10866 results about "Network security" patented technology

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.

A network security device which acts as an “airlock” for traffic between a communications device and a network. Data is screened using rules based analysis by the security device to counter various threats, including viruses, phishing, attempts to “hijack” communications, communications with known malicious addresses or unknown addresses, and transmission of sensitive information. Data packets can be reassembled into files for screening, and decoded or expanded as necessary, but is never executed. The data path for the data being screened is kept separate from the operations of the network security device itself, so that the device is incorruptible—its programming cannot be compromised from outside sources. Updates for rules and entry of sensitive data for screening, etc., must be done through a physical interface, not via the normal data communications channel. The device is invisible—it cannot be “seen” by the network, and thus cannot be attacked.

A payment card financial transaction authenticates for providing overall financial network security computes a number of results from a cryptographic key that match values that were selectively used to personalize individual payment cards with their individual user identification and account access codes. An account access code is later presented daring a financial transaction involving at least one of those individual payment cards. A dynamic portion is included in a merchant's magnetic reading of the payment card. Then authenication can proceed by matching it with values computed from the cryptographic key.

A method (and system) which provides virtual machine migration with filtered network connectivity and control of network security of a virtual machine by enforcing network security and routing at a hypervisor layer at which the virtual machine partition is executed, and which is independent of guest operating systems.

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.

A session key is established for accessing a trusted network from a browser. An authentication process receives identification information from a user at the browser, and authenticates the user by checking the identification information against an authentication database. If the authentication database authenticates the user, a session key is created and stored at the browser. If the user is authenticated, a user profile defining access rights for the user is also retrieved. The user is then presented with access options based on the access rights defined in the user profile. In response to a user selection from the access page, the browser forwards an information request to the trusted network. The request includes a session key. A speaker object processes the information request and session key to form a network request packet. The network request packet is formed in a manner that allows authentication of the speaker object. The session packet is forwarded to a trusted network and processed. The packet is first authenticated to determine if it originated from the speaker object, and then the key is checked for validity at the trusted server. If the key is valid, the information request is processed and the information is returned to the user for display on the browser.

A runtime adaptable search processor is disclosed. The search processor provides high speed content search capability to meet the performance need of network line rates growing to 1 Gbps, 10 Gbps and higher. The search processor provides a unique combination of NFA and DFA based search engines that can process incoming data in parallel to perform the search against the specific rules programmed in the search engines. The processor architecture also provides capabilities to transport and process Internet Protocol (IP) packets from Layer 2 through transport protocol layer and may also provide packet inspection through Layer 7. Further, a runtime adaptable processor is coupled to the protocol processing hardware and may be dynamically adapted to perform hardware tasks as per the needs of the network traffic being sent or received and / or the policies programmed or services or applications being supported. A set of engines may perform pass-through packet classification, policy processing and / or security processing enabling packet streaming through the architecture at nearly the full line rate. A high performance content search and rules processing security processor is disclosed which may be used for application layer and network layer security. Scheduler schedules packets to packet processors for processing. An internal memory or local session database cache stores a session information database for a certain number of active sessions. The session information that is not in the internal memory is stored and retrieved to / from an additional memory. An application running on an initiator or target can in certain instantiations register a region of memory, which is made available to its peer(s) for access directly without substantial host intervention through RDMA data transfer. A security system is also disclosed that enables a new way of implementing security capabilities inside enterprise networks in a distributed manner using a protocol processing hardware with appropriate security features.

A runtime adaptable security processor is disclosed. The processor architecture provides capabilities to transport and process Internet Protocol (IP) packets from Layer 2 through transport protocol layer and may also provide packet inspection through Layer 7. Further, a runtime adaptable processor is coupled to the protocol processing hardware and may be dynamically adapted to perform hardware tasks as per the needs of the network traffic being sent or received and / or the policies programmed or services or applications being supported. A set of engines may perform pass-through packet classification, policy processing and / or security processing enabling packet streaming through the architecture at nearly the full line rate. A high performance content search and rules processing security processor is disclosed which may be used for application layer and network layer security. A scheduler schedules packets to packet processors for processing. An internal memory or local session database cache stores a session information database for a certain number of active sessions. The session information that is not in the internal memory is stored and retrieved to / from an additional memory. An application running on an initiator or target can in certain instantiations register a region of memory, which is made available to its peer(s) for access directly without substantial host intervention through RDMA data transfer. A security system is also disclosed that enables a new way of implementing security capabilities inside enterprise networks in a distributed manner using a protocol processing hardware with appropriate security features.

A system uses automatic feedback and control to secure a network infrastructure by iterative convergence of the network's security structure to meet a security policy. Following initialization, a security feedback control system of the security management system makes dynamic adjustments to the system using bi-directional services that are controlled via policy decision components, without user intervention.

Honey pots are used to attract computer attacks to a virtual operating system that is a virtual instantiation of a typical deployed operational system. Honey nets are a collection of these virtual systems assembled to create a virtual network. The subject system uses a forward deployed honey net combined with a parallel monitoring system collecting data into and from the honey net, leveraging the controlled environment to identify malicious behavior and new attacks. This honey net / monitoring pair is placed ahead of the real deployed operational network and the data it uncovers is used to reconfigure network protective devices in real time to prevent zero-day based attacks from entering the real network. The forward network protection system analyzes the data gathered by the honey pots and generates signatures and new rules for protection that are coupled to both advanced perimeter network security devices and to the real network itself so that these devices can be reconfigured with threat data and new rules to prevent infected packets from entering the real network and from propagating to other machines. Note the subject system applies to both zero-day exploit-based worms and also manual attacks conducted by an individual who is leveraging novel attack methods.

A distributed network-attached storage network provides content distribution using conventional file transfer protocols such as NFS and CIFS. A filer proxy accepts a client request and translates the client request to a file transfer protocol accepted at the file system having the file requested in the client request. The filer proxy generates a file handle for the file containing redundant filer proxy information to be used for failover to a backup filer proxy in the event of a network error or failure of an original filer proxy. The file handle also contains information for network security purposes such as detection of forged file handles.

A method and system for security monitoring in a computer network has a packet sink with filtering and data analysis capabilities. The packet sink is a default destination for data packets having an address unrecognized by the network routers. At the packet sink, the packets are filtered and statistical summaries about the data traffic are created. The packet sink then forwards the data to a monitor, the information content depending on the level of traffic in the network.

A method and system for distributed network address translation with security features. The method and system allow Internet Protocol security protocol (“IPsec”) to be used with distributed network address translation. The distributed network address translation is accomplished with IPsec by mapping a local Internet Protocol (“IP”) address of a given local network device and a IPsec Security Parameter Index (“SPI”) associated with an inbound IPsec Security Association (“SA”) that terminates at the local network device. A router allocates locally unique security values that are used as the IPsec SPIs. A router used for distributed network address translation is used as a local certificate authority that may vouch for identities of local network devices, allowing local network devices to bind a public key to a security name space that combines a global IP address for the router with a set of locally unique port numbers used for distributed network address translation. The router issues security certificates and may itself be authenticated by a higher certificate authority. Using a security certificate, a local network device may initiate and be a termination point of an IPsec security association to virtually any other network device on an IP network like the Internet or an intranet. The method and system may also allow distributed network address translation with security features to be used with Mobile IP or other protocols in the Internet Protocol suite.

Described are techniques used for assessing the security of a network. Pruned attack trees are generated using a forward chaining, breadth-first technique representing the attack paths of a possible attacker in the network. A vulnerability score is determined for each network and attacker starting point using attack loss values assigned to each host and information extracted from the attack tree(s) concerning compromised hosts. Different hypothetical alternatives may be evaluated to improve security of the network and each alternative may be evaluated by recomputing the network vulnerability score and comparing the recomputed score to the original network vulnerability score. Also disclosed is a method for determining end-to-end connectivity of a network. The resulting end-to-end connectivity information is used in generating the pruned attack tree.

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.

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.

Real time security, integrity, and reliability postures of operational (OT), information (IT), and security (ST) systems, as well as slower changing security and operational blueprint, policies, processes, and rules governing the enterprise security and business risk management process, dynamically evolve and adapt to domain, context, and situational awareness, as well as the controls implemented across the operational and information systems that are controlled. Embodiments of the invention are systematized and pervasively applied across interconnected, interdependent, and diverse operational, information, and security systems to mitigate system-wide business risk, to improve efficiency and effectiveness of business processes and to enhance security control which conventional perimeter, network, or host based control and protection schemes cannot successfully perform.

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.

A system is provided for modeling and analysis of cybersecurity threats may include a data flow diagram (DFD) creator, threat indicator and threat analyzer. The DFD creator may identify elements of an information system, and compose a DFD including nodes and edges representing components and data flows of the information system. The threat indicator may identify a cybersecurity threat to a particular element of the information system, and add a secondary node representing the cybersecurity threat to the DFD to thereby produce a threat-model DFD for the information system. In metadata associated with the nodes, edges and secondary node, the DFD creator and threat indicator may provide structured information including attributes of the components, data flows and cybersecurity threat. And the threat analyzer may perform an analysis of the cybersecurity threat based on the threat-model DFD and metadata associated with the nodes, edges and secondary node thereof.

Systems and method of the present disclosure are directed to a network security monitor. The monitor can receive logs of a second computer network indicative of a status of the second computer network determined by a monitoring agent executing on the second computer network. The monitor can generate indexed logs from the logs based on log format. The monitor can retrieving a list of threat indicators from a database based on a schema from a plurality of threat indicators received from a plurality of heterogeneous repositories via the first computer network. The monitor can compare the list of threat indicators with the indexed logs. The monitor can generate a report based on the comparing to identify a threat.

Systems, methods, and program product to perform a cyber security risk assessment on a plurality of process control networks and systems comprising a plurality of primary network assets at an industrial process facility, are provided. An example of a system and program product can include an industrial and process control systems scanning module configured to identify networks and systems topology and to execute system and network security, vulnerability, virus, link congestion, node congestion analysis to thereby detect susceptibility to know threats to define potential vulnerabilities; a threats to vulnerabilities likelihood and consequences data repository module configured to determine a likelihood of each of a plurality of known threats exploiting identified vulnerabilities and to identify consequences of the exploitation to individual impacted systems and to overall plant operation; and a risk level evaluator module configured to determine a risk level rating for any identified vulnerabilities and provide recommended corrective actions.

Detecting a network security threat is disclosed. Network traffic is classified with a security risk related classification, the classification being determined at least in part by applying a threat detection heuristic to at least a portion of the network traffic. Classification data that indicates the security risk related classification into which the network traffic has been classified is added to the network traffic. The network traffic is subjected to a level of network security threat detection processing that corresponds to the security risk related classification into which the network traffic has been classified as determined based at least in part on the classification data.

An ultrawideband radio transceiver / repeater provides a low cost infrastructure solution that merges wireless and wired network devices while providing connection to the plant, flexible repeater capabilities, network security, traffic monitoring and provisioning, and traffic flow control for wired and wireless connectivity of devices or networks. The ultrawidebande radio transceiver / repeater can be implemented in discrete, integrated, distributed or embedded forms.

A scalable cyber-security system, method and architecture for the identification of malware and malicious behavior in a computer network. Host flow, host port usage, host information and network data at the application, transport and network layers are aggregated from within the network and correlated to identify a network behavior such as the presence of malicious code.

A method and system to distribute encrypted content via a network commences when a content provider generates a set of session keys and encrypts content with the set of session keys. The content provider communicates the set of session keys to a content distributor, which generates a set of encrypted session keys by encrypting the set of session keys with a user key. The content distributor transmits the encrypted content and the encrypted session keys to a content destination. The content distributor also transmits the user key to the content destination, allowing the content destination to decrypt the set of session keys with the user key, and thereby use the set of decrypted session keys to decrypt the content. In a further embodiment of the invention, the session keys are a time-varying sequence of session keys.

A system and method provide comprehensive and highly automated testing of vulnerabilities to intrusion on a target network, including identification of operating system, identification of target network topology and target computers, identification of open target ports, assessment of vulnerabilities on target ports, active assessment of vulnerabilities based on information acquired from target computers, quantitative assessment of target network security and vulnerability, and hierarchical graphical representation of the target network, target computers, and vulnerabilities in a test report. The system and method employ minimally obtrusive techniques to avoid interference with or damage to the target network during or after testing.

A system and method to detect and prevent fraud in a system is provided. The system may uniquely identify physical devices connecting to a network, register unique devices, track end-user logins, associate end-user accounts with specific devices, and share information with multiple network service providers is described.