Brain network similarity: methods and applications by Ahmad Mheich, Fabrice Wendling, Mahmoud Hassan MIT Press – Journals Graph theoretical approach has proved an effective tool to understand, characterize, and quantify the complex brain network. However, much less attention has been paid to methods that quantitatively compare two graphs, a crucial issue in the context of […]
Graph convolutional network for fMRI analysis based on connectivity neighborhood by Lebo Wang, Kaiming Li, Xiaoping P. Hu MIT Press – Journals There have been successful applications of deep learning to functional magnetic resonance imaging (fMRI), where fMRI data were mostly considered to be structured grids, and spatial features from Euclidean neighbors were usually extracted […]
Security Analysis of a Space-Based Wireless Network by Daojing He, Xuru Li, Sammy Chan, Jiahao Gao, Mohsen Guizani Institute of Electrical and Electronics Engineers (IEEE) With the gradual deployment of the spacebased wireless network, security risks in the data communication between satellites and even the internal structure of a satellite become extremely important. In this […]
Data-Driven Network Intelligence for Anomaly Detection by Shengjie Xu, Yi Qian, Rose Qingyang Hu Institute of Electrical and Electronics Engineers (IEEE) Data-driven network intelligence will offer a robust, efficient, and effective computing system for anomaly detection in cyber security applications. In this article, we first summarize the current development and challenges of network intelligence for […]
An Intrusion Detection System Based on Convolutional Neural Network for Imbalanced Network Traffic by Xiaoxuan Zhang, Jing Ran, Jize Mi Institute of Electrical and Electronics Engineers (IEEE) As the Internet integrates with social life closely, various cyber threats pose a huge challenge to Intrusion Detection Systems (IDS). The performance of IDS based on traditional machine […]
5G and Beyond: Smart Devices as Part of the Network Fabric by B.aldomero Coll-Perales, Javier Gozalvez, Juan Luis Maestre Institute of Electrical and Electronics Engineers (IEEE) 5G networks mainly rely on infrastructure-centric cellular solutions to address data traffic and service demands. Continuously scaling infrastructure- centric cellular networks is not exempt from challenges, and beyond […]
Achieving a Covert Channel over an Open Blockchain Network by Feng Gao, Liehuang Zhu, Keke Gai, Can Zhang, Sheng Liu Institute of Electrical and Electronics Engineers (IEEE) Blockchain technology is an immutable database that cannot be censored, tampered with, or erased, which can increase credibility and reduce interaction costs. Therefore, blockchain technology is expected to […]
DeepNFV: A Lightweight Framework for Intelligent Edge Network Functions Virtualization by Liangzhi Li, Kaoru Ota, Mianxiong Dong Institute of Electrical and Electronics Engineers (IEEE) Traditional Network Functions Virtualization (NFV) implementations are somehow too heavy and do not have enough functionality to conduct complex tasks. In this work, we propose a lightweight NFV framework named […]
End-to-End Network Slicing in Radio Access Network, Transport Network and Core Network Domains by Xu Li, Rui Ni, Jun Chen, Yibo Lyu, Zhichao Rong, Rui Du Institute of Electrical and Electronics Engineers (IEEE) Network slicing (NS) has been well discussed in the transport network (TN) and core network (CN) domains. This paper extends it to […]
Network Slicing-Based Customization of 5G Mobile Services by Ibrahim Afolabi, Tarik Taleb, Pantelis A. Frangoudis, Miloud Bagaa, Adlen Ksentini Institute of Electrical and Electronics Engineers (IEEE) Through network slicing, different requirements of different applications and services can be met. These requirements can be in terms of latency, bandwidth, mobility support, defining service area, and security. […]
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