Cited By
View all- Han WXue JWang YZhu SKong Z(2019)Review: Build a Roadmap for Stepping Into the Field of Anti-Malware Research SmoothlyIEEE Access10.1109/ACCESS.2019.29457877(143573-143596)Online publication date: 2019
Off the beaten path: machine learning for offensive security
Pages 1 - 2
Abstract
Machine learning has been widely used for defensive security. Numerous approaches have been devised that make use of learning techniques for detecting attacks and malicious software. By contrast, only very few research has studied how machine learning can be applied for offensive security. In this talk, we will explore this research direction and show how learning methods can be used for discovering vulnerabilities in software, finding information leaks in protected data, or supporting network reconnaissance. We discuss advantages and challenges of learning for offensive security as well as identify directions for future research.
Index Terms
- Off the beaten path: machine learning for offensive security
Recommendations
A Quantitative Analysis of Offensive Cyber Operation (OCO) Automation Tools
ARES '22: Proceedings of the 17th International Conference on Availability, Reliability and SecurityThe ecosystem for automated offensive security tools has grown in recent years. As more tools automate offensive security techniques via Artificial Intelligence (AI) and Machine Learning (ML), it may result in vulnerabilities due to adversarial attacks. ...
Are mobile botnets a possible threat? The case of SlowBot Net
In virtue of the large-scale diffusion of smartphones and tablets, a possible exploitation of such devices to execute cyber-attacks should be evaluated. This scenario is rarely considered by cyber-criminals, since mobile devices commonly represent a ...
An automated approach to Web Offensive Security
AbstractWeb Application Penetration testing is a popular approach that aims at discovering vulnerabilities by emulating real attacks. Experts often use a variety of publicly available attack tools, define attack methodologies and orchestrate ...
Comments
Information & Contributors
Information
Published In
November 2013
116 pages
ISBN:9781450324885
DOI:10.1145/2517312
- General Chair:
- Ahmad-Reza Sadeghi,
- Program Chairs:
- Blaine Nelson,
- Christos Dimitrakakis,
- Elaine Shi
Copyright © 2013 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 04 November 2013
Check for updates
Author Tags
Qualifiers
- Keynote
Conference
CCS'13
Sponsor:
CCS'13: 2013 ACM SIGSAC Conference on Computer and Communications Security
November 4, 2013
Berlin, Germany
Acceptance Rates
AISec '13 Paper Acceptance Rate 10 of 17 submissions, 59%;
Overall Acceptance Rate 94 of 231 submissions, 41%
Upcoming Conference
CCS '25
- Sponsor:
- sigsac
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- View Citations1Total Citations
- 507Total Downloads
- Downloads (Last 12 months)2
- Downloads (Last 6 weeks)1
Reflects downloads up to 27 Jan 2025
Other Metrics
Citations
Cited By
View all- Han WXue JWang YZhu SKong Z(2019)Review: Build a Roadmap for Stepping Into the Field of Anti-Malware Research SmoothlyIEEE Access10.1109/ACCESS.2019.29457877(143573-143596)Online publication date: 2019
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in