Arbeitspapier
Network intrusion detection
Attacks against computers and the internet are in the news every week. These primarily take the form of malicious code such as viruses and worms, or denial of service attacks. Less commonly reported are attacs with gain access to computers, either for the purpose of producing damage (such as defacing web sites or deleting data) or for the opportunities such as access provides to the attacker, such as accessto bank accounts or controlsystems of power stations. This chapter will discuss some of the areas in which computational statistics can be applied to these and related problems.
- Sprache
-
Englisch
- Erschienen in
-
Series: Papers ; No. 2004,34
- Klassifikation
-
Wirtschaft
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Marchette, David J.
- Ereignis
-
Veröffentlichung
- (wer)
-
Humboldt-Universität zu Berlin, Center for Applied Statistics and Economics (CASE)
- (wo)
-
Berlin
- (wann)
-
2004
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:45 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Marchette, David J.
- Humboldt-Universität zu Berlin, Center for Applied Statistics and Economics (CASE)
Entstanden
- 2004
Ähnliche Objekte (12)
Oblivious network intrusion detection systems
Semantic Models for Network Intrusion Detection
Optimization of network intrusion detection processes
Intrusion detection system for controller area network
Operational network intrusion detection : resource-analysis tradeoffs
Transparentes Load Balancing für Network Intrusion Detection Systeme
Network intrusion detection using data dimensions reduction techniques
Resampling imbalanced data for network intrusion detection datasets
Viable network intrusion detection in high-performance environments
Computer intrusion detection and network monitoring : a statistical viewpoint
Entropy clustering-based granular classifiers for network intrusion detection
Heterogeneous Ensemble Feature Selection for Network Intrusion Detection System
Oblivious network intrusion detection systems
Semantic Models for Network Intrusion Detection
Optimization of network intrusion detection processes
Intrusion detection system for controller area network
Operational network intrusion detection : resource-analysis tradeoffs
Transparentes Load Balancing für Network Intrusion Detection Systeme
Network intrusion detection using data dimensions reduction techniques
Resampling imbalanced data for network intrusion detection datasets
Viable network intrusion detection in high-performance environments
Computer intrusion detection and network monitoring : a statistical viewpoint
Entropy clustering-based granular classifiers for network intrusion detection
Heterogeneous Ensemble Feature Selection for Network Intrusion Detection System
Oblivious network intrusion detection systems
Semantic Models for Network Intrusion Detection
Optimization of network intrusion detection processes
Intrusion detection system for controller area network
Operational network intrusion detection : resource-analysis tradeoffs
Transparentes Load Balancing für Network Intrusion Detection Systeme
Network intrusion detection using data dimensions reduction techniques
Resampling imbalanced data for network intrusion detection datasets
Viable network intrusion detection in high-performance environments
Computer intrusion detection and network monitoring : a statistical viewpoint
Entropy clustering-based granular classifiers for network intrusion detection