Authentication System Based on Hand Writing Recognition

Mohammed, Asmaa A.; Abdul-Hassan, Alia K.; Mahdi, Bashar Saadoon

doi:10.1109/sccs.2019.8852594

Cited by 6 publications

(4 citation statements)

References 7 publications

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“…However, this strategy has been targeted by bad actors using a variety of attack methods, including password cracking. 1,2 . Password cracking is a dangerous and typically illegal method of recovering passwords from computer information stored on or sent through a device 3 .…”

Section: Introductionmentioning

confidence: 99%

Honeyword Generation Using a Proposed Discrete Salp Swarm Algorithm

2023

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Honeywords are fake passwords that serve as an accompaniment to the real password, which is called a "sugarword." The honeyword system is an effective password cracking detection system designed to easily detect password cracking in order to improve the security of hashed passwords. For every user, the password file of the honeyword system will have one real hashed password accompanied by numerous fake hashed passwords. If an intruder steals the password file from the system and successfully cracks the passwords while attempting to log in to users' accounts, the honeyword system will detect this attempt through the honeychecker. A honeychecker is an auxiliary server that distinguishes the real password from the fake passwords and triggers an alarm if intruder signs in using a honeyword. Many honeyword generation approaches have been proposed by previous research, all with limitations to their honeyword generation processes, limited success in providing all required honeyword features, and susceptibility to many honeyword issues. This work will present a novel honeyword generation method that uses a proposed discrete salp swarm algorithm. The salp swarm algorithm (SSA) is a bio-inspired metaheuristic optimization algorithm that imitates the swarming behavior of salps in their natural environment. SSA has been used to solve a variety of optimization problems. The presented honeyword generation method will improve the generation process, improve honeyword features, and overcome the issues of previous techniques. This study will demonstrate numerous previous honeyword generating strategies, describe the proposed methodology, examine the experimental results, and compare the new honeyword production method to those proposed in previous research.

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Section: Introductionmentioning

confidence: 99%

Honeyword Generation Using a Proposed Discrete Salp Swarm Algorithm

2023

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“…The most popular authentication technique is password authentication because of its ease, which is saved as a hashed password [1]. The password mechanism is subject to many aggressive actions to break it like password cracking.…”

Section: Introductionmentioning

confidence: 99%

Generating Honeyword Based on A Proposed Bees Algorithm

2022

IJCCCE

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Honeywords are fake passwords that are typically companions to the real password “sugarword.” The honeyword technique is a password cracking detection technique that works effectively to improve the security of hashed passwords by making password cracking simpler to detect. The password database will contain many honeywords for each user in the system. A silent alarm will trigger, indicating that the password database has been compromised if the hacker signs in using a honeyword. The honeychecker is a separate server in charge of recognizing the real password and raising the silent alarm. Many honeyword creation techniques have been presented previously. They all have limitations in the generating process, supporting characteristics, and strengths of honeyword. The bees algorithm, an optimization metaheuristic swarm intelligence algorithm, is used in this article to suggest a novel approach for generating honeywords. The proposed bee algorithm succeeded in addressing the limitations of the previous methods by enhancing the honeyword generating process, supporting the honeyword characteristics, and addressing the honeyword system problems. The most important characteristics of the honeyword (flatness, DoS resistance, and storage) were supported by the proposed method to present unconditionally flatness, strong DoS resistance, and moderate storage. Index Terms— Bees Algorithm, Honeyword, Password, Swarm Algorithm.

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“…Feature extraction is the key to numeral recognition when each number is distinctive in its own. It is vital to extract characteristics in such a way that it is easier to identify different numerals based on each number's properties [18]. In this paper, feature extraction is studied extensively by means of designing an algorithm in Matlab software using Fuzzy logic method.…”

Section: Introductionmentioning

confidence: 99%

Feature Extraction in Six Blocks to Detect and Recognize English Numbers

Abbas

Mohamad

2021

eijs

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The Fuzzy Logic method was implemented to detect and recognize English numbers in this paper. The extracted features within this method make the detection easy and accurate. These features depend on the crossing point of two vertical lines with one horizontal line to be used from the Fuzzy logic method, as shown by the Matlab code in this study. The font types are Times New Roman, Arial, Calabria, Arabic, and Andalus with different font sizes of 10, 16, 22, 28, 36, 42, 50 and 72. These numbers are isolated automatically with the designed algorithm, for which the code is also presented. The number’s image is tested with the Fuzzy algorithm depending on six-block properties only. Groups of regions (High, Medium, and Low) for each number showed unique behavior to recognize any number. Normalized Absolute Error (NAE) equation was used to evaluate the error percentage for the suggested algorithm. The lowest error was 0.001% compared with the real number. The data were checked by the support vector machine (SVM) algorithm to confirm the quality and the efficiency of the suggested method, where the matching was found to be 100% between the data of the suggested method and SVM. The six properties offer a new method to build a rule-based feature extraction technique in different applications and detect any text recognition with a low computational cost.

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Authentication System Based on Hand Writing Recognition

Cited by 6 publications

References 7 publications

Honeyword Generation Using a Proposed Discrete Salp Swarm Algorithm

Honeyword Generation Using a Proposed Discrete Salp Swarm Algorithm

Generating Honeyword Based on A Proposed Bees Algorithm

Feature Extraction in Six Blocks to Detect and Recognize English Numbers

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