Harsh Kapoor - Boxborough MA, US Moisey Akerman - Upton MA, US Stephen D. Justus - Portland OR, US John C. Ferguson - Harvard MA, US Yevgeny Korsunsky - Bedford MA, US Paul S. Gallo - Newton MA, US Charles Ching Lee - Ashland MA, US Timothy M. Martin - Westford MA, US Chunsheng Fu - Amesbury MA, US Weidong Xu - Westford MA, US
Assignee:
Crossbeam Systems, Inc. - Boxboro MA
International Classification:
G06N 5/00
US Classification:
706 20, 706 45
Abstract:
A flow processing facility, which uses a set of artificial neurons for pattern recognition, such as a self-organizing map, in order to provide security and protection to a computer or computer system supports unified threat management based at least in part on patterns relevant to a variety of types of threats that relate to computer systems, including computer networks. Flow processing for switching, security, and other network applications, including a facility that processes a data flow to address patterns relevant to a variety of conditions are directed at internal network security, virtualization, and web connection security. A flow processing facility for inspecting payloads of network traffic packets detects security threats and intrusions across accessible layers of the IP-stack by applying content matching and behavioral anomaly detection techniques based on regular expression matching and self-organizing maps. Exposing threats and intrusions within packet payload at or near real-time rates enhances network security from both external and internal sources while ensuring security policy is rigorously applied to data and system resources. Intrusion Detection and Protection (IDP) is provided by a flow processing facility that processes a data flow to address patterns relevant to a variety of types of network and data integrity threats that relate to computer systems, including computer networks.
Harsh Kapoor - Boxborough MA, US Moisey Akerman - Upton MA, US Stephen D. Justus - Portland OR, US JC Ferguson - Harvard MA, US Yevgeny Korsunsky - Bedford MA, US Paul S. Gallo - Newton MA, US Charles Ching Lee - Ashland MA, US Timothy M. Martin - Westford MA, US Chunsheng Fu - Amesbury MA, US Weidong Xu - Westford MA, US
Assignee:
Crossbeam Systems, Inc. - Boxborough MA
International Classification:
G06E 1/00
US Classification:
706 20, 726 11, 726 22
Abstract:
Methods and systems for flow processing and switching, security, and other network applications, including a facility that processes a data flow to address patterns relevant to a variety of conditions are directed at internal network security, virtualization, and web connection security are described. Such flow processing facilities may be used for inspecting network traffic packet payloads to detect security threats and intrusions across accessible layers of the network IP stack by applying content matching and behavioral anomaly detection techniques based on regular expression matching and self-organizing maps. Exposing threats and intrusions within packet payload at or near real-time rates enhances network security from both external and internal sources while ensuring security policy is rigorously applied to data and system resources.
Harsh Kapoor - Boxborough MA, US Moisey Akerman - Upton MA, US Stephen D. Justus - Portland OR, US John C. Ferguson - Harvard MA, US Yevgeny Korsunsky - Waban MA, US Paul S. Gallo - Newton MA, US Charles Ching Lee - Ashland MA, US Timothy M. Martin - Westford MA, US Chunsheng Fu - Amesbury MA, US Weidong Xu - Westford MA, US
Assignee:
Crossbeam Systems, Inc. - Boxborough MA
International Classification:
G06F 17/00
US Classification:
706 45, 726 11, 726 22
Abstract:
A flow processing facility, which uses a set of artificial neurons for pattern recognition, such as a self-organizing map, in order to provide security and protection to a computer or computer system supports unified threat management based at least in part on patterns relevant to a variety of types of threats that relate to computer systems, including computer networks. Flow processing for switching, security, and other network applications, including a facility that processes a data flow to address patterns relevant to a variety of conditions are directed at internal network security, virtualization, and web connection security. A flow processing facility for inspecting payloads of network traffic packets detects security threats and intrusions across accessible layers of the IP-stack by applying content matching and behavioral anomaly detection techniques based on regular expression matching and self-organizing maps. Exposing threats and intrusions within packet payload at or near real-time rates enhances network security from both external and internal sources while ensuring security policy is rigorously applied to data and system resources. Intrusion Detection and Protection (IDP) is provided by a flow processing facility that processes a data flow to address patterns relevant to a variety of types of network and data integrity threats that relate to computer systems, including computer networks.
Canonical Scheduling For Heterogeneous Content Delivery
Craig Frink - Chelmsford MA, US Santosh Krishnan - Windham NH, US Weidong Xu - Westford MA, US Qin-Fan Zhu - Acton MA, US
Assignee:
Verivue, Inc. - Westford MA
International Classification:
H04J 3/24
US Classification:
370474, 370392, 370412, 370465, 386211, 725 90
Abstract:
Described are computer-based methods and apparatuses, including computer program products, for canonical scheduling for heterogeneous content delivery. A content stream of bits is preprocessed by dividing the content stream of bits into data packets and assigning a timestamp to each data packet. The preprocessed content stream of bits is transmitted upon request from a receiver. A second timestamp based on the assigned timestamp from at least a portion of the respective data packets is established. The data packets are scheduled for transmission based on the second timestamp. The data packets are transmitted based on the schedule.
Harsh Kapoor - Boxborough MA, US Moisey Akerman - Upton MA, US Stephen D. Justus - Portland OR, US JC Ferguson - Harvard MA, US Yevgeny Korsunsky - Bedford MA, US Paul S. Gallo - Newton MA, US Charles Ching Lee - Ashland MA, US Timothy M. Martin - Westford MA, US Chunsheng Fu - Amesbury MA, US Weidong Xu - Westford MA, US
Assignee:
Crossbeam Systems, Inc. - Boxborough MA
International Classification:
H04L 29/06
US Classification:
726 23, 709224, 726 22
Abstract:
A flow processing facility, which uses a set of artificial neurons for pattern recognition, such as a self-organizing map, in order to provide security and protection to a computer or computer system supports unified threat management based at least in part on patterns relevant to a variety of types of threats that relate to computer systems, including computer networks. Flow processing for switching, security, and other network applications, including a facility that processes a data flow to address patterns relevant to a variety of conditions are directed at internal network security, virtualization, and web connection security. A flow processing facility for inspecting payloads of network traffic packets detects security threats and intrusions across accessible layers of the IP-stack by applying content matching and behavioral anomaly detection techniques based on regular expression matching and self-organizing maps. Exposing threats and intrusions within packet payload at or near real-time rates enhances network security from both external and internal sources while ensuring security policy is rigorously applied to data and system resources. Intrusion Detection and Protection (IDP) is provided by a flow processing facility that processes a data flow to address patterns relevant to a variety of types of network and data integrity threats that relate to computer systems, including computer networks.
Daniel Pond - Andover MA, US Thomas V. Radogna - Westboro MA, US Weidong Xu - Westford MA, US Qin-Fan Zhu - Acton MA, US Steve Branam - Ayer MA, US Craig Frink - Chelmsford MA, US Michael G. Hluchyj - Wellesley MA, US Santosh Krishnan - Windham NH, US
Assignee:
Akamai Technologies, Inc. - Cambridge MA
International Classification:
H04N 7/173
US Classification:
725 93, 725 91, 725 92, 725 97
Abstract:
Described are computer-based methods and apparatuses, including computer program products, for input queued content switching using a playlist. A retrieval sequence is generated using a plurality of content requests based on content location information. A first portion of content is requested to be queued at a first content source, and a second portion of content is requested to be queued at a second content source. A content stream of the first portion and the second portion of content is generated using the retrieval sequence. The generating includes selecting the first portion of content from a queue associated with the first content source and transferring the first portion of content to an output buffer, then terminating transfer of the first portion of content and initiating transfer of the second portion of content from a queue associated with the second content source. The portion of content in the output buffer is transmitted to a client device.
Harsh Kapoor - Boxborough MA, US Moisey Akerman - Upton MA, US Stephen Justus - Lexington MA, US JC Ferguson - Harvard MA, US Yevgeny Korsunsky - Bedford MA, US Paul Gallo - Newton MA, US Charles Lee - Ashland MA, US Timothy Martin - Westford MA, US Chunsheng Fu - Amesbury MA, US Weidong Xu - Westford MA, US
International Classification:
G06F 12/14
US Classification:
726023000
Abstract:
A flow processing facility, which uses a set of artificial neurons for pattern recognition, such as a self-organizing map, in order to provide security and protection to a computer or computer system supports unified threat management based at least in part on patterns relevant to a variety of types of threats that relate to computer systems, including computer networks. Flow processing for switching, security, and other network applications, including a facility that processes a data flow to address patterns relevant to a variety of conditions are directed at internal network security, virtualization, and web connection security. A flow processing facility for inspecting payloads of network traffic packets detects security threats and intrusions across accessible layers of the IP-stack by applying content matching and behavioral anomaly detection techniques based on regular expression matching and self-organizing maps. Exposing threats and intrusions within packet payload at or near real-time rates enhances network security from both external and internal sources while ensuring security policy is rigorously applied to data and system resources. Intrusion Detection and Protection (IDP) is provided by a flow processing facility that processes a data flow to address patterns relevant to a variety of types of network and data integrity threats that relate to computer systems, including computer networks.
Harsh Kapoor - Boxborough MA, US Moisey Akerman - Upton MA, US Stephen D. Justus - Portland OR, US JC Ferguson - Harvard MA, US Yevgeny Korsunsky - Bedford MA, US Paul S. Gallo - Newton MA, US Charles Ching Lee - Ashland MA, US Timothy M. Martin - Westford MA, US Chunsheng Fu - Amesbury MA, US Weidong Xu - Westford MA, US
International Classification:
G06F 17/30
US Classification:
707 6, 707E17014
Abstract:
A flow processing facility, which uses a set of artificial neurons for pattern recognition, such as a self-organizing map, in order to provide security and protection to a computer or computer system supports unified threat management based at least in part on patterns relevant to a variety of types of threats that relate to computer systems, including computer networks. Flow processing for switching, security, and other network applications, including a facility that processes a data flow to address patterns relevant to a variety of conditions are directed at internal network security, virtualization, and web connection security. A flow processing facility for inspecting payloads of network traffic packets detects security threats and intrusions across accessible layers of the IP-stack by applying content matching and behavioral anomaly detection techniques based on regular expression matching and self-organizing maps. Exposing threats and intrusions within packet payload at or near real-time rates enhances network security from both external and internal sources while ensuring security policy is rigorously applied to data and system resources. Intrusion Detection and Protection (IDP) is provided by a flow processing facility that processes a data flow to address patterns relevant to a variety of types of network and data integrity threats that relate to computer systems, including computer networks.