… , deep learning has made great achievements in speech recognition, computer vision and
big data … for solving the current intrusion detection problem. This paper studies the traditional …

… large numbers of marked samples and other shortcomings. In this paper, a network intrusion
detection … Comparison with the results of other deep learning methods 表2. 与其他深度学习…

… Although technical specifics about the National Big Data Cyber Range are hard to find, some
… , use of the cyber range could itself generate more training data to feed machine learning (…

… I will emphasise that large data sets often contain, for the purposes for which the data will be
used… It is in the tradition of artificial intelligence, machine learning, management information …

… employment of the military Internet of Things, big data, and cloud computing. However, for
… Recently, Baidu’s Deep Learning Lab entered its own artificial intelligence robot in a contest …

… With more and more AIS systems are installed on board, massive amounts of AIS data have
… the detection of abnormal behaviours. In this paper, various algorithms used for detecting …

… With the arrival of the era of big data and the diversification of network attack means, … of
Deep learning with intrusion detection technology, and proposes an intrusion detection model …

… security situation awareness and security big data analysis. … intrusion detection methods
based on deep learning. [Conclusions] Intrusion detection technologies based on deep learning …