The Development of the Multi-Layer Security Network Authentication System Using Machine Learning DOI

B. Dhanalakshmi,

P. William,

Anupama Chadha

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2024, Volume and Issue: unknown, P. 275 - 286

Published: Dec. 13, 2024

Researchers and business owners place significant importance on the security of IoT networks as it directly affects availability services privacy connected users. To address this concern, an intrusion detection system is used to identify thwart attacks provide multi-layer security. In study, a novel developed Security network authentication using machine learning. This approach combines algorithm for system. Additionally, oversampling technique employed improve quality classification results.Various experiments were conducted with different layers, well two distinct techniques developing

Language: Английский

Encrypted Negative Password (ENP) Authentication System DOI

Namrata Barua,

Tanusree Saha,

Jui Pattanayak

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2024, Volume and Issue: unknown, P. 303 - 318

Published: Dec. 13, 2024

Password authentication is among the most effective ways to authenticate for security resiliency. The challenge of securely keeping credentials one important ones. Based on Negative Database (NDB), a cryptographic hash function, and symmetric encryption, our study suggests Encrypted (ENP) password protection approach. Methods: This paper verification structure protected storage that may be effectively incorporated into existing systems. A hybrid method used encrypt client's plain password. Additionally, system built ENP presented. Because it value each user's password, secret key in almost always unique does not have separately produced maintained. As result, passwords can using encryption.

Language: Английский

Citations

0

The Development of the Multi-Layer Security Network Authentication System Using Machine Learning DOI

B. Dhanalakshmi,

P. William,

Anupama Chadha

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2024, Volume and Issue: unknown, P. 275 - 286

Published: Dec. 13, 2024

Researchers and business owners place significant importance on the security of IoT networks as it directly affects availability services privacy connected users. To address this concern, an intrusion detection system is used to identify thwart attacks provide multi-layer security. In study, a novel developed Security network authentication using machine learning. This approach combines algorithm for system. Additionally, oversampling technique employed improve quality classification results.Various experiments were conducted with different layers, well two distinct techniques developing

Language: Английский

Citations

0