Call for Papers:Vol.11 Issue.3

Submission
Last date		 28-Jun-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-3. 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: :  APPROACH FOR TEST INPUT OPTIMISATION AND PRIORITIZATION
PaperId: :  23057
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 2 2024
DUI:    16.0415/IJARIIE-23057
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Jesudoss RHindusthan College of Engineering and Technology
Kamaleshkumar MHindusthan College of Engineering and Technology
Akilan KHindusthan College of Engineering and Technology
Nikita Ankush PatilHindusthan College of Engineering and Technology
Sathya S M.EHindusthan College of Engineering and Technology

Abstract

Computer Science Engineering
Accidental errors, Detecting anomaly, Machine learning, Fraud detection.
In the realm of machine learning, models frequently encounter challenges stemming from unexpected or deliberately misleading inputs. To address these issues, our project provides a holistic solution aimed at mitigating accidental errors and thwarting malicious deception. Our approach primarily centers on two critical objectives: detecting anomaly, which represent unexpected data patterns, and fortifying defenses against adversarial attacks, wherein intentionally misleading data is crafted to exploit vulnerabilities in the model. Central to our strategy is the astute selection of examples to test our models, a pivotal aspect particularly vital in domains such as cybersecurity, fraud detection, and other mission-critical systems where the reliability and safety of model decisions are paramount. By meticulously choosing which instances to evaluate the model against, we enhance its robustness and resilience to unforeseen circumstances and adversarial manipulation. Through rigorous testing and validation procedures, we ensure that our models are equipped to handle a diverse array of scenarios effectively. This proactive approach not only bolsters the trustworthiness and dependability of machine learning systems but also safeguards against potentially catastrophic consequences resulting from erroneous or compromised decisions. In essence, our project strives to empower organizations across various sectors with cutting-edge tools and methodologies to navigate the complex landscape of machine learning, fostering a safer and more secure digital environment.

Citations

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

IJARIIE Jesudoss R, Kamaleshkumar M, Akilan K, Nikita Ankush Patil, and Sathya S M.E. "APPROACH FOR TEST INPUT OPTIMISATION AND PRIORITIZATION" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 2 2024 Page 3502-3508
MLA Jesudoss R, Kamaleshkumar M, Akilan K, Nikita Ankush Patil, and Sathya S M.E. "APPROACH FOR TEST INPUT OPTIMISATION AND PRIORITIZATION." International Journal Of Advance Research And Innovative Ideas In Education 10.2(2024) : 3502-3508.
APA Jesudoss R, Kamaleshkumar M, Akilan K, Nikita Ankush Patil, & Sathya S M.E. (2024). APPROACH FOR TEST INPUT OPTIMISATION AND PRIORITIZATION. International Journal Of Advance Research And Innovative Ideas In Education, 10(2), 3502-3508.
Chicago Jesudoss R, Kamaleshkumar M, Akilan K, Nikita Ankush Patil, and Sathya S M.E. "APPROACH FOR TEST INPUT OPTIMISATION AND PRIORITIZATION." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 2 (2024) : 3502-3508.
Oxford Jesudoss R, Kamaleshkumar M, Akilan K, Nikita Ankush Patil, and Sathya S M.E. 'APPROACH FOR TEST INPUT OPTIMISATION AND PRIORITIZATION', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, 2024, p. 3502-3508. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/APPROACH_FOR_TEST_INPUT_OPTIMISATION_AND_PRIORITIZATION_ijariie23057.pdf (Accessed : 14 May 2024).
Harvard Jesudoss R, Kamaleshkumar M, Akilan K, Nikita Ankush Patil, and Sathya S M.E. (2024) 'APPROACH FOR TEST INPUT OPTIMISATION AND PRIORITIZATION', International Journal Of Advance Research And Innovative Ideas In Education, 10(2), pp. 3502-3508IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/APPROACH_FOR_TEST_INPUT_OPTIMISATION_AND_PRIORITIZATION_ijariie23057.pdf (Accessed : 14 May 2024)
IEEE Jesudoss R, Kamaleshkumar M, Akilan K, Nikita Ankush Patil, and Sathya S M.E, "APPROACH FOR TEST INPUT OPTIMISATION AND PRIORITIZATION," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, pp. 3502-3508, Mar-App 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/APPROACH_FOR_TEST_INPUT_OPTIMISATION_AND_PRIORITIZATION_ijariie23057.pdf [Accessed : 14 May 2024].
Turabian Jesudoss R, Kamaleshkumar M, Akilan K, Nikita Ankush Patil, and Sathya S M.E. "APPROACH FOR TEST INPUT OPTIMISATION AND PRIORITIZATION." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 2 (14 May 2024).
Vancouver Jesudoss R, Kamaleshkumar M, Akilan K, Nikita Ankush Patil, and Sathya S M.E. APPROACH FOR TEST INPUT OPTIMISATION AND PRIORITIZATION. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : 14 May 2024]; 10(2) : 3502-3508. Available from: https://ijariie.com/AdminUploadPdf/APPROACH_FOR_TEST_INPUT_OPTIMISATION_AND_PRIORITIZATION_ijariie23057.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 5/14/2024 10:32:40 AM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
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
Home Price Prediction Using Machine LearningComputer Science & Engineering G Tushar Download
Heat diseases prediction using machine learningComputer EngineeringProf. Meghashree M B Download
GRIDSHIELD AIComputer EngineeringDr. Archana B Download
Diabetic Retinopathy Detection with AI InsightsComputer EngineeringJay Mahesh Gurav Download
Personalized Fitness Segmentation with Actionable InsightsMachine LearningAnju Tiwari Download
Sentiment-Based Machine Learning Approach for Mapping Citizen ProblemsComputer science and EngineeringDr. Madhu B K Download
12