Carte Statistical Analysis of Network Traffic Amit Awasthi

Statistical Analysis of Network Traffic

Autor: Amit Awasthi
Limbă: engleză
Legare: Carte broșată
Disponibilitate: În depozitul extern
Expediem în 5-8 zile
210.22 lei
Network forensics helps in tracking down cyber fraudsters by assessing and tracing back network data...

Informații despre carte

Autor
Limbă
engleză
Legare
Carte - Carte broșată
Publicat
2022
Pagini
64
EAN
9786205516515
ISBN
6205516519
Enbook ID
42211054
Greutate
113
Dimensiuni
150 x 220 x 4

Descriere completă

Network forensics helps in tracking down cyber fraudsters by assessing and tracing back network data. The use of various network traffic gathering tools is required. Network forensics is analyzing network traffic to detect intrusions and studying how the crime occurred, i.e., establishing a crime scene for investigation and replays. This study proposes a general network forensic process model and architecture. A secondary data set, KDD CUP of normal and anomalous traffic is used for analysis to simulate the entire process. The dataset is largely processed for feature selection and redundancy removal. The dataset was cleaned before being analyzed using the Support Vector Machine learning model to classify the traffic. The multiclass classification has been used to categorize various types of network attacks. The accuracy of the model is then evaluated using the obtained results.

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