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Automatika : journal for control, measurement, electronics, computing and communications, Vol. 65 No. 1, 2024.

Original scientific paper

https://doi.org/10.1080/00051144.2023.2277998

Association rule hiding using enhanced elephant herding optimization algorithm

M. Rajasekarana ; Department of Computer Science & Engineering, Kamaraj College of Engineering and Technology, Virudhunagar, India *
M.S. Thanabalb ; Department of Computer Science & Engineering, PSNA College of Engineering and Technology, Dindigul, India
A. Meenakshia ; Department of Computer Science & Engineering, Kamaraj College of Engineering and Technology, Virudhunagar, India

* Corresponding author.

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Abstract

Association rule hiding is an efficient solution that helps organizations to avoid the risk caused
by sensitive knowledge leakage when sharing data in their collaborations. Cuckoo Optimization
Algorithm (COA) sanitizes the transaction database but this method has limitation due to its slow
convergence and exploitation capabilities. Hence in this paper, Enhanced Elephant Herding Optimization Algorithm for Association Rule Hiding (EEHOA4ARH) is proposed for association rule
hiding. In EEHOA, two core functions such as clan updating operator and separating operator are
used for association rule hiding that also realizes the fast convergence and exploitation capabilities. Moreover, the searching strategy in COA4ARH for the selection of best solution is highly time
consuming. To reduce the time consumption for the selection of best solution, a Crowding Distance (CD) concept is combined with EEHOA4ARH. By continuously updating the best elephant
and replacing the worst elephant in the population, EEHOA4ARH-CD sanitizes the transaction
database effectively. Thus the proposed EEHOA4ARH achieves the less computation time, fast
convergence and better exploitation capabilities by using crowding distance. The experimental results prove the effectiveness of the proposed EEHOA4ARH–CD method in terms of hiding
failure, lost rule and execution time with 44.66 s.

Keywords

Association rule hiding; evolutionary algorithm; cuckoo optimization algorithm; enhanced elephant optimization algorithm; crowding distance

Hrčak ID:

322950

URI

https://hrcak.srce.hr/322950

Publication date:

29.11.2023.

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