Abstract: Techniques and structures to provide dynamic deployment of access controls in an on-demand environment. A host electronic device may comprise one or more processors coupled with the at least one physical memory device, the one or more processors configurable to receive, via a user interface, request to access one or more resources managed by the electronic device in the multi-user, on demand computing environment, the request comprising one or more request elements, determine whether a virtual access rule logic comprises one or more virtual access check rules which are anchored to the one or more request elements, and in response to a determination that the virtual access rule logic comprises one or more virtual access check rules which are anchored to the one or more request elements, apply the one or more virtual access check rules to the request. Additional subject matter may be described and claimed.

Abstract: A system which includes at least one host, wherein the host is configured to implement at least one container group including a first container, a data communication module, an interface, and a malicious detection module, wherein the data communication module is configured to collect data based on data communication of the container group, and transmit collected data, or data representative thereof, to the interface, the interface being configured to transmit collected data, or data representative thereof, to the malicious detection module, for detecting malicious data.

Abstract: Techniques and structures to provide dynamic deployment of access controls in an on-demand environment. A host electronic device may comprise one or more processors coupled with the at least one physical memory device, the one or more processors configurable to receive, via a user interface, request to access one or more resources managed by the electronic device in the multi-user, on demand computing environment, the request comprising one or more request elements, determine whether a virtual access rule logic comprises one or more virtual access check rules which are anchored to the one or more request elements, and in response to a determination that the virtual access rule logic comprises one or more virtual access check rules which are anchored to the one or more request elements, apply the one or more virtual access check rules to the request. Additional subject matter may be described and claimed.

Abstract: A system which includes at least one host, wherein the host is configured to implement at least one container group including a first container, a data communication module, an interface, and a malicious detection module, wherein the data communication module is configured to collect data based on data communication of the container group, and transmit collected data, or data representative thereof, to the interface, the interface being configured to transmit collected data, or data representative thereof, to the malicious detection module, for detecting malicious data.

Abstract: Techniques and structures to provide dynamic deployment of access controls in a on-demand environment. A host electronic device may comprise one or more processors coupled with the at least one physical memory device, the one or more processors configurable to receive, via a user interface, request to access one or more resources managed by the electronic device in the multi-user, on demand computing environment, the request comprising one or more request elements, determine whether a virtual access rule logic comprises one or more virtual access check rules which are anchored to the one or more request elements, and in response to a determination that the virtual access rule logic comprises one or more virtual access check rules which are anchored to the one or more request elements, apply the one or more virtual access check rules to the request. Additional subject matter may be described and claimed.

Abstract: Techniques and structures to provide dynamic deployment of access controls in a on-demand environment. A host electronic device may comprise one or more processors coupled with the at least one physical memory device, the one or more processors configurable to receive, via a user interface, request to access one or more resources managed by the electronic device in the multi-user, on demand computing environment, the request comprising one or more request elements, determine whether a virtual access rule logic comprises one or more virtual access check rules which are anchored to the one or more request elements, and in response to a determination that the virtual access rule logic comprises one or more virtual access check rules which are anchored to the one or more request elements, apply the one or more virtual access check rules to the request. Additional subject matter may be described and claimed.

Abstract: An intrusion detection system (“IDS”) device is described that includes a flow analysis module to receive a first packet flow from a client and to receive a second packet flow from a server. The IDS includes a forwarding component to send the first packet flow to the server and the second packet flow to the client and a stateful inspection engine to apply one or more sets of patterns to the first packet flow to determine whether the first packet flow represents a network attack. The IDS also includes an application identification module to perform an initial identification of a type of software application and communication protocol associated with the first packet flow and to reevaluate the identification of the type of software application and protocol according to the second packet flow. The IDS may help eliminate false positive and false negative attack identifications.

Abstract: An intrusion detection system (“IDS”) device is described that includes a flow analysis module to receive a first packet flow from a client and to receive a second packet flow from a server. The IDS includes a forwarding component to send the first packet flow to the server and the second packet flow to the client and a stateful inspection engine to apply one or more sets of patterns to the first packet flow to determine whether the first packet flow represents a network attack. The IDS also includes an application identification module to perform an initial identification of a type of software application and communication protocol associated with the first packet flow and to reevaluate the identification of the type of software application and protocol according to the second packet flow. The IDS may help eliminate false positive and false negative attack identifications.

Abstract: A cloud-based method, a behavioral analysis system, and a cloud-based security system can include a plurality of nodes communicatively coupled to one or more users, wherein the plurality of nodes each perform inline monitoring for one of the one or more users for security comprising malware detection and preclusion; and a behavioral analysis system communicatively coupled to the plurality of nodes, wherein the behavioral analysis system performs offline analysis for any suspicious content from the one or more users which is flagged by the plurality of nodes; wherein the plurality of nodes each comprise a set of known malware signatures for the inline monitoring that is periodically updated by the behavioral analysis system based on the offline analysis for the suspicious content.

Abstract: A cloud-based method, a behavioral analysis system, and a cloud-based security system can include a plurality of nodes communicatively coupled to one or more users, wherein the plurality of nodes each perform inline monitoring for one of the one or more users for security comprising malware detection and preclusion; and a behavioral analysis system communicatively coupled to the plurality of nodes, wherein the behavioral analysis system performs offline analysis for any suspicious content from the one or more users which is flagged by the plurality of nodes; wherein the plurality of nodes each comprise a set of known malware signatures for the inline monitoring that is periodically updated by the behavioral analysis system based on the offline analysis for the suspicious content.

Abstract: A cloud-based method, a behavioral analysis system, and a cloud-based security system can include a plurality of nodes communicatively coupled to one or more users, wherein the plurality of nodes each perform inline monitoring for one of the one or more users for security comprising malware detection and preclusion; and a behavioral analysis system communicatively coupled to the plurality of nodes, wherein the behavioral analysis system performs offline analysis for any suspicious content from the one or more users which is flagged by the plurality of nodes; wherein the plurality of nodes each comprise a set of known malware signatures for the inline monitoring that is periodically updated by the behavioral analysis system based on the offline analysis for the suspicious content.

Abstract: The present disclosure provides phishing heuristic systems and methods that detect phishing sites. The present invention may be implemented via a server connected to the Internet, via a distributed security system, and the like. Phishing sites may be detected in a single transaction, i.e. client request plus server reply, while knowing as little as possible about the site being masqueraded. In an exemplary embodiment, a phishing site detection system and method utilized three steps—whitelisting, blacklisting, and scoring. For example, if a particular page meets all requirements of blacklisting without any elements of whitelisting and has a score over a particular threshold, that particular site may be designated as a phishing page.

Abstract: A cloud-based method, a behavioral analysis system, and a cloud-based security system can include a plurality of nodes communicatively coupled to one or more users, wherein the plurality of nodes each perform inline monitoring for one of the one or more users for security comprising malware detection and preclusion; and a behavioral analysis system communicatively coupled to the plurality of nodes, wherein the behavioral analysis system performs offline analysis for any suspicious content from the one or more users which is flagged by the plurality of nodes; wherein the plurality of nodes each comprise a set of known malware signatures for the inline monitoring that is periodically updated by the behavioral analysis system based on the offline analysis for the suspicious content.

Abstract: An intrusion detection system (“IDS”) device is described that includes a flow analysis module to receive a first packet flow from a client and to receive a second packet flow from a server. The IDS includes a forwarding component to send the first packet flow to the server and the second packet flow to the client and a stateful inspection engine to apply one or more sets of patterns to the first packet flow to determine whether the first packet flow represents a network attack. The IDS also includes an application identification module to perform an initial identification of a type of software application and communication protocol associated with the first packet flow and to reevaluate the identification of the type of software application and protocol according to the second packet flow. The IDS may help eliminate false positive and false negative attack identifications.