Various systems and methods are provided that display various interactive user interfaces containing interactive maps. The user may use the interactive map to perform searches for data objects, toggle different layers associated with different types of objects for display, generate heatmaps based upon a grid and/or data object shapes, copy data between different interactive maps, and/or define filters to filter the displayed data. In response to user interaction with the map at a client system, tile layers are generated using server-side components, assembled into map tiles, and transmitted to client-side components to be displayed to the user. The tile layers may include a base tile layer, vector tile layer, selection tile layer, and inactive tile layer.

Interactive geospatial map

In cases where the right mouse click operation to access a context menu is disabled, the techniques described in the disclosure may provide access to the context menu through a long click of the left mouse button. For example, the user may click and hold the left mouse button for at least a threshold period of time, and in response thereto, the user interface is updated to display the context menu. To indicate to the user how long it would take for the context menu to appear, an icon can be displayed next to the cursor, or as a part of the cursor. The icon can show the relative time left before the context menu is displayed (e.g., an elapsed and/or remaining portion of the threshold period of time, etc.).

Long click display of a context menu

An interactive, graph-based user interaction data analysis system is disclosed. The system is configured to provide analysis and graphical visualizations of user interaction data to a system operator. In various embodiments, interactive visualizations and analyses provided by the system may be based on user interaction data aggregated across particular groups of users, across particular time frames, and/or from particular computer-based platforms and/or applications. According to various embodiments, the system may enable insights into, for example, user interaction patterns and/or ways to optimize for desired user interactions, among others. In an embodiment, the system allows an operator to analyze and investigate user interactions with content provided via one or more computer-based platforms, software applications, and/or software application editions.

Presentation and analysis of user interaction data

Systems and techniques for sharing security data are described herein. Security rules and/or attack data may be automatically shared, investigated, enabled, and/or used by entities. A security rule may be enabled on different entities comprising different computing systems to combat similar security threats and/or attacks. Security rules and/or attack data may be modified to redact sensitive information and/or configured through access controls for sharing.

Security sharing system

A computer system identifies malicious Uniform Resource Locator (URL) data items from a plurality of unscreened data items that have not been previously identified as associated with malicious URLs. The system can execute a number of pre-filters to identify a subset of URLs in the plurality of data items that are likely to be malicious. A scoring processor can score the subset of URLs based on a plurality of input vectors using a suitable machine learning model. Optionally, the system can execute one or more post-filters on the score data to identify data items of interest. Such data items can be fed back into the system to improve machine learning or can be used to provide a notification that a particular resource within a local network is infected with malicious software.

Malicious software detection in a computing system

Utilizing the structure and methods of the invention herein when loading geographic vector data, the average time to load all necessary geographic data needed for one rendered map to the next will be greatly reduced - the loading time reduction will be especially large when pan and zoom operations are the main transitions from one rendered map to the next. The invention uses tiles of stored geographic data available at some scales to generate maps having several scales, including but not limited to the scales of the stored data. The geographical data is organized in a tile-tree in which different tiles contain approximately the same amount of data. This is accomplished by a data generation process that packs details higher in the tree for areas where the data density is low.

Patrik Ellrén

Papers

Maps from Sparse Geospatial Data Tiles