Abstract: An intrusion detection system (IDS) comprises a network processor (NP) coupled to a memory unit for storing programs and data. The NP is also coupled to one or more parallel pattern detection engines (PPDE) which provide high speed parallel detection of patterns in an input data stream. Each PPDE comprises many processing units (PUs) each designed to store intrusion signatures as a sequence of data with selected operation codes. The PUs have configuration registers for selecting modes of pattern recognition. Each PU compares a byte at each clock cycle. If a sequence of bytes from the input pattern match a stored pattern, the identification of the PU detecting the pattern is outputted with any applicable comparison data. By storing intrusion signatures in many parallel PUs, the IDS can process network data at the NP processing speed. PUs may be cascaded to increase intrusion coverage or to detect long intrusion signatures.

Abstract: An intrusion detection system (IDS) comprises a network processor (NP) coupled to a memory unit for storing programs and data. The NP is also coupled to one or more parallel pattern detection engines (PPDE) which provide high speed parallel detection of patterns in an input data stream. Each PPDE comprises many processing units (PUs) each designed to store intrusion signatures as a sequence of data with selected operation codes. The PUs have configuration registers for selecting modes of pattern recognition. Each PU compares a byte at each clock cycle. If a sequence of bytes from the input pattern match a stored pattern, the identification of the PU detecting the pattern is outputted with any applicable comparison data. By storing intrusion signatures in many parallel PUs, the IDS can process network data at the NP processing speed. PUs may be cascaded to increase intrusion coverage or to detect long intrusion signatures.

Abstract: An intrusion detection system (IDS) comprises a network processor (NP) coupled to a memory unit for storing programs and data. The NP is also coupled to one or more parallel pattern detection engines (PPDE) which provide high speed parallel detection of patterns in an input data stream. Each PPDE comprises many processing units (PUs) each designed to store intrusion signatures as a sequence of data with selected operation codes. The PUs have configuration registers for selecting modes of pattern recognition. Each PU compares a byte at each clock cycle. If a sequence of bytes from the input pattern match a stored pattern, the identification of the PU detecting the pattern is outputted with any applicable comparison data. By storing intrusion signatures in many parallel PUs, the IDS can process network data at the NP processing speed. PUs may be cascaded to increase intrusion coverage or to detect long intrusion signatures.

Abstract: An intrusion detection system (IDS) comprises a network processor (NP) coupled to a memory unit for storing programs and data. The NP is also coupled to one or more parallel pattern detection engines (PPDE) which provide high speed parallel detection of patterns in an input data stream. Each PPDE comprises many processing units (PUs) each designed to store intrusion signatures as a sequence of data with selected operation codes. The PUs have configuration registers for selecting modes of pattern recognition. Each PU compares a byte at each clock cycle. If a sequence of bytes from the input pattern match a stored pattern, the identification of the PU detecting the pattern is outputted with any applicable comparison data. By storing intrusion signatures in many parallel PUs, the IDS can process network data at the NP processing speed. PUs may be cascaded to increase intrusion coverage or to detect long intrusion signatures.

Abstract: A data server for use in caching streaming media or other large data objects at locations remote from a central server. The data server monitors data requests by one or more client computers to determine if a streaming media data object satisfies the requirements for storage in the data server. The data server utilizes an intelligent caching scheme to maximize the efficiency of data storage in the data server. The data server of the example embodiment is modular so as to accept commercially available streaming media data server components for individual streaming media formats, such as Real Networks, QuickTime or MPEG.