Jeudi 6 Octobre
Heure: 
10:30  11:30 
Lieu: 
Salle B107, bâtiment B, Université de Villetaneuse 
Résumé: 
Solving the Asymmetric Travelling Salesman Problem 
Description: 
Luis Gouveia There are many ways of modelling the Asymmetric Traveling Salesman Problem (ATSP) and the related Precedence Constrained ATSP (PCATSP). In this talk we present new formulations for the two problems that can be viewed as resulting from combining precedence variable based formulations, with network flow based formulations. As suggested in [1], the former class of formulations permits to integrate linear ordering constraints. The motivating formulation for this work is a complicated and "ugly" formulation that results from the separation of generalized subtour elimination constraints presented in [2] (see also [1]). This so called "ugly" formulation exhibits, however, one interesting feature, namely the "disjoint subpaths" property that is further explored to create more complicated formulations that combine two (or three) "disjoint path" network flow based formulations and have a stronger linear programming bound. Some of these stronger formulations are related to the ones presented for the PCATSP in [3] and can be viewed as generalizations in the space of the precedence based variables. Several sets of projected inequalities in the space of the arc and precedence variables and in the spirit of many presented in [1] are obtained by projection from these network flow based formulations. Computational results will be given for the ATSP and PCATSP to evaluate the quality of the new models and inequalities. References: [1] L. Gouveia and P. Pesneau. On extended formulations for the precedence constrainted asymmetric traveling salesman problem. Networks, 48(2):77{89, 2006. [2] L. Gouveia and J. M. Pires. The asymmetric travelling salesman problem: On generalizations of disaggregated MillerTuckerZemlin constraints. Discrete Applied Mathematics, 112:129{145, 2001.
Joint work with Pierre Pesneau (University of Bordeaux), Mario Ruthmair (University of Vienna) and Daniel Santos (University of Lisbon) 
Heure: 
13:00  15:00 
Lieu: 
Salle B107, bâtiment B, Université de Villetaneuse 
Résumé: 
Automatic Extraction of Malicious Behaviors 
Description: 
KhanhHuuThe Dam The number of new malwares is increasing everyday. Thus malware detection is nowadays a big challenge. The existing techniques for malware detection require a huge effort of engineering to manually extract the malicious behaviors. To avoid this tedious task, we propose in this paper an approach to automatically extract the malicious behaviors. We model a program using an API call graph, and we represent the malicious behaviors using a malicious API graph. We then reduce the malicious behavior extraction problem to the problem of retrieving from the benign and malicious API call graphs the set of subgraphs that are relevant for malicious behaviors. We solve this issue by applying and adapting wellknown efficient Information Retrieval techniques based on the TFIDF scheme. We use our automatically extracted malicious behavior specification for malware detection using a kind of product between graphs. We obtained interesting experimental results, as we get 99.04% of detection rate. Moreover, we were able to detect several malwares that wellknown and widely used antiviruses such as Panda, Avira, Kaspersky, Avast, Qihoo 360, McAfee, AVG, BitDefender, ESETNOD32, FSecure, and Symantec could not detect.
This is a joint work with Tayssir Touili. 
Heure: 
14:00  17:00 
Lieu: 
Salle B107, bâtiment B, Université de Villetaneuse 
Résumé: 
Évaluation multiprécision rigoureuse de fonctions Dfinies 
Description: 
Marc Mezzarobba 

