Empirical Evaluation of the A3 Environment: Evaluating Defenses Against Zero-Day Attacks

被引：3

作者：

Clark, Shane S. ^{[1
]}

Paulos, Aaron ^{[1
]}

Benyo, Brett ^{[1
]}

Pal, Partha ^{[1
]}

Schantz, Richard ^{[1
]}

机构：

[1] BBN Technol, Cambridge, MA 02138 USA

来源：

PROCEEDINGS 10TH INTERNATIONAL CONFERENCE ON AVAILABILITY, RELIABILITY AND SECURITY ARES 2015 | 2015年

关键词：

Adaptive Security; Zero-day Attacks; Novel Attacks; Record & Replay; Survivability;

D O I：

10.1109/ARES.2015.89

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A3 is an execution management environment that aims to make network-facing applications and services resilient against zero-day attacks. A3 recently underwent two adversarial evaluations of its defensive capabilities. In one, A3 defended an App Store used in a Capture the Flag (CTF) tournament, and in the other, a tactically relevant network service in a red team exercise. This paper describes the A3 defensive technologies evaluated, the evaluation results, and the broader lessons learned about evaluations for technologies that seek to protect critical systems from zero-day attacks.

引用

页码：80 / 89

页数：10

共 50 条

[1] Modeling Network Diversity for Evaluating the Robustness of Networks against Zero-Day Attacks
Wang, Lingyu
Zhang, Mengyuan
Jajodia, Sushil
Singhal, Anoop
Albanese, Massimiliano
COMPUTER SECURITY - ESORICS 2014, PT II, 2014, 8713 : 494 - 511
[2] Defence against the dark art of zero-day attacks
Madou M.
Network Security, 2022, 2022 (11)
[3] Network Diversity: A Security Metric for Evaluating the Resilience of Networks Against Zero-Day Attacks
Zhang, Mengyuan
Wang, Lingyu
Jajodia, Sushil
Singhal, Anoop
Albanese, Massimiliano
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2016, 11 (05) : 1071 - 1086
[4] Detection of Zero-day Attacks on IoT
Reardon, Shay
Hssayeni, Murtadha D.
Mahgoub, Imadeldin
2024 INTERNATIONAL CONFERENCE ON SMART APPLICATIONS, COMMUNICATIONS AND NETWORKING, SMARTNETS-2024, 2024,
[5] Comparative Evaluation of AI-Based Techniques for Zero-Day Attacks Detection
Ali, Shamshair
Rehman, Saif Ur
Imran, Azhar
Adeem, Ghazif
Iqbal, Zafar
Kim, Ki-Il
ELECTRONICS, 2022, 11 (23)
[6] Detecting and Analyzing Zero-day Attacks using Honeypots
Musca, Constantin
Mirica, Emma
Deaconescu, Razvan
19TH INTERNATIONAL CONFERENCE ON CONTROL SYSTEMS AND COMPUTER SCIENCE (CSCS 2013), 2013, : 543 - 548
[7] Patching zero-day vulnerabilities: an empirical analysis
Roumani, Yaman
JOURNAL OF CYBERSECURITY, 2021, 7 (01):
[8] Protecting Embedded Systems from Zero-Day Attacks
Taylor, Stephen
NAECON 2018 - IEEE NATIONAL AEROSPACE AND ELECTRONICS CONFERENCE, 2018, : 165 - 168
[9] A Zero-Shot Learning-Based Detection Model Against Zero-Day Attacks in IoT
Gao, Xueqin
Chen, Kai
Zhao, Yufei
Zhang, Peng
Han, Longxi
Zhang, Daojuan
2024 9TH INTERNATIONAL CONFERENCE ON ELECTRONIC TECHNOLOGY AND INFORMATION SCIENCE, ICETIS 2024, 2024, : 309 - 314
[10] Network Attack Surface: Lifting the Concept of Attack Surface to the Network Level for Evaluating Networks' Resilience Against Zero-Day Attacks
Zhang, Mengyuan
Wang, Lingyu
Jajodia, Sushil
Singhal, Anoop
IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, 2021, 18 (01) : 310 - 324

← 1 2 3 4 5 →