Norah Alajlan; Meshael Alyahya; Noorah Alghasham; Dina M. Ibrahim
Abstract
Date fruits are considered essential food and the most important agricultural crop in Saudi Arabia. Where Saudi Arabia produces many of the types of dates per year. Collecting large data for date fruits is a difficult task and consumedtime, besides some of the date types are seasonal. Wherein convolutional ...
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Date fruits are considered essential food and the most important agricultural crop in Saudi Arabia. Where Saudi Arabia produces many of the types of dates per year. Collecting large data for date fruits is a difficult task and consumedtime, besides some of the date types are seasonal. Wherein convolutional neural networks (CNN) model needs large datasets to achieve high classification accuracy and avoid the overfitting problem. In this paper, an augmented date fruits dataset was developed using deep convolutional generative adversarial networks techniques (DCGAN). The dataset contains 600 images for three varieties of dates (Sukkari, Suggai and Ajwa). The performance of DCGAN was evaluated using Keras and MobileNet models. An extensive simulation shows the classify using DCGAN with the MobileNet model achieved 88% of accuracy. Whilst 44% for the Keras. Besides, MobileNet achieved better classification in the original dataset.
Mohammed S. Albulayhi; Dina M. Ibrahim
Abstract
The Open Web Application Security Project (OWASP) is a nonprofit organization battling for the improvements of software protection and enhancing the security of web applications. Moreover, its goal is to make application security “accessible” so that individuals and organizations can make ...
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The Open Web Application Security Project (OWASP) is a nonprofit organization battling for the improvements of software protection and enhancing the security of web applications. Moreover, its goal is to make application security “accessible” so that individuals and organizations can make educated decisions about security threats. The OWASP is a repository of tools and standards for web security study. OWASP released an annual listing of the top 10 most common vulnerabilities on the web in 2013 and 2017. This research paper proposed a comprehensive study on Components with known vulnerabilities attack, which is ninth attack (A9) among the top 10 vulnerabilities. Components with known vulnerabilities are the third-party components that focal system uses as authentication frameworks. Depending on the vulnerability it could range from subtle to seriously bad. This danger arises because the app’s modules, like libraries and frameworks, are almost always run with the highest privileges. If a compromised aspect is abused, the hacker’s task of causing significant loss of information or server takeover is easier.