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논문 기본 정보

자료유형
학술저널
저자정보
Jun-Ho Huh (SUNCOM Co.) Kyungryong Seo (Pukyong National University)
저널정보
한국멀티미디어학회 멀티미디어학회논문지 멀티미디어학회논문지 제19권 제2호
발행연도
2016.2
수록면
411 - 417 (7page)

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초록· 키워드

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Since the development of Graphic Processing Unit (GPU) in 1999, the development speed of GPUs has become much faster than that of CPUs and currently, the computational power of GPUs exceeds CPUs dozens and hundreds times in terms of decimal calculations and costs much less. Owing to recent technological development of hardwares, general-purpose computing and utilization using GPUs are on the rise. Thus, in this paper, we have identified the elements to be considered for the Smart Grid Security. Focusing on a Performance Improvement of the Basic Algorithm for the Stateful Inspection to Detect DDoS Attacks using CUDA. In the program, we compared the search speeds of GPU against CPU while they search for the suffix trees. For the computation, the system constraints and specifications were made identical during the experiment. We were able to understand from the results of the experiment that the problem-solving capability improves when GPU is used. The other finding was that performance of the system had been enhanced when shared memory was used explicitly instead of a global memory as the volume of data became larger.

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ABSTRACT
1. INTRODUCTION
2. RELATED RESEARCH
3. EXPERIMENTAL ENVIRONMENT
4. BASIC ALGORITHM FOR THE STATEFUL INSPECTION TO DETECT DDoS ATTACKS USING CUDA
5. CONCLUSION AND FUTURE WORK
REFERENCES

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UCI(KEPA) : I410-ECN-0101-2016-004-002542955