Abstract: An illustrative method for performing a risk scenario assessment and remediation may include identifying, based on posture data associated with a compute environment, one or more compute resources deployed in the compute environment that are configured to be connected to a network, accessing runtime workload data associated with the one or more compute resources representative of network activity for the one or more compute resources, and performing, based on the posture data and the runtime workload data, a remediation operation associated with the one or more compute resources.

Abstract: A computer-implemented method for providing landmark-assisted navigation guidance by selectively utilizing database information includes receiving navigation requests from one or more mobile computing devices, each of the requests being associated with a respective starting point, destination, and travel mode. For each navigation request, a corresponding route to be depicted in a corresponding digital map is determined. For each navigation request associated with a first travel mode, corresponding points of interest (POIs) are determined from among a plurality of POIs stored in a database. The corresponding POIs are determined based at least on whether the corresponding POIs are associated with any landmark category. For each navigation request associated with a second travel mode, corresponding POIs are determined irrespective of whether the corresponding POIs are associated with any landmark categories.

Abstract: To evaluate the performance of a navigation application, a navigation performance evaluation system receives indications of several routes generated by a navigation application operating on client devices of several users upon completion of the routes. The navigation performance evaluation system then provides a hindsight analysis of the routes to determine whether faster routes could have been generated. The hindsight analysis is performed by generating a hindsight route for each route based on actual traversal times for road segments in the same geographic area as the route. The actual traversal times are determined based on vehicles traveling on the road segments around the time that a user requested navigation directions corresponding to the route. Based on the hindsight analysis, the navigation performance evaluation system generates an overall performance metric for the routes indicating the ability of the navigation application to identify the fastest routes.

Abstract: A computer-implemented method for providing landmark-assisted navigation guidance by selectively utilizing database information includes receiving navigation requests from one or more mobile computing devices, each of the requests being associated with a respective starting point, destination, and travel mode. For each navigation request, a corresponding route to be depicted in a corresponding digital map is determined. For each navigation request associated with a first travel mode, corresponding points of interest (POIs) are determined from among a plurality of POIs stored in a database. The corresponding POIs are determined based at least on whether the corresponding POIs are associated with any landmark category. For each navigation request associated with a second travel mode, corresponding POIs are determined irrespective of whether the corresponding POIs are associated with any landmark categories.

Abstract: A computer-implemented method for providing landmark-assisted navigation guidance by selectively utilizing database information includes receiving navigation requests from one or more mobile computing devices, each of the requests being associated with a respective starting point, destination, and travel mode. For each navigation request, a corresponding route to be depicted in a corresponding digital map is determined. For each navigation request associated with a first travel mode, corresponding points of interest (POIs) are determined from among a plurality of POIs stored in a database. The corresponding POIs are determined based on at least a zoom level of the corresponding map and whether the corresponding POIs are associated with any landmark category. For each navigation request associated with a second travel mode, corresponding POIs are determined based on at least a zoom level of the corresponding map, but irrespective of whether the corresponding POIs are associated with any landmark categories.

Abstract: A computer-implemented method for providing landmark-assisted navigation guidance by selectively utilizing database information includes receiving navigation requests from one or more mobile computing devices, each of the requests being associated with a respective starting point, destination, and travel mode. For each navigation request, a corresponding route to be depicted in a corresponding digital map is determined. For each navigation request associated with a first travel mode, corresponding points of interest (POIs) are determined from among a plurality of POIs stored in a database. The corresponding POIs are determined based on at least a zoom level of the corresponding map and whether the corresponding POIs are associated with any landmark category. For each navigation request associated with a second travel mode, corresponding POIs are determined based on at least a zoom level of the corresponding map, but irrespective of whether the corresponding POIs are associated with any landmark categories.

Abstract: To identify important access roads for a geographic location, multiple previous requests for directions between a multiplicity of sources and one or more destinations identical, or proximate, to the geographic location are identified. Further, routes between the multiplicity of sources and the one or more destinations are determined. Still further, common road segments shared by at least some of the determined routes are identified, and a set of important access roads for the geographic location are selected from among the identified road segments based on how frequently the identified road segments are used.

Abstract: To identify important access roads for a geographic location, multiple previous requests for directions between a multiplicity of sources and one or more destinations identical, or proximate, to the geographic location are identified. Further, routes between the multiplicity of sources and the one or more destinations are determined. Still further, common road segments shared by at least some of the determined routes are identified, and a set of important access roads for the geographic location are selected from among the identified road segments based on how frequently the identified road segments are used.

Abstract: To identify important access roads for a geographic location, multiple previous requests for directions between a multiplicity of sources and one or more destinations identical, or proximate, to the geographic location are identified. Further, routes between the multiplicity of sources and the one or more destinations are determined. Still further, common road segments shared by at least some of the determined routes are identified, and a set of important access roads for the geographic location are selected from among the identified road segments based on how frequently the identified road segments are used.

Abstract: A framework identifies malicious queries contained in search logs to uncover relationships between the malicious queries and the potential attacks launched by attackers submitting the malicious queries. A small seed set of malicious queries may be used to identify an IP address in the search logs that submitted the malicious queries. The seed set may be expanded by examining all queries in the search logs submitted by the identified IP address. Regular expressions may be generated from the expanded set of queries and used for detecting yet new malicious queries. Upon identifying the malicious queries, the framework may be used to detect attacks on vulnerable websites, spamming attacks, and phishing attacks.

Abstract: A framework identifies malicious queries contained in search logs to uncover relationships between the malicious queries and the potential attacks launched by attackers submitting the malicious queries. A small seed set of malicious queries may be used to identify an IP address in the search logs that submitted the malicious queries. The seed set may be expanded by examining all queries in the search logs submitted by the identified IP address. Regular expressions may be generated from the expanded set of queries and used for detecting yet new malicious queries. Upon identifying the malicious queries, the framework may be used to detect attacks on vulnerable websites, spamming attacks, and phishing attacks.