Project Abstract

The current undertaking bases on utilizing the ISCX NSL-KDD dataset of 2009 inside the structure of the Canadian Organization for Network protection (CIC) at the College of New Brunswick. The essential goal is to direct high level innovative work drives pointed toward improving interruption discovery frameworks (IDS) and strengthening network safety measures (Aktar,2023).Specified the multidisciplinary idea of the CIC, drawing on mastery from different fields including sociologies, business, software engineering, designing, regulation, and science, this task will embrace an integrative methodology. Specialists and experts from assorted foundations will team up to investigate the NSL-KDD dataset thoroughly.The venture scope includes a few key features. There, right off the bat, will be a comprehensive investigation of the NSL-KDD dataset, grasping its design, highlights, and intrinsic difficulties. This underlying stage will act as the establishment for ensuing examination exercises.Expanding upon this basis, the venture will dive into the advancement of novel calculations and strategies for interruption recognition. Utilizing AI, information mining, and measurable examination methods, the point is to improve the exactness and productivity of IDS in identifying and relieving digital dangers.Moreover, the venture will focus on the viable pertinence of its discoveries. Research results will illuminate the plan and execution regarding true network protection arrangements, tending to the advancing scene of digital dangers and weaknesses.All through the venture lifecycle, accentuation will be put on joint effort, development, and information scattering. Ordinary trade of thoughts, peer survey meetings, and commitment with industry partners will guarantee the significance and effect of the exploration endeavors (Arunadevi,2023).This task addresses a purposeful work to propel the cutting edge in interruption location and online protection, utilizing the rich assets of the NSL-KDD dataset inside the cooperative biological system of the CIC.

Keywords: Artificial Intelligence, Machine learning with network security, NSL-KDD dataset

 Conference Details

Session: Presentation Stream 12 at Presentation Slot 4

Location: College 017 at Tuesday 7th 13:30 – 17:00

Markers: Scott Yang Yang, Ehinafa Akinola (GTA)

Course: MSc Computer Science, Masters PG

Future Plans: I’m looking for an industry placement