Abstract: Example implementations relate to determining when to adjust a power state of access points. A non-transitory computer readable medium may store instructions executable by a processing resource to: determine a subset of a group of access points (APs) that is to provide, to a client device, at least a performance threshold during a particular time interval, wherein an AP of the subset of the group of APs serves the client device; and determine when to adjust a power state of a remaining AP of the group of APs based on: a first degree of performance being provided by a first set of radios of the subset of the group of APs; and a second degree of performance to be provided by the remaining AP of the group of APs if the group of client devices is provided a network connectivity via a second radio of the remaining AP of the group of APs.

Abstract: Example implementations relate to determining when to adjust a power state of access points. A non-transitory computer readable medium may store instructions executable by a processing resource to: determine a subset of a group of access points (APs) that is to provide, to a client device, at least a performance threshold during a particular time interval, wherein an AP of the subset of the group of APs serves the client device; and determine when to adjust a power state of a remaining AP of the group of APs based on: a first degree of performance being provided by a first set of radios of the subset of the group of APs; and a second degree of performance to be provided by the remaining AP of the group of APs if the group of client devices is provided a network connectivity via a second radio of the remaining AP of the group of APs.

Abstract: Example implementations relate to determining when to adjust a power state of access points. A non-transitory computer readable medium may store instructions executable by a processing resource to: determine a subset of a group of access points (APs) that is to provide, to a client device, at least a performance threshold during a particular time interval, wherein an AP of the subset of the group of APs serves the client device; and determine when to adjust a power state of a remaining AP of the group of APs based on: a first degree of performance being provided by a first set of radios of the subset of the group of APs; and a second degree of performance to be provided by the remaining AP of the group of APs if the group of client devices is provided a network connectivity via a second radio of the remaining AP of the group of APs.

Abstract: Example implementations relate to adjusting power states of access points based on a power model. A non-transitory computer readable medium may store instructions executable by a processing resource to: in response to a client device being associated with an access point (AP) of a group of APs, determine: a first degree of performance being provided to the client device via a first radio of the AP of a group of APs; and a second degree of performance to be provided to the client device via a second radio of the group of APs, if the client device is provided a network connectivity via the second radio; determine, based on the first degree of performance and the second degree of performance, a subset of the group of APs whose power state is adjustable to a different power state; and adjust a power state of the subset of the group of APs.

Abstract: Example implementations relate to predicting power states of access points (APs). A non-transitory computer readable medium may store instructions executable by a processing resource to: in response to a first client device being associated with a first access point (AP) of a group of APs, determine a first degree of performance a second AP of the group is to provide if the first client device is associated with the second AP; and predict, based on the determined degree of performance, a second degree of performance the group of AP is to provide to a second client device if the second client device is associated with the group of APs during a first time interval at a location.

Abstract: Example implementations relate to determining when to adjust a power state of access points. A non-transitory computer readable medium may store instructions executable by a processing resource to: determine a subset of a group of access points (APs) that is to provide, to a client device, at least a performance threshold during a particular time interval, wherein an AP of the subset of the group of APs serves the client device; and determine when to adjust a power state of a remaining AP of the group of APs based on: a first degree of performance being provided by a first set of radios of the subset of the group of APs; and a second degree of performance to be provided by the remaining AP of the group of APs if the group of client devices is provided a network connectivity via a second radio of the remaining AP of the group of APs.

Abstract: Example implementations relate to adjusting power states of access points based on a power model. A non-transitory computer readable medium may store instructions executable by a processing resource to: in response to a client device being associated with an access point (AP) of a group of APs, determine: a first degree of performance being provided to the client device via a first radio of the AP of a group of APs; and a second degree of performance to be provided to the client device via a second radio of the group of APs, if the client device is provided a network connectivity via the second radio; determine, based on the first degree of performance and the second degree of performance, a subset of the group of APs whose power state is adjustable to a different power state; and adjust a power state of the subset of the group of APs.

Abstract: Example implementations relate to predicting power states of access points (APs). A non-transitory computer readable medium may store instructions executable by a processing resource to: in response to a first client device being associated with a first access point (AP) of a group of APs, determine a first degree of performance a second AP of the group is to provide if the first client device is associated with the second AP; and predict, based on the determined degree of performance, a second degree of performance the group of AP is to provide to a second client device if the second client device is associated with the group of APs during a first time interval at a location.

Abstract: Various embodiment methods for performing security-focused web crawling by a server may include identifying sensitive data on a first web page, and generating a first document object model (DOM) for the first web page in which the first DOM represents the sensitive data on the first web page. Various embodiments may further include comparing one or more attributes of the sensitive data in the first DOM with the one or more attributes of the sensitive data in a second DOM for a second web page, and determining whether the first web page is different from the second web page based on the comparison of the one or more attributes of the sensitive data in the first DOM and the second DOM.

Abstract: Embodiments include computing devices, apparatus, and methods implemented by the apparatus for implementing anomalous hypertext transfer protocol (HTTP) event detection on a computing device. The computing device may receive an HTTP response, from a web application, having a first semi-structured data of a uniform resource locator (URL), store the first semi-structured data, compare a first plurality of stored semi-structured data of a plurality of URLs of a plurality of HTTP responses from the web application, identify a pattern in the first plurality of stored semi-structured data, define a first invariant for the HTTP response based on an identified pattern, and defining a first generic feature for the first invariant.

Abstract: Various embodiments provide methods, devices, and non-transitory processor-readable storage media for detecting anomalies in network traffic patterns with a network device by analyzing patterns in network traffic packets traversing the network. Various embodiments include clustering received network traffic packets into groups. The network device receives data packets originating from an endpoint device and analyzes the packets for patterns. The network device may apply a traffic analysis model to the clusters to obtain context classes. The network device may select a behavior classifier model based, at least in part, on the determined context class, and may apply the selected behavior classifier model to determine whether the packet behavior is benign or non-benign.

Abstract: Various embodiment methods for performing security-focused web crawling by a server may include identifying sensitive data on a first web page, and generating a first document object model (DOM) for the first web page in which the first DOM represents the sensitive data on the first web page. Various embodiments may further include comparing one or more attributes of the sensitive data in the first DOM with the one or more attributes of the sensitive data in a second DOM for a second web page, and determining whether the first web page is different from the second web page based on the comparison of the one or more attributes of the sensitive data in the first DOM and the second DOM.

Abstract: Aspects may relate to a server comprising: an interface to receive a service request; and a processor coupled to the interface to receive the service request, the processor configured to: implement a firewall appliance for the service request; operate a first micro-security application to generate an anomaly alert for the service request; and operate a second micro-security application to receive the anomaly alert from the first micro-security application or from another server's micro-security application and to determine whether the service request corresponds to a non-benign behavior.