Call for Papers:Vol.11 Issue.4

Submission
Last date		 28-Aug-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-4. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Password Strength Tester
PaperId: :  20152
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 3 2023
DUI:    16.0415/IJARIIE-20152
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Raj SinghGalogotias University
Harsh Kumar KasheraGalogotias University

Abstract

Computer Science Engeneering
Strength,Encrptation
Abstract—It is a well known fact that user-chosen passwords are somewhat predictable: by using tools such as dictionaries or probabilistic models, attackers and password recovery tools can drastically reduce the number of attempts needed to guess a password. Quite surprisingly, however, existing literature does not provide a satisfying answer to the following question: given a number of guesses, what is the probability that a state-of-the-art attacker will be able to break a password? To answer the former question, we compare and evaluate the effectiveness of currently known attacks using various datasets of known passwords. We find that a “diminishing returns” principle applies: in the absence of an enforced password strength policy, weak passwords are common; on the other hand, as the attack goes on, the probability that a guess will succeed decreases by orders of magnitude. Even extremely powerful attackers won’t be able to guess a substantial percentage of the passwords. The result of this work will help in evaluating the security of authentication means based on user-chosen passwords, and our methodology for estimating password strength can be used as a basis for creating more effective proactive password checkers for users and security auditing tools for administrators.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Raj Singh, and Harsh Kumar Kashera. "Password Strength Tester" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 3 2023 Page 861-872
MLA Raj Singh, and Harsh Kumar Kashera. "Password Strength Tester." International Journal Of Advance Research And Innovative Ideas In Education 9.3(2023) : 861-872.
APA Raj Singh, & Harsh Kumar Kashera. (2023). Password Strength Tester. International Journal Of Advance Research And Innovative Ideas In Education, 9(3), 861-872.
Chicago Raj Singh, and Harsh Kumar Kashera. "Password Strength Tester." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 3 (2023) : 861-872.
Oxford Raj Singh, and Harsh Kumar Kashera. 'Password Strength Tester', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, 2023, p. 861-872. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Password_Strength_Tester_ijariie20152.pdf (Accessed : ).
Harvard Raj Singh, and Harsh Kumar Kashera. (2023) 'Password Strength Tester', International Journal Of Advance Research And Innovative Ideas In Education, 9(3), pp. 861-872IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Password_Strength_Tester_ijariie20152.pdf (Accessed : )
IEEE Raj Singh, and Harsh Kumar Kashera, "Password Strength Tester," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, pp. 861-872, May-Jun 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/Password_Strength_Tester_ijariie20152.pdf [Accessed : ].
Turabian Raj Singh, and Harsh Kumar Kashera. "Password Strength Tester." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 3 ().
Vancouver Raj Singh, and Harsh Kumar Kashera. Password Strength Tester. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(3) : 861-872. Available from: https://ijariie.com/AdminUploadPdf/Password_Strength_Tester_ijariie20152.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Real-Time Hand Gesture Recognition with Finger Counting (Using OpenCV and Mediapipe)Computer scienceBhumika Sahu Download
Diffie Hellman Key Exchange Algorithm with Man in the middle attack (MITM)Computer Science EngineeringMahesh Purushottam Gajbhiye Download
AN IMPROVED ATTRIBUTE BASED ACCESS CONTROL IN PERSONAL HEALTH RECORDS USING CLOUD WITH CONSTANT CIPHERTEXT LENGTHScience and TechBitrus Isahaka Dzarma Download
Driver Drowsiness Detection System By Measuring EAR and MARComputer Engineering Zoya Fatema Khan Download
Cloud-Based File Storage and Sharing Web ApplicationComputer Science & EngineeringMohammed Aadil Download
STUDYNEST: ONLINE LEARNING PLATFORM WITH AI RECOMMENDATION SYSTEMComputer Science and Engineering Urvashi Suresh Waghmare Download
Leveraging AWS for Developing and Hosting a Dynamic Food Ordering Web ApplicationComputer EngineeringAfshin Khanam Download
Edge-to-Cloud Synergy: An Autoencoder-GAN Framework for Anomaly Detection in Healthcare Records, Financial Statements, and Secure Cloud StorageInformation TechnologyKarthik Kushala Download
E-Commerce Fraud Detection Based on Machine Learning TechniquesComputer Science EngneeringVikram Ankush Ade Download
Detection of Phishing Website Using Gradient Boosting AlgorithmComputer Science and EngineeringYAWALKAR PRASAD PRAMOD Download
Property Dealing WebComputer Science EngineeringYash Chaudhari Download
Reinforcement Learning for the Evolution of Antimicrobial Nano formulationsmachine learningMadhusudan Download
SecuraVault: A secured blockchain based cloud storage systemComputer Engineering Anshika Jaiswal Download
Autoimmune Disease Detection in women Using Machine Learning Approachcomputer science EngineeringJ. L. V. S. Download
Medicine Overdose Detection System Using Machine LearningComputer Science EngineeringDr.Somashekhar B M Download
12