arrow
返回

Special Issue on Advanced Persistent Threat

delete2018-02-01
delete30
PRE
AI
J
Jiageng Chen *
C
Chunhua Su
K
Kuo‐Hui Yeh
M
Moti Yung
DOI:10.1016/j.future.2017.11.005delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
Recently, a new type of attack called Advanced Persistent Threat (APT) headline the news frequently. Different from other type of attacks, APT often has specific targets given sufficient fund support, and the attack can exist for a long period of time without being discovered. No single current protection approach alone can efficiently defeat APT, and thus research effort is required to further investigate this area. In this paper, we discuss the concepts of APT as well as the newest trends on how to efficiently detect and neutralize these hidden threats. A brief overview of eight accepted papers in our Special Issue on Advanced Persistent Threat is presented. Finally, we conclude this paper by highlighting the key points and summarizing the paper. (C) 2017 Published by Elsevier B.V.
Keyword:
APT
Zero-day vulnerability
Data driven security
Behavior based detection
Encrypted traffic
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

F
Future Generation Computer Systems-The International Journal of eScience
IF:
6.1
论文数:
6.8K
被引数:
2.3W

机构

C
Columbia University
学者数:
7.1W
论文数: 6.4W
被引数: 263
N
National Dong Hwa University
学者数:
2.8K
论文数: 2.5K
被引数: 18
C
Central China Normal University
学者数:
1.1W
论文数: 8.1K
被引数: 1.1W
U
University of Aizu
学者数:
768
论文数: 1.0K
被引数: 302
学者 查看更多机构
引用论文

引用论文

Analyzing Android Encrypted Network Traffic to Identify User Actions
err2016-01-01
err195
PREAI
errConti, Mauro; Mancini, Luigi Vincenzo; Spolaor, Riccardo; Verde, Nino Vincenzo
err分享
err收藏
没有更多内容