| Improving Cybersecurity Systems Using Artificial Intelligence Techniques |
| کد مقاله : 1001-CYSP2023 (R1) |
| نویسندگان: |
|
Ismail Humied * Ministry of Interior |
| چکیده مقاله: |
| Cyberattacks and threats are in complexity every day. With the number of attacks growing every day around the world, there are a variety of methods and strategies for penetrating business systems and individual devices. Individual attackers, organizations, and whole nations are responsible for these attacks. Attack resources are growing and cyberattacks can have severe global impact and consequences. These variables make it difficult for security teams to keep pace, so smarter solutions are needed. This research provides an overview of how two areas of artificial intelligence (AI), machine learning and deep learning, can be used to meet cybersecurity challenges. The research can also show how existing AI technologies can improve cybersecurity. Security systems can use AI to automate time-consuming manual security operations and make detection and response more proactive and predictive. As part of this research, a workshop was held with official from government and private agencies, who are responsible for network monitoring and security. During this workshop, a discussion occurred what problems individuals had at work. Thus, this research includes potential AI-based remedies for identifying issues. |
| کلیدواژه ها: |
| Artificial Intelligence, Machine Learning, Deep Learning, Cybersecurity, Cyber-attacks, Cybercrime, Detect |
| وضعیت : مقاله برای ارائه شفاهی پذیرفته شده است |
