By Chapman Flack, Mikhail J. Atallah (auth.), Hervé Debar, Ludovic Mé, S. Felix Wu (eds.)
Since 1998, RAID has proven its attractiveness because the major occasion in learn on intrusion detection, either in Europe and the USA. each year, RAID gathers researchers, safety owners and defense practitioners to hear the newest examine ends up in the realm in addition to experiments and deployment matters. This 12 months, RAID has grown one step additional to set up itself as a widely known occasion within the safety group, with the booklet of hardcopy court cases. RAID 2000 bought 26 paper submissions from 10 international locations and three continents. this system committee chosen 14 papers for book and tested 6 of them for presentation. additionally RAID 2000 obtained 30 prolonged abstracts proposals; 15 of those prolonged abstracts have been authorised for presentation. - tended abstracts can be found at the web site of the RAID symposium sequence, http://www.raid-symposium.org/. we want to thank the technical p- gram committee for the assistance we got in reviewing the papers, in addition to all of the authors for his or her participation and submissions, even for these rejected. As in earlier RAID symposiums, this system alternates among enjoyable- psychological learn matters, resembling newtechnologies for intrusion detection, and simpler matters associated with the deployment and operation of intrusion det- tion platforms in a true setting. 5 classes were dedicated to intrusion detection know-how, together with modeling, facts mining and complex techniques.
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Additional info for Recent Advances in Intrusion Detection: Third International Workshop, RAID 2000 Toulouse, France, October 2–4, 2000 Proceedings
In order to support a balanced solution, audit data is inspected for personal data and identiﬁers referring to real persons are substituted by transaction-based pseudonyms. These pseudonyms are constructed as shares for a suitably adapted version of Shamir’s cryptographic approach to secret sharing. Under suﬃcient suspicion, expressed as a threshold on shares, audit analyzers can perform reidentiﬁcation. Keywords: privacy, anonymity, pseudonymity, audit analysis, intrusion detection, secret sharing, purpose binding 1 Introduction Recent trends in computing and communication demand for two potentially conﬂicting requirements, namely surveillance and privacy.
A suﬃcient condition can be obtained by noticing that 1 ≤ (1+1/α)α ≤ e, and therefore α ≥ (σ/e) − 1 suﬃces. , k < m((σ/e) − 1). However, this is a pessimistic analytical model that needs experimental veriﬁcation. We test experimentally the probability that a random pattern matches at a random text position. We generated a random text and 100 random patterns for each experimental value shown. Figure 2 (left) shows the probability of matching in a text of 3 Mb for a pattern with m = 300, where pattern and text were randomly generated over an alphabet of size σ = 68.
We have searched the three patterns in our audit ﬁle allowing an increasing number of insertions k. Our goal is to determine the eﬀectiveness of the proposed ﬁltering algorithm2 . That is: how much text is it able to ﬁlter out in order to retrieve what fraction of the real attacks that occur in the audit ﬁle? By applying the analytical predictions of Section 3 to our real data, we computed the maximum k value for which the matching probability does not reach 1 (recall that the model is pessimistic).