Towards ANN-based scalable hashing algorithm for secure task processing in computational clouds
Authors:
- Jacek Tchórzewski,
- Agnieszka Jakóbik,
- Daniel Grzonka
Abstract
Task processing security is a key challenge in large scale distributed environments such as computational clouds. Methods that guarantee the identification and integrity of the data are hash functions. Their comput-ing load is high. Security models are expected to have an insignificant impact on the performance of the com-puting environment. In this paper, we have proposed the ANN-based model for scalable hashing of tasks re-sults. The model is named Dynamic ANN-based Light Hashing Function. In the presented approach the hash length may be changed. The length of the hash affects the number of cryptographic operations performed and influences time devoted to the task processing. There-fore, applying hash having longer output allows loading the fast computing resources more. Using shorter hash length enables to unload the slow computing units. Our approach allows selecting such parameters of crypto-graphic algorithms that will not significantly affect the makespan of a task batch.
- Record ID
- CUTb4958c30c046462680e7481c9559a98a
- Publication categories
- ; ;
- Author
- Pages
- 421-427
- Other elements of collation
- il.; Bibliografia (na s.) - 427; Bibliografia (liczba pozycji) - 20; Oznaczenie streszczenia - Abstr.
- Substantive notes
- Punktacja MNiSW/MEiN (rozdział) - 5
- Book
- Iacono Mauro, Mauro Iacono Palmieri Francesco, Francesco Palmieri Gribaudo Marco Marco Gribaudo [et al.] (eds.): Proceedings of the 33rd International ECMS Conference on Modelling and Simulation : ECMS 2019, June 11th - June 14th, 2019, Caserta, Italy, European Conference for Modelling and Simulation, no. Vol. 33, Iss. 1, 2019, [S.l.], European Council for Modelling and Simulation, ISBN 978-3-937436-65-4
- Keywords in English
- computational clouds, cloud security, tasks scheduling, artificial neural networks, intelligent security system, hash functions, scalable hashing, metaheuristics
- DOI
- DOI:10.7148/2019-0421 Opening in a new tab
- URL
- http://www.scs-europe.net/dlib/2019/2019-0421.htm Opening in a new tab
- Related project
- Porównanie ewolucyjnych metod harmonogramowania zadań obliczeniowych dla rozproszonych środowisk dużej skali. . Project leader at PK: , ,
- Language
- eng (en) English
- License
- Score (nominal)
- 70
- Additional fields
- Indeksowana w: Web of Science, Scopus, CORE
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUTb4958c30c046462680e7481c9559a98a/
- URN
urn:pkr-prod:CUTb4958c30c046462680e7481c9559a98a
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.