Abstract: Measurement exchange networks and protocols to exchange measurements of a parameter amongst devices (e.g., IoT devices), select the best measurement(s), accuracy/precision-wise, and determine a process variable for a control system based on the selected best measurement(s). A device may select a peer-provided best measurement to output as the process variable in place of a local measurement, and/or compute the process variable from multiple best measurements (e.g., local and/or peer-provided measurements). Metadata may be used to select a measurement(s) and/or to increase reliability/trust of exchanged data. In this way, each device of an exchange group/network may obtain the highest measurement accuracy of all available collocated sensors with little or no additional processing or cloud connectivity.

Abstract: A system is disclosed that includes a processor including watermark logic to output a first watermark to an output device that outputs a first watermark signal, based on the first watermark, to an acoustic transmission medium. The processor also includes recording logic to capture, at a first time period, an authentication submission comprising the first watermark signal convolved, via the acoustic transmission medium, with a first passphrase signal. The system also includes a dynamic random access memory (DRAM). Other embodiments are disclosed and claimed.

Abstract: A technique for secure network storage includes generating, by a trusted execution environment in a first device, an encryption key and a certificate for a document, wherein the certificate comprises expiry information for the document and the encryption key, encrypting, by a general execution environment in the first device, the document with the encryption key, transmitting the encryption key to a remote key manager, and transmitting the document to a remote network storage device, wherein a second device is allowed to decrypt the document based on the expiry information.

Abstract: A combination of hardware monitoring and binary translation software allow detection of return-oriented programming (ROP) exploits with low overhead and low false positive rates. Embodiments may use various forms of hardware to detect ROP exploits and indicate the presence of an anomaly to a device driver, which may collect data and pass the indication of the anomaly to the binary translation software to instrument the application code and determine whether an ROP exploit has been detected. Upon detection of the ROP exploit, the binary translation software may indicate the ROP exploit to an anti-malware software, which may take further remedial action as desired.

Abstract: Technologies for detecting unauthorized memory accesses include a computing device with a processor having transactional memory support. The computing device executes a security assistance thread that starts a transaction using the transactional memory support. Within the transaction, the security assistance thread writes arbitrary data to one or more monitored memory locations. The security assistance thread waits without committing the transaction. The security assistance thread may loop endlessly. The transactional memory support of the computing device detects a transactional abort caused by an external read of the monitored memory location. The computing device analyzes the transactional abort and determines whether a security event has occurred. The computing device performs a security response if a security event has occurred.

Abstract: A system is disclosed that includes a processor including watermark logic to output a first watermark to an output device that outputs a first watermark signal, based on the first watermark, to an acoustic transmission medium. The processor also includes recording logic to capture, at a first time period, an authentication submission comprising the first watermark signal convolved, via the acoustic transmission medium, with a first passphrase signal. The system also includes a dynamic random access memory (DRAM). Other embodiments are disclosed and claimed.

Abstract: A wearable device provides protection for personal identity information by fragmenting a key needed to release the personal identity information among members of a body area network of wearable devices. A shared secret algorithm is used to allow unlocking the personal identity information with fragmental keys from less than all of the wearable devices in the body area network. The wearable devices may also provide protection for other personal user data by employing a disconnect and erase protocol that causes wearable devices to drop connections with an external personal data space and erase locally stored personal information if a life pulse from a connectivity root device is not received within a configurable predefined period.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed for dynamic re-distribution of detection content and algorithms for exploit detection. An example apparatus includes at least one processor, and memory including instructions that, when executed, cause the at least one processor to deploy respective ones of a plurality of standard detection algorithms and content (SDACs) to respective ones of a first endpoint and a second endpoint, deploy a first set of enhanced detection algorithms and content (EDACs) to the first endpoint, deploy a second set of the EDACs to the second endpoint, the second set of EDACs different from the first set of EDACs, and in response to obtaining a notification indicative of an exploit attack from the first endpoint, distribute the first set of EDACs to the second endpoint to facilitate detection of the exploit attack at the second endpoint.

Abstract: Various embodiments are generally directed to techniques to detect and eradicate malware attacks by employing information indicative of malware activity received from both endpoint devices and network devices proving network services to endpoint devices. An apparatus to detect malware includes a processor component, an analysis component for execution by the processor component to employ a trust level assigned to a device in a network as a factor in an analysis of an indication received from the device of a malware attack, and an eradication component for execution by the processor component to determine an action to take through the network to eradicate the malware attack based on the analysis. Other embodiments are described and claimed.

Abstract: A destination data processing system (DPS) receives a key migration block from a source DPS. The key migration block includes an encrypted version of a primary key. The destination DPS receives user input that identifies (a) an authentication policy and (b) a context policy. The destination DPS collects authentication data from the user, based on the identified authentication policy. The destination DPS collects context data, based on the identified context policy. The destination DPS uses the authentication data and the context data to decrypt the key migration block. The authentication data may comprise multiple types of authentication data, possibly including biometric data. The user may also input an index, and the destination DPS may use the index to retrieve a number from a random number server. The destination DPS may use that number to decrypt the key migration block. Other embodiments are described and claimed.

Abstract: A combination of hardware monitoring and binary translation software allow detection of return-oriented programming (ROP) exploits with low overhead and low false positive rates. Embodiments may use various forms of hardware to detect ROP exploits and indicate the presence of an anomaly to a device driver, which may collect data and pass the indication of the anomaly to the binary translation software to instrument the application code and determine whether an ROP exploit has been detected. Upon detection of the ROP exploit, the binary translation software may indicate the ROP exploit to an anti-malware software, which may take further remedial action as desired.

Abstract: Technologies for anonymous context attestation and threat analytics include a computing device to receive sensor data generated by one or more sensors of the computing device and generate an attestation quote based on the sensor data. The attestation quote includes obfuscated attributes of the computing device based on the sensor data. The computing device transmits zero knowledge commitment of the attestation quote to a server and receives a challenge from the server in response to transmitting the zero knowledge commitment. The challenge requests an indication regarding whether the obfuscated attributes of the computing device have commonality with attributes identified in a challenge profile received with the challenge. The computing device generates a zero knowledge proof that the obfuscated attributes of the computing device have commonality with the attributes identified in the challenge profile.

Abstract: Technologies for de-duplicating encrypted content include fragmenting a file into blocks on a computing device, encrypting each block, and storing each encrypted block on a content data server with associated keyed hashes and member identifications. The computing device additionally transmits each encrypted block with an associated member encryption key and member identification to a key server. As part of the de-duplication process, the content data server stores only one copy of the encrypted data for a particular associated keyed hash, and the key server similarly associates a single member encryption key with the keyed hash. To retrieve the file, the computing device receives the encrypted blocks with their associated keyed hashes and member identifications from the content data server and receives the corresponding member decryption key from the key server. The computing device decrypts each block using the member decryption keys and combines to blocks to generate the file.

Abstract: Technologies are provided in embodiments to establish trust between a trusted execution environment (TEE) and a peripheral device. Embodiments are configured to communicate with an attestation server to generate an encryption key, and to establish, using the encryption key, a secure connection with an authentication server to enable communication between the authentication server and the peripheral device. Embodiments are also configured to receive a pairwise master key if the peripheral device is authenticated and to receive a trusted communication from the peripheral device based, at least in part, on the pairwise master key. Embodiments may also be configured to identify a connection to the peripheral device before the peripheral device is authenticated to the authentication server, receive an identifier from the peripheral device, and establish a connection to an attestation server based on at least a portion of the identifier.

Abstract: In one embodiment, a binary translator to perform binary translation of code is to: perform a first binary analysis of a first code block to determine whether a second control transfer instruction is included in the first code block, where the first code block includes a return target of a first control transfer instruction; perform a second binary analysis of a second code block to determine whether the second code block includes the first control transfer instruction, where the second code block includes a call target of the second control transfer instruction; and store an address pair associated with the first control transfer instruction in a whitelist if the second control transfer instruction is included in the first code block and the first control transfer instruction is included in the second code block. Other embodiments are described and claimed.

Abstract: A predetermined standard set of detection algorithms and content and a selected set of enhanced detection algorithms and content provide an improved technique for detecting security exploits. The detection algorithms and content are executed on a Platform Exploit Detection Module. Standard detection algorithms and content are deployed across all endpoints. Enhanced detection algorithms and content are selected from an available set of enhanced detection algorithms and content to improve detection capability without the performance impacts of deploying every enhanced detection algorithm and content on every endpoint. A network of endpoints may deploy an entire set of detection algorithms and content across all endpoints, with individual endpoints configured to with different subsets of the enhanced detection algorithms and content.

Abstract: Distributed systems for protecting networked computer assets from compromise are disclosed. The distributed system includes one or more enterprise event sources, such as endpoint(s). The system also includes a server, such as a Big Data Analytics server, and optionally a security management server such as a Security Information and Event Management server. The Big Data Analytics server processes data collected from the enterprise event sources and produces behavioral profile models for each endpoint (or group of similar endpoints). The profiles, models, and ontology analysis are provided to the endpoints. Endpoint analytics use the output from the analytics servers to detect deviations from the endpoint's behavioral profile.

Abstract: Technologies to facilitate supervision of an online identify include a gateway server to facilitate and monitor access to an online service by a user of a “child” client computer device. The gateway server may include an identity manager to receive a request for access to the online service from the client computing device, retrieve access information to the online service, and facilitate access to the online service for the client computing device using the access information. The access information is kept confidential from the user. The gateway server may also include an activity monitor module to control activity between the client computing device and the online service based on the set of policy rules of a policy database. The gateway server may transmit notifications of such activity to a “parental” client computing device for review and/or approval, which also may be used to update the policy database.

Abstract: A system and method for real-time alteration of media content based on stress monitoring is disclosed. A computer system present a single media content item in two distinct content streams to a first and second user. Using sensor generated data the computer system measures at least one user response indicator for the first and second user and estimates a stress level for the first and second users. The computer system determines whether the estimated stress level for the first user exceeds a first predetermined stress threshold. In accordance with a determination that the estimated stress level for the first user exceeds a first predetermined stress threshold the computer system alters the first stream of the presented media content item to modify the particular portion of the media content item associated with the estimated stress level for the first user.

Abstract: Providing optical watermark signals for a visual authentication session by performing at least the following: receive, at an anti-spoof engine, an instruction to perform visual authentication operations for a visual authentication session, generate, with the anti-spoof engine, an optical watermark signal based on receiving the instruction, wherein the optical watermark signal includes at least one optical identifier to authenticate images captured during the visual authentication session, obtain, with the anti-spoof engine, an image source that includes captured images of the visual authentication session, determine, with the anti-spoof engine, whether the image source includes a reflected optical watermark signal, and compare, with the anti-spoof engine, whether the reflected optical watermark signal matches the generated optical watermark signal based on the determination that the image source includes the reflected optical watermark signal.