In this paper, we propose an automated approach for quickly detecting previously unknown worms and viruses based on two key behavioral characteristics – a ...

In this paper, we propose an automated approach for quickly detecting previously unknown worms and viruses based on two key behavioral characteristics—a common ...

We believe that our algorithm for automated worm fingerprinting can form the core of an effective network-level worm de- tection and countermeasure system ...

This paper investigate “Early bird” method that automatically detect and contain new worms on the network using precise signature. Existing Detecting Techniques.

Automated Worm Fingerprinting. Download: PDF. ``Automated Worm Fingerprinting'' by Sumeet Singh, Cristian Estan, George Varghese, and Stefan Savage.

This is the first publication in the open literature proposing and providing a detailed description of a method to detect propagation of scanning worms ...

Using real Internet traces and synthetic polymorphic worms, we evaluated the performance of several advanced machine learning algorithms, including naive Bayes, ...

In this paper, we propose an automated approach for quickly detecting previously unknown worms and viruses based on two key behavioral characteristics.

In this paper, we propose an automated approach for quickly detecting previously unknown worms and viruses based on two key behavioral characteristics ñ a ...

Automatically generates signatures by looking for longest common subsequences among sets of strings found in message exchanges. Very slow. Characterize Worm.