Adversarial Learning for Cross Layer Security
Abstract
References
Index Terms
- Adversarial Learning for Cross Layer Security
Recommendations
Adversarial Machine Learning Attacks and Defense Methods in the Cyber Security Domain
In recent years, machine learning algorithms, and more specifically deep learning algorithms, have been widely used in many fields, including cyber security. However, machine learning systems are vulnerable to adversarial attacks, and this limits the ...
Provably Secure Signcryption Scheme Based on q-Diffie-Hellman Problem for Wireless Security
CYBERC '13: Proceedings of the 2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge DiscoveryConfidentiality and authenticity are two fundamental security requirement of Public key Cryptography. These are achieved by encryption scheme and digital signatures respectively. Wireless sensor networks are commonly used for critical security tasks ...
Defending against adversarial machine learning attacks using hierarchical learning: A case study on network traffic attack classification
AbstractMachine learning is key for automated detection of malicious network activity to ensure that computer networks and organizations are protected against cyber security attacks. Recently, there has been growing interest in the domain of ...
Comments
Information & Contributors
Information
Published In
![cover image ACM Conferences](/cms/asset/c080ed0f-b271-4c4d-98d2-dd9a8bef3fd9/3468218.cover.jpg)
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Short-paper
- Research
- Refereed limited
Conference
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 113Total Downloads
- Downloads (Last 12 months)7
- Downloads (Last 6 weeks)0
Other Metrics
Citations
Cited By
View allView Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in