Many vulnerabilities are operating system specific. Information about the OS of all hosts in a network represents a valuable asset for network administrators. While OS detection in small networks is an easy task, expanding the same process on a large scale becomes a challenge. The weak performance, high speed traffic and large amount of hosts for OS detection are issues to overcome. In this paper we propose a flow based framework for large scale OS detection. Furthermore, we describe the framework implementation into a flow probe, provide performance comparison and share remarks on deployment in a real world network
This paper explores the effectiveness of three network tools for analyzing network traffic and highl...
This paper explores the effectiveness of three network tools for analyzing network traffic and highl...
In the new global economy, cyber-attacks have become a central issue. The detection, mitigation and ...
Operating system fingerprinting methods are well-known in the domain of static networks and managed ...
For the evaluation of OS fingerprinting methods, we need a dataset with the following requirements: ...
Identification of a communicating device operating system is a fundamental part of network situation...
Operating system identification of communicating devices plays an important part in network protecti...
Nowadays, computer networks have become incredibly complex due to the evolution of online services a...
The Internet has become ubiquitous in our lives today. With its rapid adoption and widespread growth...
In this chapter, we present flow-based network traffic monitoring of large scale networks. Continuou...
Asset identification plays a vital role in situational awareness building. However, the current tren...
The dataset consists of data from three different sources; flow records collected from the universit...
Securing and managing large, complex enterprise network infrastructure requires capturing and analyz...
Securing and managing large, complex enterprise network infrastructure requires capturing and analyz...
AbstractThe primary intent of this paper is detect malicious traffic at the network level. To this e...
This paper explores the effectiveness of three network tools for analyzing network traffic and highl...
This paper explores the effectiveness of three network tools for analyzing network traffic and highl...
In the new global economy, cyber-attacks have become a central issue. The detection, mitigation and ...
Operating system fingerprinting methods are well-known in the domain of static networks and managed ...
For the evaluation of OS fingerprinting methods, we need a dataset with the following requirements: ...
Identification of a communicating device operating system is a fundamental part of network situation...
Operating system identification of communicating devices plays an important part in network protecti...
Nowadays, computer networks have become incredibly complex due to the evolution of online services a...
The Internet has become ubiquitous in our lives today. With its rapid adoption and widespread growth...
In this chapter, we present flow-based network traffic monitoring of large scale networks. Continuou...
Asset identification plays a vital role in situational awareness building. However, the current tren...
The dataset consists of data from three different sources; flow records collected from the universit...
Securing and managing large, complex enterprise network infrastructure requires capturing and analyz...
Securing and managing large, complex enterprise network infrastructure requires capturing and analyz...
AbstractThe primary intent of this paper is detect malicious traffic at the network level. To this e...
This paper explores the effectiveness of three network tools for analyzing network traffic and highl...
This paper explores the effectiveness of three network tools for analyzing network traffic and highl...
In the new global economy, cyber-attacks have become a central issue. The detection, mitigation and ...