• Making Obsolete Malware Viable with Packing

    Facultatea de Matematica si Informatica, sala 202

    Speaker: Mihai Stancu Abstract: The security trend today is to stop security threats even before they arrive on the target machine or system. With that in mind we will explore,

  • Verification of strategic properties for the Prêt-À-Voter protocol using Tamarin (joint work with Wojtek Jamroga and Damian Kurpiewski)

    Facultatea de Matematica si Informatica, sala Google

    Speaker:  Catalin Dima (Université Paris-Est Créteil) Abstract: We report on the verification of anonymity and coercion-freeness properties of the Prêt-À-Voter electronic voting protocol using the Tamarin tool for symbolic verification of security properties. Our

  • Security aspects for blockchain

    Facultatea de Matematica si Informatica, sala 202

    Speaker: Andreea Elena Panait (University of Bucharest). Abstract: The presentation will include introductive notions about blockchain, the main types of attacks on the blockchain network and possible countermeasures, attack examples that occurred

  • Security via user behavior

    Facultatea de Matematica si Informatica, sala 202

    Speaker: Cezara Benegui (University of Bucharest). Abstract: The presentation will be based on earlier research done on user behaviour understanding and detection, learning it using machine learning and artificial intelligence

  • Verifying security protocols using BAN logic

    Facultatea de Matematica si Informatica, sala 202

    Speaker: Alexandru Dragomir (University of Bucharest) Abstract: Epistemic logics - logics aimed at reasoning about knowledge and belief - are widely considered to be suitable for modelling, analyzing and predicting

  • Verifying security protocols using BAN logic – Part 2

    Facultatea de Matematica si Informatica, sala 202

    Speaker: Alexandru Dragomir (University of Bucharest) Abstract: Epistemic logics - logics aimed at reasoning about knowledge and belief - are widely considered to be suitable for modelling, analyzing and predicting

  • Anti-Malware Machine Learning

    Facultatea de Matematica si Informatica, sala 202

    Speaker: Andra Băltoiu (University of Bucharest) Abstract: In a previous seminar, we introduced Dictionary Learning (DL), a machine learning method capable of handling the requirements of IoT-related tasks, motivated by

  • Dynamic Code Analysis

    Speaker:  Radu Velea (BitDefender) Abstract: Static code analysis methods have the advantage of providing deterministic and reliable results. Malware has evolved beyond the point where simple pattern matching algorithms or