1,720,989 research outputs found
Shadow AI: Cyber Security Implications, Opportunities and Challenges in the Unseen Frontier
Get PDFThe progression of artificial intelligence (AI) technologies has reached a level that greatly enhances the different organizational sectors by facilitating them with the means to advance and improve systems and processes. Shadow AI implies the usage of AI tools and systems by individuals within an entity, respectively, without permission thereby implying that these tools were not directly monitored or controlled by the centralized IT or security department. It also contributes to significant cyber risks such as data and security breaches, abuse of compliance, and, in general, an increased threat landscape. This paper highlights into the emerging global security trends and Shadow AI while also covering the unique positioning within the threat landscape concerning unauthorized computation of sensitive data, safety vulnerabilities of the unmonitored AI models, and model poisoning alongside data leakage-marked out. Moreover, this paper covers how Shadow AI distracts the attack landscape while increasing the level of security problem for the organization. Shadow AI, however, can be employed to increase the ability to respond to threats, locate irregularities, and increase the range of options available for cyber solutions even with all its risks
Towards efficient and lightweight security architecture for big sensing data streams
Get PDFUniversity of Technology Sydney. Faculty of Engineering and Information Technology.A large number of mission critical applications from disaster management to health monitoring are contributing to the Internet of Things (IoT) by deploying a number of smart sensing devices in a heterogeneous environment. Resource constrained sensing devices are being used widely to build and deploy self-organising wireless sensor networks for a variety of critical applications. Many such devices sense the deployed environment and generate a variety of data and send them to the server for analysis as data streams. The key requirement of such applications is the need for near real-time stream data processing in large scale sensing networks. This trend gives birth to an area called big sensing data streams. One of the key problems in big data is to ensure end-to-end security where a Data Stream Manager (DSM) must always verify the security of the data before executing a query to ensure data security (i.e., confidentiality, integrity, authenticity, availability and freshness) as the medium of communication is untrusted. A malicious adversary may access or tamper with the data in transit. One of the challenging tasks in such applications is to ensure the trustworthiness of collected data so that any decisions are made on the correct data, followed by protecting the data streams from information leakage and unauthorised access. This thesis considers end-to-end means from source sensors to cloud data centre. Although some security issues are not new, the situation is aggravated due to the features of the five Vs of big sensing data streams: Volume, Velocity, Variety, Veracity and Value. Therefore, it is still a significant challenge to achieve data security in big sensing data streams. Providing data security for big sensing data streams in the context of near real time analytics is a challenging problem.
This thesis mainly investigates the problems and security issues of big sensing data streams from the perspectives of efficient and lightweight processing. The big data streams computing advantages including real-time processing in efficient and lightweight fashion are exploited to address the problem, aiming at gaining high scalability and effectiveness. Specifically, the thesis examines three major properties in the lifecycle of security in big data streams environments. The three properties include authenticity, integrity and confidentiality also known as the AIC triad, which is different to CIA triad used in general data security. Accordingly, a lightweight security framework is proposed to maintain data integrity and a selective encryption technique to maintain data confidentiality over big sensing data streams. These solutions provide data security from source sensing devices to the processing layer of cloud data centre. The thesis also explore a further proposal on a lattice based information flow control model to protect data against information leakage and unauthorised access after performing the security verification at DSM. By integrating the access control model, this thesis provides an end-to-end security of big sensing data streams i.e. source sensing device to the cloud data centre processing layer. This thesis demonstrates that our solutions not only strengthen the data security but also significantly improve the performance and efficiency of big sensing data streams compared with existing approaches
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
Secure data collection and critical data transmission technique in mobile sink wireless sensor networks
Get PDFIn Mobile sink wireless sensor networks (MSWSN) Sensor nodes are low cost tiny devices with limited storage,computational capability and power except the sink node. Mobile sink has no resource limitation. It has wide range of application in the real world problem like military and civilian domain etc. The nodes in the network are unattended and unprotected so energy efficient and security are two major issues of sensor network. The sensors have limited battery power and low computational capability, requires a security mechanism that must be energy efficient. In this proposed system model mobile sink traverse the network to collect the data. Here we proposed energy efficient secure data collection techniques with mobile sink wireless sensor networks based on symmetric key cryptography. In proposed data collection technique mobile sink traverse network and collect data from one hop neighbors. Proposed cryptosystem is time based as after each fixed amount of time sink generates a large prime number. Using the prime number all nodes in the network update their key to avoid replay attack keep. Data collection MSWSN is three step process. At each new position mobile sink broadcast a beacon frame to alert the static sensors about its presence, secondly sensors send their sensed data towards sink node and finaly mobile sink broad cast another beacon frame to stop the data transmission by sensors. Sensor authenticate the mobile sink with the shared key concept, if it finds that sink is the legitimate node then sensor encrypt their data and transmit it to the sink. A static sensor sense some critical information and sink is not within its range, that that time sensor needs to transmit its data towards sink immediately. It cannot wait till sink come to its range. For that we proved an existing protocol Sensor Protocol for Information via Negation (SPIN) is efficient for critical data transmission to the mobile sink. Then we make it as the secured protocol by using symmetric key cryptography. Here we use the previous assumption to make it as the secure protocol. All the simulation has been carried out with NS 2.34. This thesis is supported bythe literature survey in the area of Mobile Sink Wireless Sensor Networks to make it complete
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
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
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