Incidents Information Sharing Platform for Distributed Attack Detection

Incidents Information Sharing Platform for Distributed Attack Detection

Intrusion detection plays a critical role in cyber-security domain since malicious attacks cause irreparable damages to cyber-systems. In this work, we propose the I2SP prototype, which is a novel Information Sharing Platform, able to gather, pre-process, model, and distribute network-traffic inform...

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Bibliographic Details
Main Authors: Konstantina Fotiadou, Terpsichori-Helen Velivassaki, Artemis Voulkidis, Konstantinos Railis, Panagiotis Trakadas, Theodore Zahariadis
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Open Journal of the Communications Society
Subjects:
Malware information sharing platform
network intrusion detection, anomaly detection
deep feature learning
convolutional neural networks
long-short memory neural networks
stacked-sparse autoencoders
Online Access:https://ieeexplore.ieee.org/document/9079479/

Internet

https://ieeexplore.ieee.org/document/9079479/

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