A Study on Advanced Persistent Threats

被引:0
|
作者
Chen, Ping [1 ]
Desmet, Lieven [1 ]
Huygens, Christophe [1 ]
机构
[1] Katholieke Univ Leuven, iMinds DistriNet, B-3001 Leuven, Belgium
关键词
advanced threat; APT; sophisticated attacks; cyber security;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A recent class of threats, known as Advanced Persistent Threats (APTs), has drawn increasing attention from researchers, primarily from the industrial security sector. APTs are cyber attacks executed by sophisticated and well-resourced adversaries targeting specific information in high-profile companies and governments, usually in a long term campaign involving different steps. To a significant extent, the academic community has neglected the specificity of these threats and as such an objective approach to the APT issue is lacking. In this paper, we present the results of a comprehensive study on APT, characterizing its distinguishing characteristics and attack model, and analyzing techniques commonly seen in APT attacks. We also enumerate some non-conventional countermeasures that can help to mitigate APTs, hereby highlighting the directions for future research.
引用
收藏
页码:63 / 72
页数:10
相关论文
共 50 条
  • [41] An Advanced Persistent Threats Awareness Technology Based on "Condensed matter"
    Wang, Yutong
    Chang, Chaowen
    Ma, Zengbang
    PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON MECHATRONICS, MATERIALS, CHEMISTRY AND COMPUTER ENGINEERING 2015 (ICMMCCE 2015), 2015, 39 : 1614 - 1619
  • [42] Expert knowledge and data analysis for detecting advanced persistent threats
    Ramon Moya, Juan
    DeCastro-Garcia, Noemi
    Fernandez-Diaz, Ramon-Angel
    Lorenzana Tamargo, Jorge
    OPEN MATHEMATICS, 2017, 15 : 1108 - 1122
  • [43] Advanced Persistent Threats Detection based on Deep Learning Approach
    Eke, Hope Nkiruka
    Petrovski, Andrei
    2023 IEEE 6TH INTERNATIONAL CONFERENCE ON INDUSTRIAL CYBER-PHYSICAL SYSTEMS, ICPS, 2023,
  • [44] Advanced Persistent Threats (APT): evolution, anatomy, attribution and countermeasures
    Sharma A.
    Gupta B.B.
    Singh A.K.
    Saraswat V.K.
    Journal of Ambient Intelligence and Humanized Computing, 2023, 14 (07) : 9355 - 9381
  • [45] Security Evaluation of the Cyber Networks Under Advanced Persistent Threats
    Yang, Lu-Xing
    Li, Pengdeng
    Yang, Xiaofan
    Tang, Yuan Yan
    IEEE ACCESS, 2017, 5 : 20111 - 20123
  • [46] Modeling advanced persistent threats using risk matrix methods
    Nina D. Ivanova
    Vitaliy G. Ivanenko
    Journal of Computer Virology and Hacking Techniques, 2023, 19 : 367 - 372
  • [47] A Cyber Kill Chain Approach for Detecting Advanced Persistent Threats
    Ahmed, Yussuf
    Asyhari, A. Taufiq
    Rahman, Md Arafatur
    CMC-COMPUTERS MATERIALS & CONTINUA, 2021, 67 (02): : 2497 - 2513
  • [48] Complementary Approaches to Instructable Agents for Advanced Persistent Threats Detection
    Huang, Juan
    An, Zhemin
    Meckl, Steven
    Tecuci, Gheorghe
    Marcu, Dorin
    STUDIES IN INFORMATICS AND CONTROL, 2020, 29 (03): : 269 - 282
  • [49] A New Realistic Benchmark for Advanced Persistent Threats in Network Traffic
    Liu, Jinxin
    Shen, Yu
    Simsek, Murat
    Kantarci, Burak
    Mouftah, Hussein T.
    Bagheri, Mehran
    Djukic, Petar
    IEEE Networking Letters, 2022, 4 (03): : 162 - 166
  • [50] Online Social Networking: A Source of Intelligence for Advanced Persistent Threats
    Molok, Nurul Nuha Abdul
    Ahmad, Atif
    Chang, Shanton
    INTERNATIONAL JOURNAL OF CYBER WARFARE AND TERRORISM, 2012, 2 (01) : 1 - 13