Abstract: Security layers for protecting a user account or credentials are disclosed. The layers involve the areas of: detection, access, deterrence and response. These layers may be used in various combinations for protecting a user account and are preferably customizable by the user. Invalid login attempts may be detected based on combination(s) of: authorized user input, metadata, connection risk factor, and one or more authentication factors. Examples of authorized user input selections may include: Scheduled Login, Enhanced Logout, Account Freeze, and various “Payback” options. In response to invalid login attempts, selected Payback options may be automatically sent to the requesting device—giving authorized users the ability to fight back against intruders.

Abstract: Automated methods for single sign-on (SSO) to a plurality of websites using optical codes. A login server communicates with a user computer browser and a user mobile device to validate the user. When the user goes to a website, the website presents an optical code to the user computer browser. The user mobile device obtains the optical code and communicates with the login server to automatically log the user in.

Abstract: A user account/password manager is presented to protect any of: user accounts, passwords, and devices using security best practices. User account activity information is managed by a user and displayed in a meaningful way on an Account Management Graphical user interface. The user can easily find out who may be attempting to login to their account, when and how the login attempts were made, and where the login attempts originated.

Abstract: Automated systems, methods, and computer readable media for single sign-on (SSO) to a plurality of websites using optical codes. A login server communicates with a user computer browser and a user mobile device to validate the user. When the user goes to a website, the website presents an optical code to the user computer browser. The user mobile device reads the optical code and communicates with the login server to automatically log the user in.

Abstract: A method for single sign-on (SSO) that provides decentralized credential management using end-to-end security. Credential (and other personal user information) management is decentralized in that encryption is performed locally on the user's computer. The user's encrypted credentials may be stored by the login server and/or a plurality of distributed servers/databases (such as a cloud). The login server never has access to the user's credentials or other personal information. When the user wants to use single sign-on, he enters his password into his browser and the browser submits the encrypted/hashed password to the login server for validation. Upon validation, the browser receives the user's encrypted credentials. The credentials are decrypted by the browser and provided to relevant websites to automatically log the user in.

Abstract: A method for single sign-on (SSO) that provides decentralized credential management using end-to-end security. Credential (and other personal user information) management is decentralized in that encryption is performed locally on the user's computer. The user's encrypted credentials may be stored by the login server and/or a plurality of distributed servers/databases (such as a cloud). The login server never has access to the user's credentials or other personal information. When the user wants to use single sign-on, he enters his password into his browser and the browser submits the encrypted/hashed password to the login server for validation. Upon validation, the browser receives the user's encrypted credentials. The credentials are decrypted by the browser and provided to relevant websites to automatically log the user in.

Abstract: The disclosure relates to Sensor security and Business Intelligence and more particularly to detecting and capturing Sensor information of data in a network environment and extracting information from this un-structured data. Sensors can correspond to video cameras, microphones, access control readers, and various other kinds of sensors in physical security or surveillance systems. In embodiments, data packets having only security sensor data are obtained and reconstructed into their original sensor data stream or data formats. Frames may then be analyzed for points of interest and to derive statistical data. In embodiments, blind spot detection in a video stream using boundary detection and overlay is also disclosed.