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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.

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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
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