By Nora Cuppens-Boulahia, Frederic Cuppens, Sushil Jajodia, Anas Abou El Kalam, Thierry Sans
This e-book constitutes the refereed court cases of the twenty ninth IFIP TC eleven foreign info protection and privateness convention, SEC 2014, held in Marrakech, Morocco, in June 2014. The 27 revised complete papers and 14 brief papers awarded have been conscientiously reviewed and chosen from 151 submissions. The papers are geared up in topical sections on intrusion detection, info safety, cellular defense, privateness, metrics and threat review, info circulation keep an eye on, id administration, identifiability and choice making, malicious habit and fraud and organizational security.
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Extra resources for ICT Systems Security and Privacy Protection: 29th IFIP TC 11 International Conference, SEC 2014, Marrakech, Morocco, June 2-4, 2014. Proceedings
For the purposes of testing we consider an organization like an online store whose assets include users payment details, website conﬁgurations and data related to operational procedures. The most valuable target would be a database server with the most of clients’ details. This could be compromised by an SQL injection attack. The second most valuable target would be the store’s website that an attacker could deface by modifying data of the web server the website is located at. The rest of the targets could consist of the mail server and diﬀerent workstations.
A fresh pseudo-random token linked to the session ID of the Client). At specification level, skipping line 7 for the moment, we can model this mechanism by creating a variable Request that the Client wants to submit. When the Client sends this Request to the server (line 10), the latter will generate and send the token, CSRFToken, back to the Client (line 11). Now the Client sends (line 12) the Request together with the Cookie and the CSRF token. 7 8 9 10 11 12 ? CSRFToken; Between the authentication and the request submission parts, in line 7, we have added a message containing a variable Request.
A possible approach is to look for an abstraction of the payoﬀ matrices where only the most relevant features of such matrices are kept and minor features are discarded. We achieve this by using Singular Value Decomposition (SVD) to reduce the rank of the individual payoﬀ matrices. To the best of our knowledge, there are no general results about game solutions for rank reduced payoﬀ matrices. The closest work, undertaken by Kannan and Theobald , performs rank reduction of the matrix given by the sum of the payoﬀ matrices of the two players.
ICT Systems Security and Privacy Protection: 29th IFIP TC 11 International Conference, SEC 2014, Marrakech, Morocco, June 2-4, 2014. Proceedings by Nora Cuppens-Boulahia, Frederic Cuppens, Sushil Jajodia, Anas Abou El Kalam, Thierry Sans