Web phishing detection using a deep learning framework
Web service is one of the key communications software services for the Internet. Web
phishing is one of many security threats to web services on the Internet. Web phishing aims …
phishing is one of many security threats to web services on the Internet. Web phishing aims …
A prediction approach to end-to-end traffic in space information networks
S Qi, D Jiang, L Huo - Mobile Networks and Applications, 2021 - Springer
Abstract Software Defined Space Information Networks (SDSIN) is increasingly applied to
life and production, the reason is that it can cope with various complex environments and …
life and production, the reason is that it can cope with various complex environments and …
Software-defined-networking-enabled traffic anomaly detection and mitigation
Traffic anomaly detection has been a principal direction in the network security field, which
aims to identify attacks based on significant deviations from the established normal usage …
aims to identify attacks based on significant deviations from the established normal usage …
DPMM: dynamic pseudonym-based multiple mix-zones generation for mobile traveler
Road traffic information has become indispensable for routine vehicular communication but
user location privacy an important issue which did not well addressed. An adversary may …
user location privacy an important issue which did not well addressed. An adversary may …
A novel Low-rate Denial of Service attack detection approach in ZigBee wireless sensor network by combining Hilbert-Huang Transformation and Trust Evaluation
H Chen, C Meng, Z Shan, Z Fu, BK Bhargava - IEEE Access, 2019 - ieeexplore.ieee.org
Low-rate Denial of Service (LDoS) attack is a special DoS attack. The routing protocol is
vulnerable to many types of attacks in a wireless sensor network (WSN), which is an …
vulnerable to many types of attacks in a wireless sensor network (WSN), which is an …
Anomaly network traffic detection algorithm based on information entropy measurement under the cloud computing environment
C Yang - Cluster Computing, 2019 - Springer
In recent years, there are more and more abnormal activities in the network, which greatly
threaten network security. Hence, it is of great importance to collect the data which indicate …
threaten network security. Hence, it is of great importance to collect the data which indicate …
A novel ensembled technique for anomaly detection
Anomaly detection is a technique that works to detect those instances of data that do not
comply with the data model. In this paper the problem of anomaly detection in networked …
comply with the data model. In this paper the problem of anomaly detection in networked …
Network anomaly traffic detection algorithm based on SVM
Y Lei - 2017 International Conference on Robots & Intelligent …, 2017 - ieeexplore.ieee.org
In order to guarantee the high level of network security and improve the user experience of
the network, in this paper, we propose an effective network anomaly traffic detection …
the network, in this paper, we propose an effective network anomaly traffic detection …
Traffic matrix prediction and estimation based on deep learning for data center networks
Network traffic analysis is a crucial technique for systematically operating a data center
network. Many network management functions rely on exact network traffic information …
network. Many network management functions rely on exact network traffic information …
Modeling network traffic for traffic matrix estimation and anomaly detection based on Bayesian network in cloud computing networks
L Nie, D Jiang, Z Lv - Annals of Telecommunications, 2017 - Springer
With the rapid development of a cloud computing network, the network security has been a
terrible problem when it provides much more services and applications. Network traffic …
terrible problem when it provides much more services and applications. Network traffic …