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Anglický jazyk
Detection Model for Cyber Attacks-Application of Data Mining
Autor: Amruta Surana
Intrusion detection systems (IDS) are important elements in network defenses to help protect against increasingly sophisticated cyber attacks. This project objective presents a novel anomaly detection technique that can be used to detect previously unknown... Viac o knihe
Na objednávku, dodanie 2-4 týždne
36.17 €
bežná cena: 41.10 €
O knihe
Intrusion detection systems (IDS) are important elements in network defenses to help protect against increasingly sophisticated cyber attacks. This project objective presents a novel anomaly detection technique that can be used to detect previously unknown attacks on a network by identifying attack features. This effects-based feature identification method uniquely combines k-means clustering; NaiveBayes feature selection and C4.5 decision tree classification for finding cyber attacks with a high degree of accuracy and it used KDD99CUP dataset as input. Basically it detects whether the attacks are there or not, like IPSWEEP, NEPTUNE, SMURF.
- Vydavateľstvo: LAP LAMBERT Academic Publishing
- Rok vydania: 2020
- Formát: Paperback
- Rozmer: 220 x 150 mm
- Jazyk: Anglický jazyk
- ISBN: 9786203042290
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