1,720,979 research outputs found
Security Issues and Vulnerability of IoT Devices
No full textThe principle of linking intelligent device to the internet is taken out in the internet of things. This model facilitates the relation across the Cloud between the intellectual real items and the separate contact parties, such as the servers, the cellular devices. Internet of things is entering in all aspects of life including home, industries, medical care, cars, sensors, but the main and very important open challenges in this area is security issues. IoT security is very weak this is due to heterogeneous devices used in this field. Therefore, the expansion of security weak points will bring serious dangers to users’ security, and property. This paper discuss the security aspects in the IoT communication protocols and Security threats of multiple layers dependent on the security concepts of data confidently, data integrity and privacy, it also discusses and investigates the main IoT protocols that used to communicate between IoT based nodes and sensors. Furthermore, vulnerability in different protocols are reviewed and compared
Classified cloning for QoS provisioning in OBS networks
No full textThis thesis investigates the challenges underlying QoS provisioning over OBS networks, considering both absolute and relative cases. Novel QoS provisioning schemes are proposed, and their effectiveness in minimizing loss probability is demonstrated in a range of network scenarios, while either minimizing or maintaining latency. Firstly, the important aspects of optical network evolution are discussed, and justification is provided for the deployment of WDM telecommunication systems in backbone networks. Insight is provided into the contention problem, facilitating the discussion and categorisation of loss reduction mechanisms and how they deal with contention. Our novel scheme for burst loss reduction, referred to as CCS, is then introduced. Comprehensive simulation results are presented which evaluate CCS and compare it to other proposals, demonstrating the superiority of CCS. Furthermore, two novel schemes to improve the quality of streamed video over OBS are introduced. The first of these yields an average PSNR gain over existing proposals of 4.2 dB and 2.4 dB with 10% and 30% network loads respectively. The second scheme is less affected by the increased percentage of video traffic, and an average improvement of 5 dB is obtained in the worst- case scenario with 50% video traffic and medium/high network loads. Finally, the relationship between loss rate, ETE-delay and the aggregation parameters are studied in detail in order to inform the design of a novel absolute QoS provisioning scheme. Adaptive aggregation is combined with admission control at the ingress nodes, together with the CCS scheme, to produce the ACCS scheme, which is evaluated through extensive simulations. It exhibits superior loss rate and maintains acceptable bounds on ETE-delay when compared to CCS, basic cloning, and standard OBS.EThOS - Electronic Theses Online ServiceGBUnited Kingdo
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Machine Learning Powered IoT for Smart Applications
No full textWith the coming of fast advancements, with the assistance of IoT, a great percentage of heterogeneous devices can be connected with each other. The technology with the relationship of different devices through the internet is named the internet of things (IoT), makes a wide number of different characteristics and qualities of data. IoT and Machine learning (ML) guarantees the widespread advancement to grow the insights of the IoT devices and applications. Over the final few years, artificial intelligence and machine learning have advanced very significantly. It allows a machine or system to learn more effectively than people learn on their own. When we learn some kind of system about the concept of our trial or the knowledge obtained after evaluating it. Combining IoT with rapidly advancing ML technologies can make ‘smart machines’ that mimic smart action to do well-informed resolve with little or no human involvement. There are at least two fundamental reasons, why machine learning is a suitable solution for the IoT world? The primary has got to do with the volume of data and the automation openings. The second is related to the prescient investigation. Therefore, this paper focuses on ML in different techniques and different domains that motivate and support IoT applications. Many previous works related to this subject and examples have been addressed, explained in detail. The results showed that ML plays a vital role in monitoring, processing, systematic investigation, and smart use of the expansive measure of data in several fields. It was also beneficial for helping users’ process massive data
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe 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
Survey on Edge Computing Security
No full textIt's possible to explain Edge computing (EC) as a distributed system of IT that decentralized the power of processing in which the mobile Internet of Things (IoT) computing would be allowed. In EC, data processed by local tools, computers, or servers, instead of being process and transmitted from the data center. However, with the wider capabilities of EC by increasing the network performance and reducing the latency, security challenges, and the risks will increase with data being stored and used on these devices on the edge or end of the network. This paper first provides a definition of EC and explain the reasons that led to the rapid spread of this type of computing with an explanation of the most important differences between EC and CC, in terms of the resources available for each type, processing, storage, as well as the privacy and security factor. Later, explaining the uses and benefits of this type of computing. However, the challenges are also taken into consideration, foremost among which is security. Through reviewing a number of previous researches, security challenges have been identified in four main sectors, including data privacy and security, access control, attack mitigation, and detection for anomalies Finally, choosing a set of solutions that were drawn from previous studies and contributed in reducing and limiting these challenges. Hopping this paper sheds light on Edge Computing security and paves the way for more future research
Evaluating the Impact of Network Latency on the Safety of Blockchain Transactions
No full textBlockchain technology has lately become widely regarded, partially because of the surge in cryptocurrencies such as Bitcoin and their ability to be a force for economic and financial shift. While tokenomics also helped push blockchain in mainstream, this technology's strengths are far more than crypt-monetary. Often known as distributed leader technologies, it is hypothesized that blockchain would serve like a catalyst for global disruptions and that blockchain-based applications in many industries such as the supply chain; the medical and legal fields are now being developed and implemented. By simultaneous research, we prove that the six confirms convention is vulnerable to peer-to-peer latency in the network and show just how readily PoW mining is broken. The divergences between these latest blocks open the transactions in question to the possibility that the blockchain fork will not be used. We concentrate on evaluating block detection accuracy and the breach of the six confirmed blockchain agreement
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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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