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Information Protection Processes and Procedures

WITDOM E2EE

The WITDOM End-2-End Encryption (E2EE) component provides protection functionalities in terms of locally encrypting data in the trusted domain before storing them in the untrusted domain for the secure backup purposes.

Data Encryption

This tool provides the means for processing data in different ways, supporting different purposes with different privacy requirements. It includes several components providing the capabilities to encrypt data while preserving the format or ordering of the data. This tool enables users of legacy applications to move their databases to a public cloud, while preserving data privacy and confidentiality. Moreover, the tool provides components for data generalization as means for anonymizing bulk data using k-anonymity techniques.

WITDOM Data Transformation and Storage

With every request to the WITDOM platform for processing of new data, the data are first transformed into the common WITDOM format (if it is not in this format already) and then stored in the WITDOM Storage for further processing.

SECOSTOR

"PRISMACLOUD Tools: A cryptographic toolbox for increasing security in cloud services. reusable toolbox encapsulating cryptographic functionality from which dependably secure cloud services can be assembled. In order to provide a tangible abstraction of the complexity involved with the construction of cryptographically secured cloud services, we introduce the fourlayer PRISMACLOUD architecture. Top down, it consists of a use cases (application) layer, a services layer, a tools layer, and a cryptographic primitives and protocols layer.

WITDOM Integrity and Consistency Verification

WITDOM’s Integrity and Consistency Verification component protects the integrity and consistency of data outsourced to an untrusted remote storage.

PIDMaaS

PRISMACLOUD Tools: A cryptographic toolbox for increasing security in cloud services. reusable toolbox encapsulating cryptographic functionality from which dependably secure cloud services can be assembled. In order to provide a tangible abstraction of the complexity involved with the construction of cryptographically secured cloud services, we introduce the fourlayer PRISMACLOUD architecture. Top down, it consists of a use cases (application) layer, a services layer, a tools layer, and a cryptographic primitives and protocols layer.

GSSLib

Group Signature Library (GSSLib) is a Java library (GSS library) and part of the PRISMACLOUD FLEXAUTH cryptographic tool that supports group signature schemes, a variant of signature schemes which help to enhance the privacy of the signers. In particular in group signatures a group manager can set up a group so that every member of this group can anonymously generate a signature on behalf of the group. In addition there is an opening authority which can revoke the anonymity of the users in case of misbehaviour.

MSSLib

Malleable Signature Library (MSSLib) is a Java library (MSS library) and part of the PRISMACLOUD FLEXAUT cryptographic tool that supports various types of malleable signature schemes for controlled modification of signed data and verifiable computations.

TOPOCERT

The topology certification tool supports the application of graph signatures to certify and prove properties of topologies. The tool is realized as an interactive protocol framework between the roles of an issuer, a prover and a verifier. The tool assumes that the topology is provided by another entity in a standard graph format. The issuer is responsible for the certification of the encoding for the topology certification framework, as well as for issuing a topology certificate to the prover.

VERIDAP

This tool supports the delegation of processing authenticated data in a way that the result can be efficiently verified for correctness. It comprises three different components, being a data originator component, a data processing component, and a verification component. The data originator component provides the input data (and potentially some additional metadata). The data processing component is given a set of input data and a description of the processing rules, and outputs the result of the computation, as well as a proof certifying the correctness of the delegated computation.

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Position Paper of the AI4HealthSec and HEIR projects

On the event of the adoption of the draft regulation laying down measures for a high common level of cybersecurity at the institutions, bodies, offices and agencies of the Union, the AI4HealthSec project kicked off a process to provide its opinion.
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