Abstract: Devices, systems, and methods of detecting user identity, differentiating between users of a computerized service, and detecting a possible attacker. The methods include monitoring of user-side input-unit interactions, in general and in response to an interference introduced to user-interface elements. The monitored interactions are used for detecting an attacker that utilizes a remote access channel; for detecting a malicious automatic script, as well as malicious code injection; to identify a particular hardware assembly; to perform user segmentation or user characterization; to enable a visual login process with implicit two-factor authentication; to enable stochastic cryptography; and to detect that multiple users are utilizing the same subscription account.

Abstract: An improved technique utilizes a honeypot-style seeding of synthetic user identifiers which, if used by spear-phishing intruders, enable easy discovery of the intruders. Along these lines, an administrator of a network constructs false employee profiles on a social network with the intent of intercepting any email to that employee. Such employee profiles correspond to no actual employee of the corporation, but are in fact synthetic entities designed to appear to be an actual employee. These profiles contain identifiers that describe the employee, such as a name, position within the corporation, telephone number, educational background, past positions, and social connections. The administrator configures a receiver at the corporate network to block from entering the secure network emails that include references to any of these identifiers.

Abstract: An improved technique for performing forensic investigations in an electronic system includes capturing and associating multiple streams of information. The streams include a network stream and a storage stream. The network stream includes a record of network activities. The storage stream includes a record of storage activities. In some examples, the storage stream includes both disk activities and memory activities, including both reads and writes. Records of the captured streams are stored in a data storage array and are associated by applying a common timing reference to the records. A comprehensive history is thus obtained, with both network and storage activities coordinated in time, to enable examination and tracing of suspect or malicious occurrences across network and storage domains. The improved technique can be used in both physical and virtual computing environments and affords particular advantages in virtual and cloud environments where forensic analysis has proven to be difficult.