A Performance Enhanced Privilege Verification Cache for Authorization in Ubiquitous Service Environment
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In an attempt to achieve an efficient and secure communication in ubiquitous computing environment, we found that a proper selection of compression and encryption algorithms is a challenging issue. Compression can be beneficial to reduce the number of bits transmitted. If the energy required to compress data is less than the energy required to send it, there is a net energy savings and an increase in battery life for portable computers. On the other hand, encryption is essential operations to provide a secure communication. However, the mobile devices, usually with very limited resources and battery power, are subject to the problem of energy consumption due to compression and encryption algorithms. They consume a significant amount of computing resources such as CPU time, memory, and battery power. In this paper, we present the results of DEVS-based evaluation with symmetric key algorithms (AES, RC4) and compression algorithms (Zlib, LZO, Bzip) that are commonly suggested in terms of processing time and consumed energy.
Abstract
In an attempt to achieve an efficient and secure communication in ubiquitous computing environment, we found that a proper selection of compression and encryption algorithms is a challenging issue. Compression can be beneficial to reduce the number of bits transmitted. If the energy required to compress data is less than the energy required to send it, there is a net energy savings and an increase in battery life for portable computers. On the other hand, encryption is essential operations to provide a secure communication. However, the mobile devices, usually with very limited resources and battery power, are subject to the problem of energy consumption due to compression and encryption algorithms. They consume a significant amount of computing resources such as CPU time, memory, and battery power. In this paper, we present the results of DEVS-based evaluation with symmetric key algorithms (AES, RC4) and compression algorithms (Zlib, LZO, Bzip) that are commonly suggested in terms of processing time and consumed energy.
참고문헌 (13)
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