Network Intrusion Detection: Based on Deep Hierarchical Network and Original Flow Data
نویسندگان
چکیده
منابع مشابه
Flow Based Intrusion Detection and Prevention By Adaptive Network Learning
With the emergence of global connectivity with expansion of computer networks during the past decade, security threats in network have become a crucial issue for computer systems. Nowadays, it is very important to retain a high level security to ensure safe and trusted communication for information exchange across the network. Different softcomputing based methods and tools have been proposed i...
متن کاملNetwork Intrusion Detection based on GMKL Algorithm
According to the 31th statistical reports of China Internet network information center (CNNIC), by the end of December 2012, the number of Chinese netizens has reached 564 million, and the scale of mobile Internet users also reached 420 million. But when the network brings great convenience to people's life, it also brings huge threat in the life of people. So through collecting and analyzing t...
متن کاملNetwork Intrusion Detection Based on PSO-SVM
In order to improve network intrusion detection precision, this paper proposed a network intrusion detection model based on simultaneous selecting features and parameters of support vector machine (SVM) by particle swarm optimization (PSO) algorithm. Firstly, the features and parameters of SVM are coded to particle, and then the PSO is used to find the optimal features and SVM parameters by col...
متن کاملClustering-based Network Intrusion Detection
Recently data mining methods have gained importance in addressing network security issues, including network intrusion detection—a challenging task in network security. Intrusion detection systems aim to identify attacks with a high detection rate and a low false alarm rate. Classification-based data mining models for intrusion detection are often ineffective in dealing with dynamic changes in ...
متن کاملFlow-based Anomaly Intrusion Detection System Using Neural Network
tational power to analyze only the basic characteristics of network flow, so as to Intrusion Detection systems (KBIDES) classify the data vectors based on a carefully be using spiking (biologically inspired) Artificial Neural Networks (SANN). neural network is applied to intrusion detection system model in this paper. Experimental improved PSO-BP neural network algorithm flow.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Access
سال: 2019
ISSN: 2169-3536
DOI: 10.1109/access.2019.2905041