A computationally-implemented method, for certain example embodiments, may include, but is not limited to: identifying a network connection coupling a computer server to a computing device; and transmitting, via the network connection, a behavioral fingerprint associated with an authorized user of the computing device, the behavioral fingerprint providing at least one status of the authorized user with respect to the computing device. In addition to the foregoing, other example aspects are presented in the claims, drawings, and written description forming a part of the present disclosure.

Network Acquired Behavioral Fingerprint for Authentication

Described is a technology by which a storage volume is shared by cluster nodes of a server cluster. In one implementation, each node includes a redirector that provides shared access to the volume from that node. The redirector routes file system metadata requests from applications and the like through a first (e.g., SMB) communications path to the owning node, and routes file system read and write data to the storage device through a second, high-speed communications path such as direct direct block level I/O. An owning node maintains ownership of the storage device through a persistent reservation mechanism that writes a key to a registration table associated with the storage device. Non-owning nodes write a shared key. The owning node validates the shared keys against cluster membership data, and preempts (e.g., removes) any key deemed not valid. Security mechanisms for controlling access are also described.

Cluster shared volumes

Disclosed herein are example embodiments for behavioral fingerprinting with social networking. For certain example embodiments, one or more devices may: (i) communicate for at least one interaction related to a user of a user device in a behavioral fingerprint habitat; or (ii) administer at least an aspect of at least one interaction related to a user of a user device in a behavioral fingerprint habitat. However, claimed subject matter is not limited to any particular described embodiments, implementations, examples, or so forth.

Behavioral fingerprinting with social networking

A computationally implemented method includes, but is not limited to: for determining one or more behavioral fingerprints associated with one or more network accessible users; relationally mapping the one or more behavioral fingerprints to generate a trust verification schema associated with the one or more network accessible users; and determining whether to authenticate one or more transactions via the trust verification schema. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.

Trust verification schema based transaction authorization

A computationally-implemented method, for certain example embodiments, may include, but is not limited to: determining that a first user of a computing device is associated with the computing device; and determining a level of authentication associated with the first user via the computing device, the level of authentication at least partially based on a behavioral fingerprint. A level of authentication determination may additionally/alternatively include at least determining a behavioral fingerprint via establishing a statistical predictability of one or more future actions of an authorized user of a computing device. A level of authentication determination may additionally/alternatively include at least determining an authentication level with respect to a computing device at least partially based on a behavioral fingerprint determined from interaction(s) with another device. In addition to the foregoing, other example aspects are described in the claims, drawings, and written description forming a part of the present disclosure.

Behavioral fingerprint based authentication

Provided is a method, system and program for synchronizing sequential subtasks of a task, so that the subtasks can be dispatched to generate operations in a particular sequence. In one embodiment, a subtask which has been prepared for dispatching is queued in a queue until the queued subtask is the next subtask in sequence for dispatching. In one embodiment, the subtasks may be sorted in the queue by task and by subtask sequence.

Method, system, and program for synchronizing subtasks using sequence numbers

A method for implicit authorization to a computer resource includes defining a behavioral signature including a plurality of defined computer actions known to an authorized user of the computer resource. A first performed computer action of a user is registered. The first performed computer action is compared with a first defined computer action of the plurality of defined computer actions, wherein, if the first performed computer action and the first defined computer action match, an authentication state is changed from a first authentication state to a second authentication state.

Implicit authentication to computer resources and error recovery

A method, system, and computer program product for reducing power consumption in a display area of an electronic device is provided. The method includes selecting a first window within the display area to be highlighted using a first input command of a user; locating the first window in the display area; and reducing power to at least portions of the display area not corresponding to the first window

Method and apparatus for reducing power consumption of an electronic display

A computer storage system includes a supervisor algorithm to detect a host computer's initiator logging in. The supervisor algorithm identifies data storage devices associated with the newly logged-on initiator and tags logical unit number control blocks (“LUNCBs”) as having priority in an initiation process. The supervisor algorithm assigns a task control block to each of the identified data storage devices and invokes a logical unit number (“LUN”) initialization algorithm. If the supervisor algorithm was invoked during an initial microcode load (“IML”) event, the LUN initialization algorithm initializes each of the identified data storage devices. However, if the supervisor algorithm was invoked during a warmstart procedure, the LUN initialization algorithm first checks to make sure the LUNCB was not mistakenly written too. If not, the LUN initialization algorithm terminates without initializing the associated data storage device. Otherwise, the associated data storage device is initialized and the LUN initialization algorithm terminates.

Priority initialization system

A method of transmitting information from a primary storage control unit to a secondary storage control unit in an asynchronous data copying system. The method includes building multiple descriptor blocks for transmission from the primary storage control unit, and encrypting multiple payloads according to one of n encryption methods. In addition, the n encryption methods are associated with the primary storage control unit and n decryption keys relating to the n encryption methods are associated with the secondary storage control unit. An index to the n encryption keys is associated with the multiple descriptor blocks. The method further includes encrypting each of the payloads according to one of the n encryption methods and indicating, in the index associated with a selected descriptor block, which decryption key relates to the encryption method used for any payload associated with a select descriptor block. Upon transmission of a descriptor block from the primary storage control unit to the secondary storage control unit, the index is read and an appropriate decryption key is applied according to a decryption method to decrypt any payload associated with the descriptor block.

Nicholas D. Fifer

Papers

Method, system, and program for synchronizing subtasks using sequence numbers

Implicit authentication to computer resources and error recovery

Method and apparatus for reducing power consumption of an electronic display

Priority initialization system

Encryption technique for asynchronous control commands and data