Network Traffic Classification Using Multiclass Classifier

Kaur, Prabhjot; Chaudhary, Prashant; Bijalwan, Anchit; Awasthi, Amit

doi:10.1007/978-981-13-1810-8_21

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Detection Of Crime1

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2019

2024

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Cited by 7 publications

(1 citation statement)

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“…If the analysis goes on, then it performs two actions: collection of the clues and incident response of the clues. Network traffic is classified through SVM for multiclass classification [14].…”

Section: Detection Of Crimementioning

confidence: 99%

An Anatomy for Recognizing Network Attack Intention

Bijalwan*¹,

Sando²

2019

IJRTE

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Research in the field of Network forensics is tremendously expanding with the tendency to help in arbitrating, capturing and detaining the exponential growth of the cyber crimes. With this expansion, the field of Network forensics is still not clear and is uncertain. In this paper, we have presented the architecture of an analysis mechanism for network forensics. The work followed by generic process model for network forensics investigation is also presented and discussed in detail. Overall this paper presents an overview of the network forensics architecture, generic process models to help a user in the times of emergency by considering the incident and thus maintaining the privacy and security policies.

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Section: Detection Of Crimementioning

confidence: 99%