A Proposed Harmony Search Algorithm for Honeyword Generation

Abstract

The honeyword system is a password cracking detection technique that aims to improve the security of hashed passwords by making password cracking simpler to detect. Many honeywords (false passwords) accompany the sugarword (true password) to form the sweetwords (false and true passwords) for every user. If the attacker signs in using a honeyword, a silent alarm trigger shows that the honeyword system might be compromised. Many honeyword generation techniques are presented; each one has a flaw in the generating process, a lack of support for all honeyword characteristics, and a slew of honeyword problems. The harmony search algorithm (HSA), a metaheuristic intelligence algorithm inspired by music, is used in this article to offer a novel method for generating honeyword. The suggested honeyword generation technique will enhance the generating process, enhance honeyword characteristics, and address prior approaches’ shortcomings. This paper will show several previous honeyword generation techniques, explain the suggested one, discuss the experimental findings, and compare the new honeyword generation method with the previous ones.

Honeywords Generation Technique based on Meerkat Clan Algorithm and WordNet

“…Empirical evidence supports the suggested strategy's greater efficacy and security over current approaches. Yasser et al [6] presented a novel approach in their research, whereby they proposed a system for generating honeywords, which are intentionally misleading passwords aimed at identifying and deterring unauthorized attempts to compromise password security. The method being proposed employs the Harmony Search Algorithm, a widely recognized optimization technique that draws inspiration from the creative process of music composition.…”