Rigorously characterizing the statistical properties of cyber attacks is an important problem.
In this paper, we propose the first statistical framework for rigorously analyzing honeypot …

Botnets pose a significant threat to network-based applications and communications; it is
believed that 16-25% of the computers connected to the Internet are members of a botnet …

Botnets are large networks of bots (compromised machines) that are under the control of a
small number of bot masters. They pose a significant threat to Internet's communications and …

The detection of anomalies in network traffic, such as low volume attacks and abnormalities,
has become a pressing problem in today's large volume of Internet traffic. To this end …

Within the field of software repository mining, it is common practice to extract change-events
from source control systems and then abstract these events to allow for different analyses …

Network traffic intrusions increase day by day in computer systems. This poses major
security threats to computer networks. In this paper, we present an effective approach for …

The detection of anomalous behavior such as low volume attacks and abnormalities in
today's large volume of Internet traffic has become a challenging problem in the network …

Network traffic analysis through statistical signal processing methods Network traffic analysis
through statistical signal processing methods Abstract In this thesis, we address three major …

Botnets are large networks of bots (compromised machines) that are under the control of a
small number of bot masters. They pose a significant threat to Internet's communications and …