Classification of Network Security Attack using KNN (K-Nearest Neighbour) and Comparison of different Attacks through different Machine Learning Techniques

Agarwal, Muskan; Gill, Kanwarpartap Singh; Chauhan, Rahul; Kapruwan, Akanksha; Banerjee, Deepak

doi:10.1109/inocon60754.2024.10512250

2024 3rd International Conference for Innovation in Technology (INOCON) 2024

DOI: 10.1109/inocon60754.2024.10512250

|View full text |Cite

Classification of Network Security Attack using KNN (K-Nearest Neighbour) and Comparison of different Attacks through different Machine Learning Techniques

Muskan Agarwal,

Kanwarpartap Singh Gill,

Rahul Chauhan

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Other1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Telecom Customer Churn Prediction using enhanced Machine Learning Classification Techniques

Verma

2024

2024 First International Conference on Innovations in Communications, Electrical and Computer Engineering (ICICEC)

View full text Add to dashboard Cite

Telecom Customer Churn Prediction using enhanced Machine Learning Classification Techniques

Verma

2024

2024 First International Conference on Innovations in Communications, Electrical and Computer Engineering (ICICEC)

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Classification of Network Security Attack using KNN (K-Nearest Neighbour) and Comparison of different Attacks through different Machine Learning Techniques

Cited by 1 publication

References 20 publications

Telecom Customer Churn Prediction using enhanced Machine Learning Classification Techniques

Telecom Customer Churn Prediction using enhanced Machine Learning Classification Techniques

Contact Info

Product

Resources

About