@conference {Zaazaa2020,
	title = {Dynamic vulnerability detection approaches and tools: State of the Art},
	booktitle = {4th International Conference on Intelligent Computing in Data Sciences, ICDS 2020},
	year = {2020},
	note = {cited By 0},
	abstract = {Vulnerabilities are everywhere around us. Every device we use in our daily life include a software that may contain vulnerabilities. The growth use of software and devices to automate some of our daily life actions is making these programs more complex and more connected to the internet, which increase the risk of cyber-attacks. To reduce this risk, multiple programming companies are trying to use different approaches to find these vulnerabilities. Some are using static approaches during the software development life cycle while others are using dynamic analysis approaches to find vulnerabilities once the application is correctly working. Unfortunately, both approaches still suffer from multiple limitation and still need improvement. In this paper, we are discussing some of the most recent dynamic approaches and the efficient of the tools that use them. {\textcopyright} 2020 IEEE.},
	keywords = {Analysis approach, Application programs, Cyber-attacks, Daily lives, Data Science, Dynamic approaches, Intelligent computing, Network security, Software design, Software development life cycle, State of the art, Static approach, Vulnerability detection},
	doi = {10.1109/ICDS50568.2020.9268686},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098666133\&doi=10.1109\%2fICDS50568.2020.9268686\&partnerID=40\&md5=faef5d40937e4c62a3326a3576d0e8e8},
	author = {Zaazaa, O. and El Bakkali, H.}
}
