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| Content Provider | Springer Nature Link |
|---|---|
| Author | Merouane, Mehdi |
| Copyright Year | 2017 |
| Abstract | Nowadays, Denial of Service (DoS) attacks have become a major security threat to networks and the Internet. Therefore, even a naive hacker can launch a large-scale DoS attack to the victim from providing Internet services. This article deals with the evaluation of the Snort IDS in terms of packet processing performance and detection. This work describes the aspect involved in building campus network security system and then evaluates the campus network security risks and threats, mainly analyses the attacks DoS and DDoS, and puts forward new approach for Snort campus network security solutions. The objective is to analyze the functional advantages of the solution, deployment and configuration of the open source based on Snort intrusion detection system. The evaluation metrics are defined using Snort namely comparison between basic rules with new ones, available bandwidth, CPU loading and memory usage. |
| Starting Page | 13 |
| Ending Page | 23 |
| Page Count | 11 |
| File Format | |
| ISSN | 01464116 |
| Journal | Automatic Control and Computer Sciences |
| Volume Number | 51 |
| Issue Number | 1 |
| e-ISSN | 1558108X |
| Language | English |
| Publisher | Allerton Press |
| Publisher Date | 2017-03-24 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | DoS/DDoS attacks intrusion detection system anomaly detection snort Control Structures and Microprogramming |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Control and Systems Engineering Software |
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