Traffic Monitoring and Malicious Detection Multidimensional PCAP Data Using Optimized LSTM RNN

Introduction

The unlimited accessibility of human society is the Internet which became an essential infrastructure. Though, few unavoidable issues of security on internet are characterized, such as disclosure of privacy, malicious software and phishing are the problems associated with security which are inevitably characterized in the internet, by this user’s economy will become a serious threat (Alghoul et al., 2018). Malicious code is a type of malicious programming code or internet scripting that is meant to cause security flaws that contribute to rear gates, privacy violations, access and data-stealing, as well as other possible document and group of computers destruction. It's a form of danger that antivirus programs might not have been able to detect by themselves. The surface of attack is extensive and is defended by both cyber and physical spaces. Data management layer, control layer, and communication layer are comprised in it. The data management level of a model is developed by a steering committee in four steps: establishing the collection structure, translating the issue domain categories towards the specified layout, optimizing the memory to effectively function, and developing the appropriate information accessibility and manipulating methods. The mechanics of precipitation, wind, humidity, and warmth movement are controlled by several elements in the environment network. These parameters are considered as control layers. The Communication layer is in charge of connection, the signal passing amongst external machines, especially transportation connecting source and the network. The Communication layer allows creating how equipment sends messages IoT signals, as well as how sensors depict and maintain their physiological body in the clouds.