1,721,013 research outputs found
IoT-deNAT: Outbound flow-based network traffic data of IoT and non-IoT devices behind a home NAT
No full textThis dataset is comprised of NetFlow records, which capture the outbound network traffic of 8 commercial IoT devices and 5 non-IoT devices, collected during a period of 37 days in a lab at Ben-Gurion University of The Negev. The dataset was collected in order to develop a method for telecommunication providers to detect vulnerable IoT models behind home NATs. Each NetFlow record is labeled with the device model which produced it; for research reproducibilty, each NetFlow is also allocated to either the "training" or "test" set, in accordance with the partitioning described in:
Y. Meidan, V. Sachidananda, H. Peng, R. Sagron, Y. Elovici, and A. Shabtai, A novel approach for detecting vulnerable IoT devices connected behind a home NAT, Computers & Security, Volume 97, 2020, 101968, ISSN 0167-4048, https://doi.org/10.1016/j.cose.2020.101968. (http://www.sciencedirect.com/science/article/pii/S0167404820302418)
Please note:
The dataset itself is free to use, however users are requested to cite the above-mentioned paper, which describes in detail the research objectives as well as the data collection, preparation and analysis.
Following is a brief description of the features used in this dataset.
# NetFlow features, used in the related paper for analysis
'FIRST_SWITCHED': System uptime at which the first packet of this flow was switched
'IN_BYTES': Incoming counter for the number of bytes associated with an IP Flow
'IN_PKTS': Incoming counter for the number of packets associated with an IP Flow
'IPV4_DST_ADDR': IPv4 destination address
'L4_DST_PORT': TCP/UDP destination port number
'L4_SRC_PORT': TCP/UDP source port number
'LAST_SWITCHED': System uptime at which the last packet of this flow was switched
'PROTOCOL': IP protocol byte (6: TCP, 17: UDP)
'SRC_TOS': Type of Service byte setting when there is an incoming interface
'TCP_FLAGS': Cumulative of all the TCP flags seen for this flow
# Features added by the authors
'IP': Prefix of the destination IP address, representing the network (without the host)
'DURATION': Time (seconds) between first/last packet switching
# Label
'device_model': ..
# Partition
'partition': Training or test
# Additional NetFlow features (mostly zero-variance)
'SRC_AS': Source BGP autonomous system number
'DST_AS': Destination BGP autonomous system number
'INPUT_SNMP': Input interface index
'OUTPUT_SNMP': Output interface index
'IPV4_SRC_ADDR': IPv4 source address
'MAC': MAC address of the source
# Additional data
'category': IoT or non-IoT
'type': IoT, access_point, smartphone, laptop
'date': Datepart of FIRST_SWITCHED
'inter_arrival_time': Time (seconds) between successive flows of the same device (identified by its MAC address
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
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
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A Decision-Theoretic Approach to Data Mining
No full textIn this paper, we develop a decision-theoretic framework for evaluating data mining systems, which employ classification methods, in terms of their utility in decision-making. The decision-theoretic model provides an economic perspective on the value of â extracted knowledge,â in terms of its payoff to the organization, and suggests a wide range of decision problems that arise from this point of view. The relation between the quality of a data mining system and the amount of investment that the decision maker is willing to make is formalized. We propose two ways by which independent data mining systems can be combined and show that the combined data mining system can be used in the decision-making process of the organization to increase payoff. Examples are provided to illustrate the various concepts, and several ways by which the proposed framework can be extended are discussed
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Sicherheitsempfinden und Nutzung einer mobilen Bezahl-App
No full textDie vorliegende Arbeit präsentiert eine umfassende experimentelle Untersuchung des subjektiven Sicherheitsempfindens der Nutzer und der Nutzungshäufigkeit einer Smartphone-basierten Mobile Payment App. Bisherige Forschungen arbeiten in erster Linie mit Umfragen, um Einstellungen zum mobilen Bezahlen bei potentiellen Nutzern zu erheben. Dabei wird nicht deutlich wie sich Nutzer mit einer realen App auseinandersetzen würden und wie diese im Vergleich zu vorhandenen Bezahlmethoden wie Bargeld und Bezahlkarte genutzt würde.
Der Aufbau der Experimente basiert auf einer für diesen Zweck entwickelten, generalisierbaren Taxonomie im Bereich Usable Security. Fünf Experimentreihen wurden durchgeführt, bei denen Teilnehmer ein Einkaufserlebnis durchliefen. Dabei wurde die Sicherheitsmethode der Mobile Payment App variiert (keine Sicherheit, PIN, Fingerabdruckerkennung) und „Angriffe“ auf die Bezahlmethode simuliert. Des Weiteren wurden wichtige Persönlichkeitsmerkmale mittels etablierter Fragebögen ermittelt. In den Ergebnissen der Experimente wurden relevante Faktoren aufbereitet, die einen Einfluss auf Sicherheitsempfinden und Nutzungshäufigkeit erkennen lassen. Es wurde gezeigt, bis zu welchem Grad die persönlichen Eigenschaften der Nutzer und externe Faktoren mit dem Sicherheitsempfinden und der Nutzungshäufigkeit in Zusammenhang stehen.
In weiteren Schritten wurden Sicherheitsempfinden und Nutzungshäufigkeit modelliert sowie eine Klassifikation für die Unterscheidung in komfortable/unkomfortable Sicherheitsmethoden für die Nutzungshäufigkeit und mit/ohne Sicherheitsmethode für das Sicherheitsempfinden entwickelt. Abschließend wurden die Modelle in das Tool MeMo für die Simulation von Nutzerverhalten als proof-of-concept eingebracht. Insgesamt konnte gezeigt werden, dass Persönlichkeitsmerkmale einen moderaten Effekt auf das Sicherheitsempfindens und die Nutzungshäufigkeit haben. Preis, Einkaufsumgebung und Angriffe weisen ebenfalls Einflüsse auf. Die eingesetzten Sicherheitsmethoden zeigen signifikante Unterschiede in der Bewertung und der Nutzung der App.This work presents a comprehensive experimental study of users’ perceived security and frequency of use of a smartphone-based mobile payment app. Previous research work relied primarily on surveys to collect data of potential users’ expectations of and attitude towards mobile payment. It remained sketchy how users would react using a real app, and how mobile payment would be used in comparison with existing payment methods such as cash and payment cards.
The design of the experiments was based on a generalizable taxonomy built for the purpose of use within the field of usable security. Five sets of experiments were conducted in which participants took part in a shopping experience. The security method used with the mobile payment app was varied (no security, PIN, fingerprint recognition) and "attacks" were simulated on the payment methods. Furthermore, important personality traits were determined by established questionnaires. The results of the experiments revealed relevant factors, which show an impact on perceived security and usage. It could be shown to what extent personality traits and other external factors are related to perceived security and usage.
Additionally, perceived security and usage were modeled and two classificators were developed to distinguish between convenient and inconvenient security methods (for usage), and apps with and without security methods (for perceived security).
Finally, the models were incorporated as a proof-of-concept into the tool MeMo for the simulation of user behavior. Overall, it was shown that personality traits have a moderate effect on perceived security and usage. Price, shopping environment, and attacks are also influential. Different security methods showed significant differences in evaluation and use of the app
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