Can NSEC5 be practical for DNSSEC deployments?

NSEC5 is proposed modification to DNSSEC that simultaneously guarantees two security properties: (1) privacy against offline zone enumeration, and (2) integrity of zone contents, even if an adversary compromises the authoritative nameserver responsible for responding to DNS queries for the zone. This paper redesigns NSEC5 to make it both practical and performant. Our NSEC5 redesign features a new fast verifiable random function (VRF) based on elliptic curve cryptography (ECC), along with a cryptographic proof of its security. This VRF is also of independent interest, as it is being standardized by the IETF and being used by several other projects. We show how to integrate NSEC5 using our ECC-based VRF into the DNSSEC protocol, leveraging precomputation to improve performance and DNS protocol-level optimizations to shorten responses. Next, we present the first full-fledged implementation of NSEC5—extending widely-used DNS software to present a nameserver and recursive resolver that support NSEC5—and evaluate their performance under aggressive DNS query loads. Our performance results indicate that our redesigned NSEC5 can be viable even for high-throughput scenarioshttps://eprint.iacr.org/2017/099.pdfFirst author draf

Keyword based categorisation of diary entries to support personal Internet content pre-caching on mobile devices

This paper presents a study into the effectiveness of our algorithm for automatic categorisation of real users' diary entries, as a first step towards personal Internet content pre-caching on mobile devices. The study reports an experiment comparing trial subjects allocations of 99 diary entries to those predicted by a keyword-based algorithm. While leaving considerable grounds for improvement, results are positive and show pave the way for supporting mobile services based on categorising users' diary entries

PInCom project: SaaS Big Data Platform for and Communication Channels

The problem of optimization will be addressed in this article, based on the premise that the successful implementation of Big Data solutions requires as a determining factor not only effective -it is assumed- but the efficiency of the responsiveness of management information get the best value offered by the digital and technological environment for gaining knowledge. In adopting Big Data strategies should be identified storage technologies and appropriate extraction to enable professionals and companies from different sectors to realize the full potential of the data. A success story is the solution PInCom: Intelligent-Communications Platform that aims customer loyalty by sending multimedia communications across heterogeneous transmission channels

ReFIoV: a novel reputation framework for information-centric vehicular applications

In this article, a novel reputation framework for information-centric vehicular applications leveraging on machine learning and the artificial immune system (AIS), also known as ReFIoV, is proposed. Specifically, Bayesian learning and classification allow each node to learn as newly observed data of the behavior of other nodes become available and hence classify these nodes, meanwhile, the K-Means clustering algorithm allows to integrate recommendations from other nodes even if they behave in an unpredictable manner. AIS is used to enhance misbehavior detection. The proposed ReFIoV can be implemented in a distributed manner as each node decides with whom to interact. It provides incentives for nodes to cache and forward others’ mobile data as well as achieves robustness against false accusations and praise. The performance evaluation shows that ReFIoV outperforms state-of-the-art reputation systems for the metrics considered. That is, it presents a very low number of misbehaving nodes incorrectly classified in comparison to another reputation scheme. The proposed AIS mechanism presents a low overhead. The incorporation of recommendations enabled the framework to reduce even further detection time

Evidence of Agrarian Urbanism: Land Use Preferences of Residents Living on Small Acreage Farms or Large Lots with Animal Rights in Cache Valley, Utah

Until the last half century, land development patterns in the Intermountain West were designed after the Mormon settlement pattern. With its gridiron streets and in-town farmsteads, this pattern gave families the opportunity to grow crops and raise a few animals on their one acre or less in town with the added advantage of having a social life. Over the last century, small farms have dwindled and large farms have increased in size. However, in the Intermountain West the farmstead tradition continues with families who grow gardens and raise animals on their large city lots, who value self-sufficiency, and who thrive in wide open spaces. To better understand the land uses and preferences of this population, a research survey was mailed to a sample pool of residents of Cache Valley, Utah who live on large lots with animal rights. They contributed an array of data about their backgrounds and how they are specifically using their land. Their responses validated the existence of a continued agrarian culture and gave insight on how they felt about trends in conservation subdivisions and common open space. A range of opinions about ideal lot size supported rural planners\u27 suggestions to develop lots of varying sizes to meet the needs of a diverse population. Small farms on large lots can be a valuable part of a sustainable urban and rural environment. Local vegetables and agricultural products bring nature and natural processes back to an urban setting and reduce the environmental footprint imposed by extensive shipping. Culturally, small farmers provide a connection to the past and fulfill a lifestyle choice for a rural-minded population. Particularly in the Intermountain West, planners need to integrate these small farms into their developments to preserve the rural character of towns and cities of the region