Title :
Defend GPUs against DoS attacks
Author_Institution :
Virginia Commonwealth Univ., Richmond, VA, USA
Abstract :
Graphics Processing Units (GPUs) have become a popular choice for general-purpose high-performance computing. Encryption and decryption algorithms such as the Advanced Encryption Standard (AES) have been implemented on GPUs to gain significant speedup. However, the security of the GPU architecture is not well studied, making it potentially risky to offload sensitive computation to GPUs. In this paper, we will introduce our ongoing work to improve GPU security against Denial of Service (DoS) attacks.
Keywords :
computer network security; cryptography; graphics processing units; parallel processing; AES; DoS attacks; GPU; advanced encryption standard; decryption algorithms; denial of service attacks; encryption algorithms; general-purpose high-performance computing; graphics processing units; Computer architecture; Computer crime; Encryption; Graphics processing units; Instruction sets; Kernel; DoS attack; GPU; Security; timing analysis;
Conference_Titel :
Performance Computing and Communications Conference (IPCCC), 2013 IEEE 32nd International
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4799-3213-9
DOI :
10.1109/PCCC.2013.6742758
