of Bayesian Attack Graphs

no code implementations8 Oct 2015 Luis Muñoz-González, Daniele Sgandurra, Martín Barrère, Emil Lupu

Attack graphs are a powerful tool for security risk assessment by analysing network vulnerabilities and the paths attackers can use to compromise network resources.

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