Deep learning for vulnerability and attack detection on web applications: A systematic literature review

RL Alaoui, EH Nfaoui - Future Internet, 2022 - mdpi.com
Web applications are the best Internet-based solution to provide online web services, but
they also bring serious security challenges. Thus, enhancing web applications security …

[PDF][PDF] Software architecture quality measurement stability and understandability

M Alenezi - International Journal of Advanced Computer Science …, 2016 - researchgate.net
Over the past years software architecture has become an important sub-field of software
engineering. There has been substantial advancement in develo** new technical …

Predicting web vulnerabilities in web applications based on machine learning

MN Khalid, H Farooq, M Iqbal, MT Alam… - … and Applications: First …, 2019 - Springer
Building a secure website is time-consuming, expensive and challenging task for web
developers. Researchers to identify webpage sinks to address security efforts, as it helps to …

[PDF][PDF] Security risks in the software development lifecycle

M Alenezi, S Almuairfi - International Journal of Recent …, 2019 - researchgate.net
Security is a significant concern in software development. Risks and errors should be
reduced and as much as possible eliminated. Especially with how the computer and internet …

A unified fuzzy-based symmetrical multi-criteria decision-making method for evaluating sustainable-security of web applications

A Agrawal, M Alenezi, R Kumar, RA Khan - Symmetry, 2020 - mdpi.com
Although security is an integral aspect of any web application's growth, sustainability is also
a pivotal factor in maintaining the web application. It is clear that the software industry aims …

A systematic literature review on software vulnerability prediction models

D Bassi, H Singh - IEEE Access, 2023 - ieeexplore.ieee.org
The prediction of software vulnerability requires crucial awareness during the software
specification, design, development, and configuration to achieve less vulnerable and secure …

[PDF][PDF] The effect of dual hyperparameter optimization on software vulnerability prediction models

D Bassi, H Singh - e-Informatica Software Engineering Journal, 2023 - bibliotekanauki.pl
Background: Prediction of software vulnerabilities is a major concern in the field of software
security. Many researchers have worked to construct various software vulnerability …

Software vulnerability prediction using grey wolf-optimized random forest on the unbalanced data sets

W Rhmann - … Journal of Applied Metaheuristic Computing (IJAMC), 2022 - igi-global.com
Any vulnerability in the software creates a software security threat and helps hackers to gain
unauthorized access to resources. Vulnerability prediction models help software engineers …

[PDF][PDF] Developer companion: A framework to produce secure web applications

M Alenezi, Y Javed - International Journal of Computer Science and …, 2016 - academia.edu
Software engineering and development is a very complex endeavor that contends with
limited resources, potentially causing software to behave in an unexpected manner …

Predicting vulnerabilities in web applications based on website security model

I Kovacevic, M Marovic, S Gros… - … Conference on Software …, 2022 - ieeexplore.ieee.org
Web sites and services are probably the most used digital channels today, from ordinary
web-sites to cloud services that enable many aspects of our digital lives. Due to the …