851 research outputs found
Building Secure and Anonymous Communication Channel: Formal Model and its Prototype Implementation
Various techniques need to be combined to realize anonymously authenticated
communication. Cryptographic tools enable anonymous user authentication while
anonymous communication protocols hide users' IP addresses from service
providers. One simple approach for realizing anonymously authenticated
communication is their simple combination, but this gives rise to another
issue; how to build a secure channel. The current public key infrastructure
cannot be used since the user's public key identifies the user. To cope with
this issue, we propose a protocol that uses identity-based encryption for
packet encryption without sacrificing anonymity, and group signature for
anonymous user authentication. Communications in the protocol take place
through proxy entities that conceal users' IP addresses from service providers.
The underlying group signature is customized to meet our objective and improve
its efficiency. We also introduce a proof-of-concept implementation to
demonstrate the protocol's feasibility. We compare its performance to SSL
communication and demonstrate its practicality, and conclude that the protocol
realizes secure, anonymous, and authenticated communication between users and
service providers with practical performance.Comment: This is a preprint version of our paper presented in SAC'14, March
24-28, 2014, Gyeongju, Korea. ACMSAC 201
InShopnito: an advanced yet privacy-friendly mobile shopping application
Mobile Shopping Applications (MSAs) are rapidly gaining popularity. They enhance the shopping experience, by offering customized recommendations or incorporating customer loyalty programs. Although MSAs are quite effective at attracting new customers and binding existing ones to a retailer's services, existing MSAs have several shortcomings. The data collection practices involved in MSAs and the lack of transparency thereof are important concerns for many customers. This paper presents inShopnito, a privacy-preserving mobile shopping application. All transactions made in inShopnito are unlinkable and anonymous. However, the system still offers the expected features from a modern MSA. Customers can take part in loyalty programs and earn or spend loyalty points and electronic vouchers. Furthermore, the MSA can suggest personalized recommendations even though the retailer cannot construct rich customer profiles. These profiles are managed on the smartphone and can be partially disclosed in order to get better, customized recommendations. Finally, we present an implementation called inShopnito, of which the security and performance is analyzed. In doing so, we show that it is possible to have a privacy-preserving MSA without having to sacrifice practicality
Authenticated wireless roaming via tunnels : making mobile guests feel at home
In wireless roaming a mobile device obtains a service from some foreign network while being registered for the similar service at its own home network. However, recent proposals try to keep the service provider role behind the home network and let the foreign network create a tunnel connection through which all service requests of the mobile device are sent to and answered directly by the home network. Such Wireless Roaming via Tunnels (WRT) others several (security) benefits but states also new security challenges on authentication and key establishment, as the goal is not only to protect the end-to-end communication between the tunnel peers but also the tunnel itself. In this paper we formally specify mutual authentication and key establishment goals for WRT and propose an efficient and provably secure protocol that can be used to secure such roaming session. Additionally, we describe some modular protocol extensions to address resistance against DoS attacks, anonymity of the mobile device and unlinkability of its roaming sessions, as well as the accounting claims of the foreign network in commercial scenarios
The Evolution of Embedding Metadata in Blockchain Transactions
The use of blockchains is growing every day, and their utility has greatly
expanded from sending and receiving crypto-coins to smart-contracts and
decentralized autonomous organizations. Modern blockchains underpin a variety
of applications: from designing a global identity to improving satellite
connectivity. In our research we look at the ability of blockchains to store
metadata in an increasing volume of transactions and with evolving focus of
utilization. We further show that basic approaches to improving blockchain
privacy also rely on embedding metadata. This paper identifies and classifies
real-life blockchain transactions embedding metadata of a number of major
protocols running essentially over the bitcoin blockchain. The empirical
analysis here presents the evolution of metadata utilization in the recent
years, and the discussion suggests steps towards preventing criminal use.
Metadata are relevant to any blockchain, and our analysis considers primarily
bitcoin as a case study. The paper concludes that simultaneously with both
expanding legitimate utilization of embedded metadata and expanding blockchain
functionality, the applied research on improving anonymity and security must
also attempt to protect against blockchain abuse.Comment: 9 pages, 6 figures, 1 table, 2018 International Joint Conference on
Neural Network
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