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Statistical Analysis of Network Traffic

Language EnglishEnglish
Book Paperback
Book Statistical Analysis of Network Traffic Amit Awasthi
Libristo code: 42211054
Publishers LAP LAMBERT Academic Publishing, November 2022
Network forensics helps in tracking down cyber fraudsters by assessing and tracing back network data... Full description
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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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About the book

Full name Statistical Analysis of Network Traffic
Author Amit Awasthi
Language English
Binding Book - Paperback
Date of issue 2022
Number of pages 64
EAN 9786205516515
ISBN 6205516519
Libristo code 42211054
Weight 113
Dimensions 150 x 220 x 4
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