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 vulnerabilities of security protocols. One of the first and most discussed logical approaches to the problem of verifying security protocols is the one proposed in

How to find bugs in your (x86) code: Applications that use RIVER

Facultatea de Matematica si Informatica, sala 202

Speaker: Bogdan Ghimiș (University of Bucharest) Abstract: From a security perspective, discovering bugs before shipping a product is crucial. This presentation will be about RIVER, a tool that can help us to inspect x86 binary code. This lecture will encompass two papers describing methods of finding problematic inputs: a genetic algorithm and a method using

Around Hilbert’s Tenth Problem

Speaker: Mihai Prunescu (University of Bucharest) Abstract: We discuss different implications of the negative answer of Hilbert's Tenth Problem: the exponential Diophantine equation over ℕ and ℚ, the minimal number of variables which lead to an undecidable problem over ℤ, the homogeneous Diophantine problem over ℤ.

Blockchain – Intro

Facultatea de Matematica si Informatica, sala 219

Speaker:  Ruxandra Olimid (University of Bucharest) Abstract: Short (crypto) introduction in Blockchain. Mostly a reading group, discussing the original bitcoin paper: https://bitcoin.org/bitcoin.pdf

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 its reduced computational complexity, theoretical guarantees and its applicability to continuous retraining contexts. We now discuss the task of training different machine learning and DL

An introduction to hybrid-dynamic first-order logic

Facultatea de Matematica si Informatica, sala 202

Speaker: Ionuţ Ţuţu (Royal Holloway, University of London) Abstract: We propose a hybrid-dynamic first-order logic as a formal foundation for specifying and reasoning about reconfigurable systems. As the name suggests, the formalism we develop extends (many-sorted) first-order logic with features that are common to hybrid and to dynamic logics. This provides certain key advantages for

House of clouds – sau cum sa auditezi un sistem in cloud

Facultatea de Matematica si Informatica, sala 219

Speaker: Georgel Gheorghe este absolvent al facultatii de Electronica, Telecomunicatii si Tehnologia a informatiei. Este membru ISACA si detine certificari precum CISA (Certified Information Systems Auditor), CGEIT (Certified in the Governance of Enterprise IT) si CRISC (Certified in Risk and Information Systems Control). Are o experienta de peste 11 ani in audit si consultanta in

Protocols in Dynamic Epistemic Logic

Facultatea de Matematica si Informatica, sala 202

Speaker:  Alexandru Dragomir (University of Bucharest) Abstract: Dynamic epistemic logics are useful in reasoning about knowledge and certain acts of learning (epistemic actions). However, not all epistemic actions are allowed to be executed in an initial epistemic model, and this is where the concept of a protocol comes in: a protocol stipulates what epistemic actions

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 signatures can provide adequate levels of protection. To respond to new threats we have to look at other hidden aspects such as execution behavior and

Anomaly Detection Reading Group: Deep OC-SVM

Facultatea de Matematica si Informatica, sala 202

Speaker: Andrei Pătrașcu (University of Bucharest) Abstract: Recent empirical results confirm that one-class (OC) classification methods remain among the most important learning strategies for anomaly detection. In this seminar, we will technically describe in detail multiple basic OC schemes such as OC-SVM and SVDD and their deep variants, in order to identify room of improvements