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The Secure Personal Cloud architecture relieves the individual from this security task by employing a secure token (i.e., a tamper-resistant hardware device) to control all the sensitive information (e.g., encryption keys, metadata, indexes) and operations (e.g., authentication, data encryption/decryption, access control, and query processing).
Dickson now serves as the first Black founder in history worldwide to raise the highest secure token offering (STO) crowdfunding round from the general public.
In a production GenePING installation, these two keys are expected to be loaded into RAM from an administrator's secure token.
We rely on the data provider to authenticate the patient according to routine procedure and then to issue that patient a unique and secure token associated with the institutional record.
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However, secure tokens are usually equipped with extremely low RAM but have significant Flash storage capacity (Gigabytes), which raises important barriers for embedded data management.
This paper presents a new embedded search engine specifically designed for secure tokens, which applies to the important use-case of managing and securing documents in the Personal Cloud context.
The worst case, many security consultants say, is that the vulnerability created by the theft might require companies to replace the secure tokens, which, according to analysts, cost $15 a year or more to maintain.
However, this technology won't be used in isolation, combining biometrics with secure tokens (passport and ID Cards) and effective business processes will ensure more convenience for the user and less chance of identity theft.
In this paper, we introduce three design principles, namely Write-Once Partitioning, Linear Pipelining and Background Linear Merging, and show how they can be combined to produce an embedded search engine matching the hardware constraints of secure tokens and reconciling high insert/delete/update rate and query scalability.
To enable this, a BioMart Portal administrator must exchange secure tokens with trusted BioMart server partners in a one-time configuration process, which eliminates the possibility of a BioMart server establishing a connection with an unknown third party.
In Apple's model, the user stores a secured "token" issued by their bank on their phone; this token is then used for transactions, authorised by the user's fingerprint on the phone's Touch ID system.
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CEO of Professional Science Editing for Scientists @ prosciediting.com