A Multi-Organization Environment is composed of several players that depend on each other for resources and services. In order to manage the security of the exchange process the authors introduce... Show More

A Multi-Organization Environment is composed of several players that depend on each other for resources and services. In order to manage the security of the exchange process the authors introduce the concept of trust. The authors show how adding this aspect of the cooperative work. In particular, the authors provide a framework where the concepts of trust requirement and trust evaluation play important roles for defining trust vectors. These vectors evaluate a set of requirements, under some conditions, and provide a degree of confidence. In the authors' framework they consider two different types of vectors. On the one hand a vector that relates a user to an organization and on the other hand a vector that links two organizations. Different simulations are presented in this paper in order to show this approach. Moreover, the authors show how these vectors are evaluated and shared among the different organizations. Finally, the authors propose a possible architecture to explain how to integrate their trust module in MOE in order to enhance the security.

RRABIDS (Ruby on Rails Anomaly Based Intrusion Detection System) is an application level intrusion detection system (IDS) for applications implemented with the Ruby on Rails framework. The goal of... Show More

RRABIDS (Ruby on Rails Anomaly Based Intrusion Detection System) is an application level intrusion detection system (IDS) for applications implemented with the Ruby on Rails framework. The goal of this intrusion detection system is to detect attacks against data in the context of web applications. This anomaly based IDS focuses on the modelling of the normal application profile using invariants. These invariants are discovered during a learning phase. Then, they are used to instrument the web application at source code level, so that a deviation from the normal profile can be detected at run-time. This paper illustrates on simple examples how the approach detects well-known categories of web attacks that involve a state violation of the application, such as SQL injections. Finally, an assessment phase is performed to evaluate the accuracy of the detection provided by the proposed approach.

Voting in elections is the basis of democracy, but voting at polling stations may not be possible for all citizens. Remote (Internet) e-voting uses the voter's own equipment to cast votes, but is... Show More

Voting in elections is the basis of democracy, but voting at polling stations may not be possible for all citizens. Remote (Internet) e-voting uses the voter's own equipment to cast votes, but is potentially vulnerable to many common attacks, which affect the election's integrity. Security can be improved by distributing vote processing over many web servers installed in tamper-resistant, secure environments, using the Smart Card Web Server (SCWS) on a mobile phone Subscriber Identity Module (SIM). A generic voting model is proposed, using a SIM/SCWS voting application with standardised Mobile Network Operator (MNO) management procedures to process the votes cast. E-voting systems Prêt à Voter and Estonian I-voting are used to illustrate the generic model. As the SCWS voting application is used in a distributed processing architecture, e-voting security is enhanced: to compromise an election, an attacker must target many individual mobile devices, rather than a centralised web server.

The authors propose in this paper an on-line algorithm based on Bloom filters to detect port scan attacks in IP traffic. Only relevant information about destination IP addresses and destination... Show More

The authors propose in this paper an on-line algorithm based on Bloom filters to detect port scan attacks in IP traffic. Only relevant information about destination IP addresses and destination ports are stored in two steps in a two-dimensional Bloom filter. This algorithm can be indefinitely performed on a real traffic stream thanks to a new adaptive refreshing scheme that closely follows traffic variations. It is a scalable algorithm able to deal with IP traffic at a very high bit rate thanks to the use of hashing functions over a sliding window. Moreover it does not need any a priori knowledge about traffic characteristics. When tested against real IP traffic, the proposed on-line algorithm performs well in the sense that it detects all the port scan attacks within a very short response time of only 10 seconds without any false positive.