Spectrum Sensing Data Falsification Attack Reputation and Q-Out-of-M Rule Security Scheme

Velempini, Mthulisi; Ngomane, Issah; Mapunya, Sekgoari Semaka

doi:10.1007/978-981-16-2380-6_2

Proceedings of Sixth International Congress on Information and Communication Technology

2021

DOI: 10.1007/978-981-16-2380-6_2

|View full text |Cite

Spectrum Sensing Data Falsification Attack Reputation and Q-Out-of-M Rule Security Scheme

Mthulisi Velempini

Issah Ngomane

Sekgoari Semaka Mapunya

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

Publication Types

Select...

Other1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Support Vector Machine Process Against Probabilistic Byzantine Attack for Cooperative Spectrum Sensing in CRNs

Zhixuan,

Jun,

Jipeng

et al. 2023

Proceedings of the 2023 8th International Conference on Machine Learning Technologies

View full text Add to dashboard Cite

Support Vector Machine Process Against Probabilistic Byzantine Attack for Cooperative Spectrum Sensing in CRNs

Zhixuan,

Jun,

Jipeng

et al. 2023

Proceedings of the 2023 8th International Conference on Machine Learning Technologies

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.

Spectrum Sensing Data Falsification Attack Reputation and Q-Out-of-M Rule Security Scheme

Cited by 1 publication

References 25 publications

Support Vector Machine Process Against Probabilistic Byzantine Attack for Cooperative Spectrum Sensing in CRNs

Support Vector Machine Process Against Probabilistic Byzantine Attack for Cooperative Spectrum Sensing in CRNs

Contact Info

Product

Resources

About