Prof. Goldenstein has a paper accepted at JISA

Kleber Stroeh, Prof. Edmundo Madeira and Prof. Siome Goldenstein had a paper accepted at the Journal of Internet Services and Applications: An approach to the correlation of security events based on machine learning techniques. Here’s the abstract:

This work presents an approach on how to collect and normalize, as well as how to fuse and classify, security alerts. This approach involves collecting alerts from different sources and normalizes them according to standardized structures — IDMEF (Intrusion Detection Message Exchange Format). The normalized alerts are grouped into meta-alerts (fusion, or clustering), which are later classified using machine learning techniques into attacks or false alarms.

The fulltext is already available at the publisher’s site: doi:10.1186/1869-0238-4-7.

Advertisements

About eduardovalle

Professor at FEEC/UNICAMP, Brazil. Researcher on Machine Learning/Computer Vision, with emphasis on Health & Education applications.
This entry was posted in publications and tagged , , , , , , . Bookmark the permalink.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s