1,099 research outputs found
Options for Securing RTP Sessions
The Real-time Transport Protocol (RTP) is used in a large number of
different application domains and environments. This heterogeneity
implies that different security mechanisms are needed to provide
services such as confidentiality, integrity, and source
authentication of RTP and RTP Control Protocol (RTCP) packets
suitable for the various environments. The range of solutions makes
it difficult for RTP-based application developers to pick the most
suitable mechanism. This document provides an overview of a number
of security solutions for RTP and gives guidance for developers on
how to choose the appropriate security mechanism
Privacy-Preserving Trust Management Mechanisms from Private Matching Schemes
Cryptographic primitives are essential for constructing privacy-preserving
communication mechanisms. There are situations in which two parties that do not
know each other need to exchange sensitive information on the Internet. Trust
management mechanisms make use of digital credentials and certificates in order
to establish trust among these strangers. We address the problem of choosing
which credentials are exchanged. During this process, each party should learn
no information about the preferences of the other party other than strictly
required for trust establishment. We present a method to reach an agreement on
the credentials to be exchanged that preserves the privacy of the parties. Our
method is based on secure two-party computation protocols for set intersection.
Namely, it is constructed from private matching schemes.Comment: The material in this paper will be presented in part at the 8th DPM
International Workshop on Data Privacy Management (DPM 2013
Authentication and authorisation in entrusted unions
This paper reports on the status of a project whose aim is to implement and demonstrate in a real-life environment an integrated eAuthentication and eAuthorisation framework to enable trusted collaborations and delivery of services across different organisational/governmental jurisdictions. This aim will be achieved by designing a framework with assurance of claims, trust indicators, policy enforcement mechanisms and processing under encryption to address the security and confidentiality requirements of large distributed infrastructures. The framework supports collaborative secure distributed storage, secure data processing and management in both the cloud and offline scenarios and is intended to be deployed and tested in two pilot studies in two different domains, viz, Bio-security incident management and Ambient Assisted Living (eHealth). Interim results in terms of security requirements, privacy preserving authentication, and authorisation are reported
ARPA Whitepaper
We propose a secure computation solution for blockchain networks. The
correctness of computation is verifiable even under malicious majority
condition using information-theoretic Message Authentication Code (MAC), and
the privacy is preserved using Secret-Sharing. With state-of-the-art multiparty
computation protocol and a layer2 solution, our privacy-preserving computation
guarantees data security on blockchain, cryptographically, while reducing the
heavy-lifting computation job to a few nodes. This breakthrough has several
implications on the future of decentralized networks. First, secure computation
can be used to support Private Smart Contracts, where consensus is reached
without exposing the information in the public contract. Second, it enables
data to be shared and used in trustless network, without disclosing the raw
data during data-at-use, where data ownership and data usage is safely
separated. Last but not least, computation and verification processes are
separated, which can be perceived as computational sharding, this effectively
makes the transaction processing speed linear to the number of participating
nodes. Our objective is to deploy our secure computation network as an layer2
solution to any blockchain system. Smart Contracts\cite{smartcontract} will be
used as bridge to link the blockchain and computation networks. Additionally,
they will be used as verifier to ensure that outsourced computation is
completed correctly. In order to achieve this, we first develop a general MPC
network with advanced features, such as: 1) Secure Computation, 2) Off-chain
Computation, 3) Verifiable Computation, and 4)Support dApps' needs like
privacy-preserving data exchange
A Scalable Model for Secure Multiparty Authentication
Distributed system architectures such as cloud computing or the emergent
architectures of the Internet Of Things, present significant challenges for
security and privacy. Specifically, in a complex application there is a need to
securely delegate access control mechanisms to one or more parties, who in turn
can govern methods that enable multiple other parties to be authenticated in
relation to the services that they wish to consume. We identify shortcomings in
an existing proposal by Xu et al for multiparty authentication and evaluate a
novel model from Al-Aqrabi et al that has been designed specifically for
complex multiple security realm environments. The adoption of a Session
Authority Cloud ensures that resources for authentication requests are
scalable, whilst permitting the necessary architectural abstraction for myriad
hardware IoT devices such as actuators and sensor networks, etc. In addition,
the ability to ensure that session credentials are confirmed with the relevant
resource principles means that the essential rigour for multiparty
authentication is established
Group key management based on semigroup actions
In this work we provide a suite of protocols for group key management based
on general semigroup actions. Construction of the key is made in a distributed
and collaborative way. Examples are provided that may in some cases enhance the
security level and communication overheads of previous existing protocols.
Security against passive attacks is considered and depends on the hardness of
the semigroup action problem in any particular scenario.Comment: accepted for publication in Journal of algebra and its application
Dynamic Multiparty Authentication of Data Analytics Services within Cloud Environments
Business analytics processes are often composed from orchestrated,
collaborating services, which are consumed by users from multiple cloud systems
(in different security realms), which need to be engaged dynamically at
runtime. If heterogeneous cloud systems located in different security realms do
not have direct authentication relationships, then it is a considerable
technical challenge to enable secure collaboration. In order to address this
security challenge, a new authentication framework is required to establish
trust amongst business analytics service instances and users by distributing a
common session secret to all participants of a session. We address this
challenge by designing and implementing a secure multiparty authentication
framework for dynamic interaction, for the scenario where members of different
security realms express a need to access orchestrated services. This novel
framework exploits the relationship of trust between session members in
different security realms, to enable a user to obtain security credentials that
access cloud resources in a remote realm. The mechanism assists cloud session
users to authenticate their session membership, thereby improving the
performance of authentication processes within multiparty sessions. We see
applicability of this framework beyond multiple cloud infrastructure, to that
of any scenario where multiple security realms has the potential to exist, such
as the emerging Internet of Things (IoT).Comment: Submitted to the 20th IEEE International Conference on High
Performance Computing and Communications 2018 (HPCC2018), 28-30 June 2018,
Exeter, U
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