Network Traffic Anomaly Detection Algorithm Based on Intuitionistic Fuzzy Time Series Graph Mining
نویسندگان
چکیده
منابع مشابه
Anomaly Detection on Graph Time Series
In this paper, we use variational recurrent neural network to investigate the anomaly detection problem on graph time series. The temporal correlation is modeled by the combination of recurrent neural network (RNN) and variational inference (VI), while the spatial information is captured by the graph convolutional network. In order to incorporate external factors, we use feature extractor to au...
متن کاملA Real Time Traffic Sign Detection and Recognition Algorithm based on Super Fuzzy Set
Advanced Driver Assistance Systems (ADAS) benefit from current infrastructure to discern environmental information. Traffic signs are global guidelines which inform drivers from near characteristics of paths ahead. Traffic Sign Recognition (TSR) system is an ADAS that recognize traffic signs in images captured from road and show information as an adviser or transmit them to other ADASs. In this...
متن کاملNetwork Traffic Anomaly Detection
This paper presents a tutorial for network anomaly detection, focusing on non-signature-based approaches. Network traffic anomalies are unusual and significant changes in the traffic of a network. Networks play an important role in today’s social and economic infrastructures. The security of the network becomes crucial, and network traffic anomaly detection constitutes an important part of netw...
متن کاملSketch-based Network-wide Traffic Anomaly Detection
Internet has become an essential part of the daily life for billions of users worldwide, who are using a large variety of network services and applications everyday. However, there have been serious security problems and network failures that are hard to resolve, for example, Botnet attacks, polymorphic worm/virus spreading, DDoS, and flash crowds. To address many of these problems, we need to ...
متن کاملAnomaly Intrusion Detection based on Fuzzy Logic and Data Mining
Intrusion Detection Systems are increasingly a key part of systems defense. Various approaches to Intrusion Detection are currently being used, but they are relatively ineffective. Artificial Intelligence plays a driving role in security services. This paper proposes a dynamic model Intelligent Intrusion Detection System, based on specific AI approach for intrusion detection. The techniques tha...
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: 2020
ISSN: 2169-3536
DOI: 10.1109/access.2020.2983986