Exploiting Emercoin Blockchain and Trusted Computing for IoT Scenarios: A Practical Approach

Berbecaru, Diana Gratiela; Pintaldi, Lorenzo

doi:10.1109/iscc58397.2023.10217961

2023 IEEE Symposium on Computers and Communications (ISCC) 2023

DOI: 10.1109/iscc58397.2023.10217961

|View full text |Cite

Exploiting Emercoin Blockchain and Trusted Computing for IoT Scenarios: A Practical Approach

Diana Gratiela Berbecaru,

Lorenzo Pintaldi

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...

Other3

Relationship

Self Cite0

Independent3

Authors

Journals

Cited by 3 publications

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

On Detecting Anomalous TLS Connections with Artificial Intelligence Models

Berbecaru,

Giannuzzi

2024

2024 IEEE Symposium on Computers and Communications (ISCC)

View full text Add to dashboard Cite

On Detecting Anomalous TLS Connections with Artificial Intelligence Models

Berbecaru,

Giannuzzi

2024

2024 IEEE Symposium on Computers and Communications (ISCC)

View full text Add to dashboard Cite

On the evaluation of X.509 certificate processing in Transport Layer Security interceptors

Berbecaru,

Sisinni,

Simone

2024

2024 IEEE Symposium on Computers and Communications (ISCC)

View full text Add to dashboard Cite

Threat-TLS: A Tool for Threat Identification in Weak, Malicious, or Suspicious TLS Connections

Berbecaru,

Lioy

2024

Proceedings of the 19th International Conference on Availability, Reliability and Security

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.

Exploiting Emercoin Blockchain and Trusted Computing for IoT Scenarios: A Practical Approach

Cited by 3 publications

References 20 publications

On Detecting Anomalous TLS Connections with Artificial Intelligence Models

On Detecting Anomalous TLS Connections with Artificial Intelligence Models

On the evaluation of X.509 certificate processing in Transport Layer Security interceptors

Threat-TLS: A Tool for Threat Identification in Weak, Malicious, or Suspicious TLS Connections

Contact Info

Product

Resources

About