Layer Based Log Analysis for Enhancing Security of Enterprise Data Center: The case of Ethiopian Education and Research Network

Price: $64.00
(as of Dec 17,2024 16:45:07 UTC – Details)

Publisher ‏ : ‎ LAP LAMBERT Academic Publishing (July 17, 2018)
Language ‏ : ‎ English
Paperback ‏ : ‎ 108 pages
ISBN-10 ‏ : ‎ 3330336269
ISBN-13 ‏ : ‎ 978-3330336261
Item Weight ‏ : ‎ 6.3 ounces
Dimensions ‏ : ‎ 5.91 x 0.25 x 8.66 inches

In today’s digital age, data security is of utmost importance for organizations, especially for enterprise data centers that store sensitive information. One effective way to enhance security is through layer based log analysis, a method that involves analyzing different layers of logs to detect and prevent any potential security threats.

The Ethiopian Education and Research Network (EthERNet) is a prime example of an organization that can benefit from layer based log analysis to enhance the security of its data center. As the backbone network for research and education institutions in Ethiopia, EthERNet handles a large amount of sensitive data that needs to be protected from cyber threats.

By implementing layer based log analysis, EthERNet can monitor and analyze logs from various layers of its network infrastructure, including the network, application, and security layers. This approach allows for the detection of suspicious activities, such as unauthorized access attempts, malware infections, and data breaches, at different levels of the network.

Furthermore, layer based log analysis enables EthERNet to correlate logs from different layers to identify potential security incidents and respond to them promptly. By analyzing logs in real-time, the organization can proactively prevent security breaches and protect its data center from cyber threats.

Overall, layer based log analysis is a powerful tool that can help enhance the security of enterprise data centers, such as the one operated by EthERNet. By leveraging this approach, organizations can strengthen their cybersecurity posture and safeguard their sensitive information from potential threats.
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