Re-identification is a major privacy threat to public datasets containing individual records. Many privacy protection algorithms rely on generalization and suppression of "qu...
The proliferation of malware has presented a serious threat to the security of computer systems. Traditional signature-based antivirus systems fail to detect polymorphic and new, ...
Data mining tasks such as supervised classification can often benefit from a large training dataset. However, in many application domains, privacy concerns can hinder the construc...
We present and empirically analyze a machine-learning approach for detecting intrusions on individual computers. Our Winnowbased algorithm continually monitors user and system beh...
- Security protocols, such as IPSec and SSL, are being increasingly deployed in the context of networked embedded systems. The resource-constrained nature of embedded systems and, ...
Nachiketh R. Potlapally, Srivaths Ravi, Anand Ragh...