A Highly-Efficient Memory-Compression Scheme for GPU-Accelerated Intrusion Detection Systems-Reference-Cited by-同舟云学术

A Highly-Efficient Memory-Compression Scheme for GPU-Accelerated Intrusion Detection Systems

Published:2014 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 7th International Conference on Security of Information and Networks - SIN '14
language:
Short-container-title:

Author:

Bellekens Xavier J. A.,Tachtatzis Christos,Atkinson Robert C.,Renfrew Craig,Kirkham Tony

Publisher

ACM Press

Reference17 articles.

1. A. V. Aho and M. J. Corasick. Efficient string matching: An aid to bibliographic search. Commun. ACM, 18(6):333--340, June 1975.

2. M. Attig, S. Dharmapurikar, and J. Lockwood. Implementation results of bloom filters for string matching. In Field-Programmable Custom Computing Machines, 2004. FCCM 2004. 12th Annual IEEE Symposium on, pages 322--323, April 2004.

3. X. Bellekens, I. Andonovic, R. Atkinson, C. Renfrew, and T. Kirkham. Investigation of GPU-based pattern matching. In The 14th Annual Post Graduate Symposium on the Convergence of Telecommunications, Networking and Broadcasting (PGNet2013), 2013.

4. Y. W. Cheng. Fast virus signature matching based on the high performance computing of GPU. In Communication Software and Networks, 2010. ICCSN '10. Second International Conference on, pages 513--515, Feb 2010.

5. S. Cook. CUDA Programming: A Developer's Guide to Parallel Computing with GPUs. Applications of GPU Computing Series. Elsevier Science, 2012.

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. DDoS Attack Detection Using Artificial Neural Network on IoT Devices in a Simulated Environment;Lecture Notes in Electrical Engineering;2023

2. Co-evaluation of pattern matching algorithms on IoT devices with embedded GPUs;Proceedings of the 35th Annual Computer Security Applications Conference;2019-12-09

3. Network Intrusion Detection and Prevention Systems for Attacks in IoT Systems;Countering Cyber Attacks and Preserving the Integrity and Availability of Critical Systems;2019

4. Machine Learning Approach for Detection of nonTor Traffic;Proceedings of the 12th International Conference on Availability, Reliability and Security;2017-08-29

5. Strategies for Protecting Intellectual Property when Using CUDA Applications on Graphics Processing Units;Proceedings of the 9th International Conference on Security of Information and Networks;2016-07-20