Detecting network attacks model based on a convolutional neural network

<p>Due to the increasing use of networks at present, Internet systems have raised many security problems, and statistics indicate that rate attacks or intrusions has increased excessively annually, in event any malicious attack on network vulnerabilities information systems, it may lead serious disasters, violating policies security, i.e., “confidentiality, integrity, availability” (CIA). Therefore, detection such as intrusion system, appeared. In this paper, we built a system detects using latest machine learning algorithms convolutional neural based dataset CSE-CIC-IDS2018. It is recent contains set common attacks. The 99.7%, distinguishing between aggressive natural assertiveness.</p>