2690-6791ISSN (Online)
2769-786XISSN (Print)
Volume 5 , Issue 2 , PP: 77-87, 2021 | Cite this article as | XML | Html | PDF | Full Length Article
Sonia Ibrahim 1 * , Nada Alkenani 2 , Banan Alghamdi 3 , Amal Alfgeeh 4 , Salwa alghamdl 5 , Yusra Alzhrani 6 , Amani Almuntashiri 7 , Rawan Alghamdi 8 , Abeer Salawi 9 , Wejdan Ahmed Alghamdi 10 , Mohammed. I. Alghamdi 11
Doi: https://doi.org/10.54216/JISIoT.050203
Cyber security practices mainly involve the prevention of external threats to software, hardware, server data, and other assets which are connected to the internet. Organizations follow a lot of cyber security practices to protect their systems and databases from malicious cyber actors. Cybercriminals use different techniques like spear-phishing, phishing, password attack, denial of service, ransomware, etc. to cause harm to people, organizations, and governments and steal important information from them. We analyzed the use of deep learning algorithms to deal with cyber-attacks. Deep neural networks or deep learning consist of machine learning procedures to support the network to fix complex issues and learn from unmanaged data. In addition, we also analyzed some of the cyber security laws and practices implemented in the US and Saudi Arabia to work collaboratively against cyber threats. It is observed that both countries are doing well against cyberthreats, but they need to work even more to provide training and support to professionals in the public sector who handle sensitive data about cyber security.
Saudi Arabia, US, Cyber Security, Cyberthreats.
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