2005년 대한 생화학·분자생물학회 하계학술대회를 다녀와서

A secure data parser is provided that may be integrated into any suitable system for securely storing and communicating data. The secure data parser parses data and then splits the data into multiple portions that are stored or communicated distinctly. Encryption of the original data, the portions of data, or both may be employed for additional security. The secure data parser may be used to protect data in motion by splitting original data into portions of data, that may be communicated using multiple communications paths.

Secure data parser method and system

Disclosed is an autonomous neighborhood vehicle controllable through a neighborhood social network. In one embodiment, an autonomous neighborhood vehicle can autonomously navigate to a destination specified by a user of the neighborhood social network. In one embodiment, a computer system of the autonomous neighborhood vehicle is communicatively coupled to the neighborhood social network through a wireless network to autonomously navigate to a destination specified by the user of the neighborhood social network. A navigation server provides a remote sensing capability to the autonomous neighborhood vehicle. A particular user of a third-party application is authenticated as being a verified user of the neighborhood social network having a verified residential address. An information of the particular user is communicated to the third-party application from the neighborhood social network based on a personal address privacy preference of the particular user.

Autonomous neighborhood vehicle commerce network and community

The systems and methods of the present invention provide a solution that makes data provably secure and accessible—addressing data security at the bit level—thereby eliminating the need for multiple perimeter hardware and software technologies. Data security is incorporated or weaved directly into the data at the bit level. The systems and methods of the present invention enable enterprise communities of interest to leverage a common enterprise infrastructure. Because security is already woven into the data, this common infrastructure can be used without compromising data security and access control. In some applications, data is authenticated, encrypted, and parsed or split into multiple shares prior to being sent to multiple locations, e.g., a private or public cloud. The data is hidden while in transit to the storage location, and is inaccessible to users who do not have the correct credentials for access.

Systems and methods for securing data in motion

A secure data parser is provided that may be integrated into any suitable system for securely storing data in and communicating data with cloud computing resources. The secure data parser parses data and then splits the data into multiple portions that are stored or communicated distinctly. Encryption of the original data, the portions of data, or both may be employed for additional security.

Systems and methods for securing data in the cloud

In one embodiment a method is disclosed for accepting and enforcing user selectable privacy settings for context awareness including location awareness data on a computing platform. The method may identify a requestor, assign a privacy setting to the requester then detect a request for location information from the requestor. The method may transmit location information to the requester based on the user selected privacy setting. The user selected privacy setting may have a granularity assigned to each requestor based on a privacy preference and the method may entirely block the location information from being disclosed or the method may modify the granularity/accuracy of the location information based on the privacy setting to report context of an appropriate level of granularity according to the privacy setting configured by the user. Other embodiments are also disclosed.

Methods and apparatuses for privacy in location-aware systems

The emergence of ubiquitous mobile devices, such as MP3 players, cellular phones, PDAs, and laptops, has sparked the growth of rich, mobile applications Moreover, these applications are increasingly “aware” of the user and her surrounding environment Dynamic mobile environments are generating new requirements – such as allowing users to access real-time, customized services on-demand and with no prior registration – that are not currently addressed by existing approaches to authorization We investigate using contextual information present in the user's operating environment, such as a user's location, for defining an authorization policy More precisely, we have defined an access control model that uses contextual attributes to capture the dynamic properties of a mobile environment, including attributes associated with users, objects, transactions, and the environment Our Contextual Attribute-Based Access Control model lends itself more naturally to a mobile environment where subjects and objects are dynamic Our authorization model promotes the adoption of many revolutionary mobile applications by allowing for the specification of flexible access control policies.

A contextual attribute-based access control model

A method and system for enforcing access control to system resources and assets. Security attributes associated with devices that initiate transactions in the system are automatically generated and forwarded with transaction messages. The security attributes convey access privileges assigned to each initiator. One or more security enforcement mechanisms are implemented in the system to evaluate the security attributes against access policy requirements to access various system assets and resources, such as memory, registers, address ranges, etc. If the privileges identified by the security attributes indicate the access request is permitted, the transaction is allowed to proceed. The security attributes of the initiator scheme provides a modular, consistent secure access enforcement scheme across system designs.

Method for enforcing resource access control in computer systems

Energy efficiency, performance and security of compact, self-powered, smart, secure and connected motes at the edge of IoT are critical for realizing intelligent, robust and sustainable end-to-end cyberphysical systems that deliver compelling new capabilities based on big data analytics. Integrated ultra-low-power compute [1] and wireless connectivity [2], neural-network-based inference accelerators [3], energy-efficient and compact multi-sensing front end and crypto engines, high density and low leakage embedded memory, and fine-grain power management are essential ingredients of the mote SoC.

A cm-scale self-powered intelligent and secure IoT edge mote featuring an ultra-low-power SoC in 14nm tri-gate CMOS

Methods and apparatus to measure the integrity of a virtual machine monitor and an operating system via secure launch are disclosed. In one example, a method measures a first characteristic of a virtual machine monitor, stores the first measured characteristic in a first hardware protected location, measures a second characteristic of an operating system with the virtual machine monitor, wherein the measuring of the second characteristic is initiated by the operating system, and stores the second measured characteristic in a second hardware protected location.

Manoj R. Sastry

Papers

Methods and apparatuses for privacy in location-aware systems

A contextual attribute-based access control model

Method for enforcing resource access control in computer systems

A cm-scale self-powered intelligent and secure IoT edge mote featuring an ultra-low-power SoC in 14nm tri-gate CMOS

Methods and apparatus for integrity measurement of virtual machine monitor and operating system via secure launch