Denial of Service Detection System on various platforms
| Autor: | Dillibabu Shanmugam, Suganya Annadurai, Vijayasarathy Rajagopalan, T Venkatesh Prasad |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Service (systems architecture)
Computer science media_common.quotation_subject 010401 analytical chemistry PowerPC Denial-of-service attack 02 engineering and technology 021001 nanoscience & nanotechnology Computer security computer.software_genre 01 natural sciences 0104 chemical sciences Order (exchange) Critical information infrastructure x86 0210 nano-technology Field-programmable gate array computer Reputation media_common |
| Zdroj: | 2019 International Carnahan Conference on Security Technology (ICCST). |
| DOI: | 10.1109/ccst.2019.8888402 |
| Popis: | As the concept of network evolves and diverge for ease of end-to-end communication in a real-time scenario, the unknown problems also rooted with that as a challenge for users. For instance, an advance method of attacking a network system to make it unusable for the legitimate user is called DDoS attack. DDoS attacks are an annoyance at a minimum, and if they are against a Critical Information Infrastructure(CII) networks or system, they can cause severe damage to network resources, say, service slowdown, communication failure between network users, financial loss and spoil good reputation. In order to protect CII, we developed detection mechanism for DoS and DDoS attacks using machine learning techniques. In this paper, we share our implementation methodology on different platforms (FPGA [1], x86 and PowerPC [2]). In addition, we compare the performance on different platforms using standard dataset(DARPA) and limited number of real time dataset. |
| Databáze: | OpenAIRE |
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