Recent advances in intrusion detection : 6th international symposium, RAID 2003, Pittsburgh, PA, USA, September 8-10, 2003 : proceedings
Gorde:
| Erakunde egilea: | |
|---|---|
| Beste egile batzuk: | , , |
| Formatua: | Livre numérique |
| Hizkuntza: | Anglais |
| Argitaratua: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Saila: | Lecture notes in computer science
2820 |
| Gaiak: | |
| Sarrera elektronikoa: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Oharra: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Recent advances in intrusion detection, 6th international symposium, RAID 2003, Pittsburgh, PA, USA, September 8-10, 2003, proceedings, Giovanni Vigna, Erland Jonsson, Christopher Kruegel (eds.), Berlin, Springer, 2003, 1 volume (X-237 pages), Lecture notes in computer science, 3-540-40878-9 • Recent Advances in Intrusion Detection, Texte imprimé, 9783662188538 |
Aurkibidea:
- Network Infrastructure
- Mitigating Distributed Denial of Service Attacks Using a Proportional-Integral-Derivative Controller
- Topology-Based Detection of Anomalous BGP Messages
- Anomaly Detection I
- Detecting Anomalous Network Traffic with Self-organizing Maps
- An Approach for Detecting Self-propagating Email Using Anomaly Detection
- Correlation
- Statistical Causality Analysis of INFOSEC Alert Data
- Correlation of Intrusion Symptoms: An Application of Chronicles
- Modeling and Specification
- Modeling Computer Attacks: An Ontology for Intrusion Detection
- Using Specification-Based Intrusion Detection for Automated Response
- IDS Sensors
- Characterizing the Performance of Network Intrusion Detection Sensors
- Using Decision Trees to Improve Signature-Based Intrusion Detection
- Ambiguity Resolution via Passive OS Fingerprinting
- Anomaly Detection II
- Two Sophisticated Techniques to Improve HMM-Based Intrusion Detection Systems
- An Analysis of the 1999 DARPA/Lincoln Laboratory Evaluation Data for Network Anomaly Detection.