22,815 research outputs found
A Privacy Preserving Application Acquisition Protocol
In the smart card industry, the application acquisition process involves the card issuers and application providers. During this process, the respective card issuer reveals the identity of the smart card user to the individual application providers. In certain application scenarios it might be necessary (e.g. banking and identity applications). However, with introduction of the Trusted Service Manager (TSM) architecture there might be valid cases where revealing the card user's identity is not necessary. At the moment, the secure channel protocols for traditional smart card architecture including the TSM does not preserve the privacy of the card users. In this paper, we propose a secure and trusted channel protocol that provide such feature along with satisfying the requirements of an open and dynamic environment referred as User Centric Smart Card Ownership Model (UCOM). A comparison is provided between the proposed protocol and selected smart card protocols. In addition, we provide an informal analysis along with mechanical formal analysis using CasperFDR. Finally, we provide the test implementation and performance results
VirtualIdentity : privacy preserving user profiling
User profiling from user generated content (UGC) is a common practice that supports the business models of many social media companies. Existing systems require that the UGC is fully exposed to the module that constructs the user profiles. In this paper we show that it is possible to build user profiles without ever accessing the user's original data, and without exposing the trained machine learning models for user profiling - which are the intellectual property of the company - to the users of the social media site. We present VirtualIdentity, an application that uses secure multi-party cryptographic protocols to detect the age, gender and personality traits of users by classifying their user-generated text and personal pictures with trained support vector machine models in a privacy preserving manner
SECMACE: Scalable and Robust Identity and Credential Management Infrastructure in Vehicular Communication Systems
Several years of academic and industrial research efforts have converged to a
common understanding on fundamental security building blocks for the upcoming
Vehicular Communication (VC) systems. There is a growing consensus towards
deploying a special-purpose identity and credential management infrastructure,
i.e., a Vehicular Public-Key Infrastructure (VPKI), enabling pseudonymous
authentication, with standardization efforts towards that direction. In spite
of the progress made by standardization bodies (IEEE 1609.2 and ETSI) and
harmonization efforts (Car2Car Communication Consortium (C2C-CC)), significant
questions remain unanswered towards deploying a VPKI. Deep understanding of the
VPKI, a central building block of secure and privacy-preserving VC systems, is
still lacking. This paper contributes to the closing of this gap. We present
SECMACE, a VPKI system, which is compatible with the IEEE 1609.2 and ETSI
standards specifications. We provide a detailed description of our
state-of-the-art VPKI that improves upon existing proposals in terms of
security and privacy protection, and efficiency. SECMACE facilitates
multi-domain operations in the VC systems and enhances user privacy, notably
preventing linking pseudonyms based on timing information and offering
increased protection even against honest-but-curious VPKI entities. We propose
multiple policies for the vehicle-VPKI interactions, based on which and two
large-scale mobility trace datasets, we evaluate the full-blown implementation
of SECMACE. With very little attention on the VPKI performance thus far, our
results reveal that modest computing resources can support a large area of
vehicles with very low delays and the most promising policy in terms of privacy
protection can be supported with moderate overhead.Comment: 14 pages, 9 figures, 10 tables, IEEE Transactions on Intelligent
Transportation System
Evaluating On-demand Pseudonym Acquisition Policies in Vehicular Communication Systems
Standardization and harmonization efforts have reached a consensus towards
using a special-purpose Vehicular Public-Key Infrastructure (VPKI) in upcoming
Vehicular Communication (VC) systems. However, there are still several
technical challenges with no conclusive answers; one such an important yet open
challenge is the acquisition of shortterm credentials, pseudonym: how should
each vehicle interact with the VPKI, e.g., how frequently and for how long?
Should each vehicle itself determine the pseudonym lifetime? Answering these
questions is far from trivial. Each choice can affect both the user privacy and
the system performance and possibly, as a result, its security. In this paper,
we make a novel systematic effort to address this multifaceted question. We
craft three generally applicable policies and experimentally evaluate the VPKI
system performance, leveraging two large-scale mobility datasets. We consider
the most promising, in terms of efficiency, pseudonym acquisition policies; we
find that within this class of policies, the most promising policy in terms of
privacy protection can be supported with moderate overhead. Moreover, in all
cases, this work is the first to provide tangible evidence that the
state-of-the-art VPKI can serve sizable areas or domain with modest computing
resources.Comment: 6 pages, 7 figures, IoV-VoI'1
Smart cards: State-of-the-art to future directions
The evolution of smart card technology provides an interesting case study of the relationship and interactions between security and business requirements. This paper maps out the milestones for smart card technology, discussing at each step the opportunities and challenges. The paper reviews recently proposed innovative ownership/management models and the security challenges associated with them. The paper concludes with a discussion of possible future directions for the technology, and the challenges these present
Privacy Preserving Internet Browsers: Forensic Analysis of Browzar
With the advance of technology, Criminal Justice agencies are being
confronted with an increased need to investigate crimes perpetuated partially
or entirely over the Internet. These types of crime are known as cybercrimes.
In order to conceal illegal online activity, criminals often use private
browsing features or browsers designed to provide total browsing privacy. The
use of private browsing is a common challenge faced in for example child
exploitation investigations, which usually originate on the Internet. Although
private browsing features are not designed specifically for criminal activity,
they have become a valuable tool for criminals looking to conceal their online
activity. As such, Technological Crime units often focus their forensic
analysis on thoroughly examining the web history on a computer. Private
browsing features and browsers often require a more in-depth, post mortem
analysis. This often requires the use of multiple tools, as well as different
forensic approaches to uncover incriminating evidence. This evidence may be
required in a court of law, where analysts are often challenged both on their
findings and on the tools and approaches used to recover evidence. However,
there are very few research on evaluating of private browsing in terms of
privacy preserving as well as forensic acquisition and analysis of privacy
preserving internet browsers. Therefore in this chapter, we firstly review the
private mode of popular internet browsers. Next, we describe the forensic
acquisition and analysis of Browzar, a privacy preserving internet browser and
compare it with other popular internet browser
Anonymizing cybersecurity data in critical infrastructures: the CIPSEC approach
Cybersecurity logs are permanently generated by network devices to describe security incidents. With modern computing technology, such logs can be exploited to counter threats in real time or before they gain a foothold. To improve these capabilities, logs are usually shared with external entities. However, since cybersecurity logs might contain sensitive data, serious privacy concerns arise, even more when critical infrastructures (CI), handling strategic data, are involved.
We propose a tool to protect privacy by anonymizing sensitive data included in cybersecurity logs. We implement anonymization mechanisms grouped through the definition of a privacy policy. We adapt said approach to the context of the EU project CIPSEC that builds a unified security framework to orchestrate security products, thus offering better protection to a group of CIs. Since this framework collects and processes security-related data from multiple devices of CIs, our work is devoted to protecting privacy by integrating our anonymization approach.Peer ReviewedPostprint (published version
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