What is Snort?
Snort® is an open source network intrusion prevention and detection system utilizing a rule-driven language, which combines the benefits of signature, protocol and anomaly based inspection methods. With millions of downloads to date, Snort is the most widely deployed intrusion detection and prevention technology worldwide and has become the de facto standard for the industry.
Visualization of graph data is incredibly challenging, particularly when it comes to extremely large, scale-free graphs and social networks. A few simple searches on the Web and you will find some mesmerizing and very cool images. Perhaps the most cited...
In the previous blog I explained the theory behind and how a Convolutional Neural Network works for a classification task. Here I will go a step further and touch on techniques used for object…
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Comment: 9 pages, 7 figures. Version 2 includes minor changes to text and
references and some improved figures.