• Yawar Rasool Mir
• Navneet Kaur Sandhu

Contrasted with past, developments in computer and communication technologies have provided extensive and advanced changes. The use of new advances give incredible advantages to people, organizations, and governments, in any case, it causes a few issues against them. For example, the protection of significant data, security of put away information stages, accessibility of learning and so on. Contingent upon these issues, digital fear based oppression is a standout amongst the most significant issues in this world. Cyber fear, which made a ton of issues people and establishments, has achieved a dimension that could undermine open and nation security by different gatherings, for example, criminal associations, proficient people and digital activists. Hence, Intrusion Detection Systems (IDS) have been created to maintain a strategic distance from digital assaults. In this examination, Artificial Neural Network, Random Forest (RF) and Support vector machine (SVM), calculations were utilized to recognize port scan attempts dependent on the new CICIDS2017 dataset and 98.87%, 99.20%, 72.19% precision rates were achieved respectively.

IDS, Cyber Terror, ANN, SVM, RF, CICIDS2017

"Port Scan Detection using AI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.8-14, May-2019, Available :http://www.jetir.org/papers/JETIR1905R02.pdf

"Port Scan Detection using AI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp8-14, May-2019, Available at : http://www.jetir.org/papers/JETIR1905R02.pdf