Intrusion detection systems such as Snort are capable of detecting numerous of security threats in network traffic. The most computation-intensive part of these systems is searching thousands of patterns that must be performed on gigabits speeds. But software based IDS solution can not handle this task effectively and they are not able to archive throughput higher than 300 Mbps. This paper presents the system architecture of the Traffic Scanner which is hardware accelerated IDS based on Field-Programmable Gate Arrays (FPGAs). The designed system supports rules described in Snort-compatible format and can be configured using a web interface. System uses an architecture based on non-deterministic finite automaton for fast pattern matching. Us...
Network speeds and bandwidths have improved over time. However, the frequency of network attacks and...
This dissertation deals with essential issues pertaining to high performance processing for network ...
Abstract- Modern network systems are plagued with unknown attacks every time. To detect these attack...
Computer networks are already ubiquitous in people’s lives and work and network security is becoming...
The fast extension of inexpensive computer networks has increased the problem of unauthorized access...
Software-based Network Intrusion Detection Systems (NIDS) often fail to keep up with high-speed netw...
The fast extension of inexpensive computer networks has increased the problem of unauthorized access...
Malicious attacks and threats over network can be identified and prevented by Intrusion detection sy...
Abstract — Capturing is the first step in intrusion detection system (IDS). Having wire speed, omitt...
This paper presents and evaluates a strategy for integrating the Snort network intrusion detection s...
Summarization: Intrusion Detection Systems such as Snort scan incoming packets for evidence of secur...
In this paper, we introduce a novel architecture for a hardware based network intrusion detection sy...
A widely used approach to avoid network intrusion is SNORT, an open source Network Intrusion Detec-t...
Systems (IDSs) monitor network traffic for security threats by scanning packet payloads for attack s...
Increases in network traffic volume and transmission speeds have given rise to the need for extremel...
Network speeds and bandwidths have improved over time. However, the frequency of network attacks and...
This dissertation deals with essential issues pertaining to high performance processing for network ...
Abstract- Modern network systems are plagued with unknown attacks every time. To detect these attack...
Computer networks are already ubiquitous in people’s lives and work and network security is becoming...
The fast extension of inexpensive computer networks has increased the problem of unauthorized access...
Software-based Network Intrusion Detection Systems (NIDS) often fail to keep up with high-speed netw...
The fast extension of inexpensive computer networks has increased the problem of unauthorized access...
Malicious attacks and threats over network can be identified and prevented by Intrusion detection sy...
Abstract — Capturing is the first step in intrusion detection system (IDS). Having wire speed, omitt...
This paper presents and evaluates a strategy for integrating the Snort network intrusion detection s...
Summarization: Intrusion Detection Systems such as Snort scan incoming packets for evidence of secur...
In this paper, we introduce a novel architecture for a hardware based network intrusion detection sy...
A widely used approach to avoid network intrusion is SNORT, an open source Network Intrusion Detec-t...
Systems (IDSs) monitor network traffic for security threats by scanning packet payloads for attack s...
Increases in network traffic volume and transmission speeds have given rise to the need for extremel...
Network speeds and bandwidths have improved over time. However, the frequency of network attacks and...
This dissertation deals with essential issues pertaining to high performance processing for network ...
Abstract- Modern network systems are plagued with unknown attacks every time. To detect these attack...