BV TECH at the 4th IEEE International Conference on AI in Cybersecurity (ICAIC)
12/02/2025
The colleagues Alessandro Stamerra and Piero Delvecchio of CyberLab of Grottaglie have participated in the “4th IEEE International Conference on AI in Cybersecurity (ICAIC)”, which was held in Houston (USA) from 5 to 7 February, where the research report was presented “MAGICIAN: Malware classification Approach through Generation Image using Conditional and wassersteIn generative Adversarial Network variants”, The project was carried out by colleagues Andrea Iannacone and Alessandro Stamerra with the collaboration of the University of Bari within the research activities provided for in the “Suite cybersecurity and SOC” Programme Contract.
An innovative approach
The research report is already available on IEEE Xplore at the following link.
The research proposes an innovative approach to malware detection and classification, based on the recognition of synthetic images derived from binary code, using Conditional Generative Adversarial Networks (cGAN) and Wasserstein Generative Adversarial Networks (WGAN) and appropriate scaling and sampling strategies, to improve the accuracy in recognition while ensuring speed and efficiency of the classification algorithm.
The research was met with great interest by the conference participants and the proposed algorithm has already been integrated into the malware detection capabilities of BV TECH’s IDS/IPS solution.
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