Cite
Lightweight hash-based de-duplication system using the self detection of most repeated patterns as chunks divisors
MLA
Saja Taha Ahmed, and Loay E. George. “Lightweight Hash-Based de-Duplication System Using the Self Detection of Most Repeated Patterns as Chunks Divisors.” Journal of King Saud University: Computer and Information Sciences, vol. 34, no. 7, July 2022, pp. 4669–78. EBSCOhost, https://doi.org/10.1016/j.jksuci.2021.04.005.
APA
Saja Taha Ahmed, & Loay E. George. (2022). Lightweight hash-based de-duplication system using the self detection of most repeated patterns as chunks divisors. Journal of King Saud University: Computer and Information Sciences, 34(7), 4669–4678. https://doi.org/10.1016/j.jksuci.2021.04.005
Chicago
Saja Taha Ahmed, and Loay E. George. 2022. “Lightweight Hash-Based de-Duplication System Using the Self Detection of Most Repeated Patterns as Chunks Divisors.” Journal of King Saud University: Computer and Information Sciences 34 (7): 4669–78. doi:10.1016/j.jksuci.2021.04.005.