ITM Web Conf.
Volume 12, 2017The 4th Annual International Conference on Information Technology and Applications (ITA 2017)
|Number of page(s)||5|
|Section||Session 3: Computer|
|Published online||05 September 2017|
Construction of Index System Based on Advanced Persistent Threat
School of Computer National University of Defense Technology, Changsha, China
* e-mail: firstname.lastname@example.org
With the proliferation of advanced persistent threat (APT), APT attack effect evaluation is playing an increasingly important role in cyberspace. As one of the hot issues of network security, the evaluation to its attack effect can quantify the harm caused by APT. Then according to the evaluation results, we can derive specific measures to the network attack. At present, a lot of work has done in the network attack effect evaluation index system. However, a significant barrier to the development of APT attack effect evaluation is that the existing index system is either from the point of view of the network security situation, or for a single attack weapons to customize. In this paper, an evaluation index system is proposed through analysing the features of APT. Through this index system, we can not only quantify APT attack effect, but also visually observe the APT ability from various angles. Then, we use the analytic hierarchy process (AHP) to model the evaluation process and calculate the weight of each indicator. Finally, the Ukrainian Power Outages is taken as an example to validate the proposed index system. The experimental results verify the effectiveness of the index system.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.