IJAIEM

Surukutla.Sreeshanth ,Kommawar.Sapneel , Kommana.Manikanta ,G Prabakaran

Abstract

Most modern cloud and web services are program matically accessed through REST APIs. This paper discusses how an attacker might compromise a service by exploiting vulnerabilities in its REST API. We introduce four security rules that capture desirable properties of REST APIs and services. We then show how a stateful REST API fuzzer can be extended with active property checkers that automatically test and detect violations of these rules. We discuss how to implement such checkers in a modular and efficient way. Using these checkers, we found new bugs in several deployed production Azure and Office 365 cloud services, and we discuss their security implications. All these bugs have been fixed.Keywords: Low Light Image Enhancement, Deep Learning, Image Enhancement, Low Light Vision, Dark Image Processing, Low light image restoration, neural networks for low light, enhancing visibility in low light image, denoising, image dehazing, noise reduction.Keywords-Test generation; Security; C