@inproceedings{dc95349e1c7b40c296bf51c9611a5813,
title = "Early warning systems for cyber defence",
abstract = "Cybercriminals ramp up their efforts with sophisticated techniques while defenders gradually update their typical security measures. Attackers often have a long-term interest in their targets. Due to a number of factors such as scale, architecture and nonproductive traffic however it makes difficult to detect them using typical intrusion detection techniques. Cyber early warning systems (CEWS) aim at alerting such attempts in their nascent stages using preliminary indicators. Design and implementation of such systems involves numerous research challenges such as generic set of indicators, intelligence gathering, uncertainty reasoning and information fusion. This paper discusses such challenges and presents the reader with compelling motivation. A carefully deployed empirical analysis using a real world attack scenario and a real network traffic capture is also presented.",
keywords = "Bayesian inference, Cyber defence, Cyber warfare, Early warning systems, Future internet",
author = "Harsha Kalutarage and Siraj Shaikh and Lee, {Bu Sung} and Chonho Lee and Kiat, {Yeo Chai}",
year = "2016",
month = may,
day = "1",
doi = "10.1007/978-3-319-39028-4_3",
language = "English",
isbn = "9783319390277",
volume = "9591",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "29--42",
booktitle = "iNetSec 2015: Open Problems in Network Security",
note = "IFIP WG 11.4 International Workshop on Open Problems in Network Security, iNetSec 2015 ; Conference date: 29-10-2015 Through 29-10-2015",
}