首页|New Intelligent Systems Study Findings Has Been Reported by a Researcher at Al-I raqia University (Systematic literature review on intrusion detection systems: R esearch trends, algorithms, methods, datasets, and limitations)
New Intelligent Systems Study Findings Has Been Reported by a Researcher at Al-I raqia University (Systematic literature review on intrusion detection systems: R esearch trends, algorithms, methods, datasets, and limitations)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New study results on intelligent systems have bee n published. According to news reporting from Baghdad, Iraq, by NewsRx journalis ts, research stated, "Machine learning (ML) and deep learning (DL) techniques ha ve demonstrated significant potential in the development of effective intrusion detection systems." The news reporters obtained a quote from the research from Al-Iraqia University: "This study presents a systematic review of the utilization of ML, DL, optimiza tion algorithms, and datasets in intrusion detection research from 2018 to 2023. We devised a comprehensive search strategy to identify relevant studies from sc ientific databases. After screening 393 papers meeting the inclusion criteria, w e extracted and analyzed key information using bibliometric analysis techniques. " According to the news editors, the research concluded: "The findings reveal incr easing publication trends in this research domain and identify frequently used a lgorithms, with convolutional neural networks, support vector machines, decision trees, and genetic algorithms emerging as the top methods. The review also disc usses the challenges and limitations of current techniques, providing a structur ed synthesis of the state-of-the-art to guide future intrusion detection researc h."
NETL
NSTL
