Network intrusion detection systems typically detect worms by examining packet or flow logs for known signatures. Not only does this approach mean worms cannot be detected until the signatures are created, but that variants of known worms will remain undetected since they will have different signatures. The intuitive solution is to write more generic signatures. This solution, however, would increase the false alarm rate and is therefore practically not feasible. This paper reports on the feasibility of using a machine learning technique to detect variants of known worms in real-time. Support vector machines (SVMs) are a machine learning technique known to perform well at various pattern recognition tasks, such as text categorization and ha...
Computer worms are a type of malicious malware that prey on networked machines. A number of differe...
Internet worms pose a serious threat to computer security. Traditional approaches using signatures t...
Internet worms pose a serious threat to computer security. Traditional approaches using signatures t...
<p>Network intrusion detection systems typically detect worms by examining packet or flow logs...
Due to their rapid spread, computer worms perform harmful tasks in networks, posing a security risk;...
Worms are malicious programs that spread over the Internet without human intervention. Since worms g...
Worms are malicious programs that spread over the Internet without human intervention. Since worms g...
Worms are malicious programs that spread over the Internet without human intervention. Since worms g...
As Internet worms become ever faster and more sophisticated, it is important to be able to extract w...
Abstract — As Internet worms become ever faster and more sophisticated, it is important to be able t...
Since the days of the Morris worm, the spread of malicious code has been the most imminent menace to...
Abstract: We present a worm detection system that leverages the reliability of IP-Flow and the effec...
Machine learning techniques are widely used in many fields. One of the applications of machine learn...
Active worms has been major security threat to the Internet. This is due to the ability of active wo...
The scope of this research is computer worm detection. Computer worm has been defined as a process t...
Computer worms are a type of malicious malware that prey on networked machines. A number of differe...
Internet worms pose a serious threat to computer security. Traditional approaches using signatures t...
Internet worms pose a serious threat to computer security. Traditional approaches using signatures t...
<p>Network intrusion detection systems typically detect worms by examining packet or flow logs...
Due to their rapid spread, computer worms perform harmful tasks in networks, posing a security risk;...
Worms are malicious programs that spread over the Internet without human intervention. Since worms g...
Worms are malicious programs that spread over the Internet without human intervention. Since worms g...
Worms are malicious programs that spread over the Internet without human intervention. Since worms g...
As Internet worms become ever faster and more sophisticated, it is important to be able to extract w...
Abstract — As Internet worms become ever faster and more sophisticated, it is important to be able t...
Since the days of the Morris worm, the spread of malicious code has been the most imminent menace to...
Abstract: We present a worm detection system that leverages the reliability of IP-Flow and the effec...
Machine learning techniques are widely used in many fields. One of the applications of machine learn...
Active worms has been major security threat to the Internet. This is due to the ability of active wo...
The scope of this research is computer worm detection. Computer worm has been defined as a process t...
Computer worms are a type of malicious malware that prey on networked machines. A number of differe...
Internet worms pose a serious threat to computer security. Traditional approaches using signatures t...
Internet worms pose a serious threat to computer security. Traditional approaches using signatures t...