Title: Lion plus firefly algorithm for ternary-based anomaly detection in semantic graphs in smart cities
Authors: M. Sravan Kumar Reddy; Dharmendra Singh Rajput
Addresses: School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, 632014, India ' School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, 632014, India
Abstract: A new hybrid algorithm termed as threshold-based LA update (T-LAU) that hybridises the concepts of lion algorithm (LA) and firefly (FF), respectively has been proposed in this paper based on the setbacks observed in the literature in order to find the abnormal behaviour of the nodes in the semantic graph. The similarity among mined features in terms of rules recognises the abnormal behaviour of nodes in the multi relational networks. Finally, the analysis is carried out for validating the enhancement of the presented model. The proposed T-LAU methodology in the convergence analysis of the 100th iteration is found to have better improvisation rate when compared with the existing methodologies by 25% which is inferred from the results.
Keywords: multi-relational networks; data mining; meta-heuristic; semantic link networks; abnormal nodes; threshold-based LA update; T-LAU.
International Journal of Ad Hoc and Ubiquitous Computing, 2021 Vol.38 No.1/2/3, pp.17 - 29
Received: 31 Aug 2020
Accepted: 09 Dec 2020
Published online: 22 Nov 2021 *