Defending against advanced persistent threat: a risk management perspective

Zhong, Xiang, Yang, Luxing, Yang, Xiaofan, Xiong, Qingyu, Wen, Junhao and Tang, Yuan Yan 2018, Defending against advanced persistent threat: a risk management perspective, in SciSec 2018 : Proceedings of the 1st International Conference on Science of Cyber Security, Springer, Cham, Switzerland, pp. 207-215, doi: 10.1007/978-3-030-03026-1_16.

Attached Files
Name Description MIMEType Size Downloads

Title Defending against advanced persistent threat: a risk management perspective
Author(s) Zhong, Xiang
Yang, LuxingORCID iD for Yang, Luxing orcid.org/0000-0002-9229-5787
Yang, Xiaofan
Xiong, Qingyu
Wen, Junhao
Tang, Yuan Yan
Conference name Science of Cyber Security. Conference (1st : 2018 : Beijing, China)
Conference location Beijing, China
Conference dates 2018/08/12 - 2018/08/14
Title of proceedings SciSec 2018 : Proceedings of the 1st International Conference on Science of Cyber Security
Editor(s) Liu, Feng
Xu, Shouhuai
Yung, Moti
Publication date 2018
Series Science of Cyber Security Conference
Start page 207
End page 215
Total pages 9
Publisher Springer
Place of publication Cham, Switzerland
Keyword(s) Advanced persistent threat
APT response problem
Risk management
State evolution model
Risk assessment
Game theory
ISBN 9783030030254
ISSN 0302-9743
1611-3349
Language eng
DOI 10.1007/978-3-030-03026-1_16
Field of Research 08 Information And Computing Sciences
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2018, Springer Nature Switzerland AG
Persistent URL http://hdl.handle.net/10536/DRO/DU:30120118

Document type: Conference Paper
Collection: School of Information Technology
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 11 Abstract Views, 5 File Downloads  -  Detailed Statistics
Created: Thu, 21 Mar 2019, 14:51:46 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.