1,720,956 research outputs found
MBS: Multilevel Blockchain System for IoT
No full textDespite of their increasing popularity, Internet of Things (IoT) platforms are still suffering from major security problems, particularly during communications between the IoT devices. Indeed, these devices are commonly prone to malicious attacks and require prior mutual authentication to guarantee the confidentiality and security of data being shared as well as a proper network operation. In order to deal with this issue, several researchers have proposed the use of the emergent blockchain paradigm, which has emerged as a key technology that will transform the way in which information will be shared. As this paradigm is facing scalability and flexibility problems, the use of multi-agents systems has been adopted in recent works. However, current solutions are using agents for the rudimentary role of data collection only. In this paper, we propose to secure the IoT platform with a multilevel blockchain system (MBS) where the speed and flexibility of blockchain transactions are enforced by mobile agents which are migrating throughout the IoT network. The simulations of our solution through the Hyperledger Fabric are showing relevant results in terms of response time and energy consumption
Empowering Communications in Vehicular Networks with an Intelligent Blockchain-Based Solution
No full textBlockchains have emerged over time as a reliable and secure way to record transactions in an immutable manner in a wide range of application domains. However, current related solutions are not yet capable of appropriately checking the authenticity of data when their volumes are huge. They are not also capable of updating Blockchain data blocks and synchronizing them within reasonable timeframes. This is the case within the specific context of Blockchain vehicular networks, where these solutions are commonly cumbersome when attempting to add new vehicles to the network. In order to address these problems, we propose in this paper a new Blockchain-based solution that intelligently implement selective communication and collaborative endorsement approaches to reduce communications between vehicles. Our solution represents the vehicles of the Blockchain as intelligent software agents with a Belief–Desire–Intention (BDI) architecture. Furthermore, we propose an approach based on multi-endorsement levels to exchange data of varying sensitive categories. This approach, which is based on endorsing scores, is also used to shorten the admission of new vehicles into the Blockchain. We run simulations using the Hyperledger Fabric Blockchain tool. Results show the efficiency of our solution in reducing the processing times of transactions within two different scenarios
Secure and Efficient Blockchain Scheme for the Internet of Bikes
Get PDFBlockchain has recently emerged as an auspicious technology for enabling vulnerable data to be exchanged anonymously and securely within Intelligent Transportation System (ITS). Furthermore, Blockchain can be used as an access control mechanism to present a decentralized solution to the distributed authentication problem in the Internet of Bikes (IoB). Although several Blockchain access control mechanisms have been proposed to address the security concerns in IoB, most of them are still vulnerable to some active attacks, especially the cloning attacks. Therefore, this paper proposes a new Trust-Based Access Control Blockchain System (TBACS) to address the cloning attack based on using a secure Trusted Digital Ticket (DGT). The simulations of our solution through the Hyperledger Fabric are showing relevant results in terms of communication overhead and the detection probability of cloning attacks
ECASS: an encryption compression aggregation security scheme for secure data transmission in ambient assisted living systems
No full textConsiderable efforts are being spent worldwide to ensure comfortable living environments and decent, on-time assistance to elderly and people requiring healthcare services. Recent advances in data acquisition and communication are allowing revolutionary ambient assisted leaving (AAL) systems to be implemented, where healthcare data are collected and reported on-the-fly to dedicated medical servers for further analysis and actions. Due to the increasing rely on distributed, resource constrained sensing devices, AAL systems are being subject to large number of attacks. In addition to usual high energy consumption and communication overhead, current systems are not yet able to fully safeguard the private data of their users. To overcome these shortcomings, we propose in this paper to combine the use of cryptography, compressed sensing, and steganography into a new generic solution called Encryption Compression Aggregation Security Scheme (ECASS). While focusing on the specific case of Medical Healthcare Systems, ECASS aims to secure private data exchanges over wireless networks while achieving lower energy consumption and communication overhead. Our simulations with the NS-2.35 simulator are showing an improvement of 40 and 50% in terms of energy consumption and communication overhead respectively compared to the IBE-Lite security scheme.Mbarek, B (reprint author), German Univ Technol Oman GUtech, Athaibah, Oman.
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Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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