Demo Data from VLDB 2026 / reviewers in the wild / expert
Alexandre Miège
dblp:m/AMiege
· DBLP profile ↗
4ranked-venue papers
0as first author
0since 2021 · last 2006
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 2Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Network and information security
1 paper |
Network security · 100% | |
| Computer networks
1 paper |
Network management and operations · 100% |
Topics — the 3 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network security › intrusion detection and prevention › intrusion detection › alert processing
alert correlation |
0.0 | 1 | 2002 | Alert Correlation in a Cooperative Intrusion Detection Framework · S&P 2002 |
Network security › intrusion detection and prevention › intrusion detection › intrusion detection system › distributed intrusion detection
collaborative intrusion detection |
0.0 | 1 | 2002 | Alert Correlation in a Cooperative Intrusion Detection Framework · S&P 2002 |
Network security › intrusion detection and prevention
intrusion detection |
0.0 | 1 | 2002 | Alert Correlation in a Cooperative Intrusion Detection Framework · S&P 2002 |
Methods — techniques the papers use, named apart from their topics
alert merging · 0.1alert correlation · 0.1alert clustering · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | Security Considerations for SOA-Based Multimedia ApplicationsabstractGrowing levels of digitalization and broadband access drives extremely fast progress in multimedia and networking technologies and allows consumers to create requirements at an accelerating rate. Producers response is to emphasize the speed of delivery and upgradability of applications. Development of Web services and service-oriented architecture puts the emphasis on creation of specific services which then can be aggregated to achieve a particular goal. By substituting or adding new services, a particular application can be adapted faster to changing requirements. Any application thus composed must address security concerns, including security guarantees after a service substitution. Based on our framework for creating multimedia collaborative authoring applications from a set of standard services, we provide a security analysis of the resulting application and present a novel framework for ensuring uniform access control guarantees across different constituent services Andrew Roczniak, Alexandre Miège, Abdulmotaleb El Saddik |
ISM | 2 |
| 2003 | Modelling Contexts in the Or-BAC ModelabstractAs computer infrastructures become more complex, security models must provide means to handle more flexible and dynamic requirements. In the organization based access control (Or-BAC) model, it is possible to express such requirements using the notion of context. In Or-BAC, each privilege (permission or obligation or prohibition) only applies in a given context. A context is viewed as an extra condition that must be satisfied to activate a given privilege. We present a taxonomy of different types of context and investigate the data the information system must manage in order to deal with these different contexts. We then explain how to model them in the Or-BAC model. Frédéric Cuppens, Alexandre Miège |
ACSAC | 2 |
| 2002 | Recognizing Malicious Intention in an Intrusion Detection Process
Frédéric Cuppens, Fabien Autrel, Alexandre Miège, Salem Benferhat |
HIS | 3 |
| 2002 | Alert Correlation in a Cooperative Intrusion Detection FrameworkabstractThis paper presents the work we have done within the MIRADOR project to design CRIM, a cooperative module for intrusion detection systems (IDS). This module implements functions to manage, cluster, merge and correlate alerts. The clustering and merging functions recognize alerts that correspond to the same occurrence of an attack and create a new alert that merge data contained in these various alerts. Experiments show that these functions significantly reduce the number of alerts. However, we also observe that alerts we obtain are still too elementary to be managed by a security administrator. The purpose of the correlation function is thus to generate global and synthetic alerts. This paper focuses on the approach we suggest to design this function. Frédéric Cuppens, Alexandre Miège |
S&P | 2 |