1,720,953 research outputs found
Prevenirea atacurilor asupra dispozitivelor IoT
No full textFişierul ataşat conţine: Rezumat, Abstract, Cuprins, Introducere, Bibliografie.În era digitală actuală, proliferarea dispozitivelor Internet of Things (IoT) a creat un ecosistem complex și interconectat, aducând atât oportunități remarcabile, cât și provocări semnificative în domeniul securității cibernetice. Această lucrare se concentrează pe explorarea și modelarea atacurilor asupra dispozitivelor IoT prin utilizarea sistemelor neuronale AI și a agenților AI, oferind o perspectivă inovatoare asupra vulnerabilităților și strategiilor de securitate în contextul IoT. Cercetarea abordează problematica din perspectiva dublă a atacatorului și a apărării, utilizând inteligența artificială ca instrument principal pentru simularea, analiza și prevenirea potențialelor amenințări cibernetice. Prin implementarea sistemelor neuronale avansate, studiul analizează patterns-urile complexe ale traficului de date și comportamentul dispozitivelor IoT, permițând identificarea anomaliilor și a potențialelor breșe de securitate înainte ca acestea să fie exploatate în atacuri reale. Agenții AI autonomi sunt utilizați pentru a simula diverse scenarii de atac, testând reziliența sistemelor IoT și identificând punctele vulnerabile care necesită consolidare. Această abordare permite dezvoltarea unor strategii de securitate mai eficiente și adaptabile, capabile să evolueze în paralel cu amenințările emergente. Metodologia cercetării implică crearea unor medii de testare controlate, unde diverse tipuri de dispozitive IoT sunt supuse unei game largi de atacuri simulate, de la simple tentative de compromitere până la scenarii complexe de atac distribuit. Rezultatele acestor simulări sunt analizate utilizând algoritmi avansați de machine learning, permițând identificarea pattern-urilor comune în atacurile reușite și dezvoltarea unor contramăsuri eficiente. Un accent deosebit este pus pe studiul atacurilor care exploatează vulnerabilitățile specifice arhitecturii IoT, cum ar fi resursele limitate ale dispozitivelor, protocoalele de comunicare nesecurizate sau configurațiile implicite slabe. Prin înțelegerea aprofundată a acestor vulnerabilități, cercetarea contribuie la dezvoltarea unor practici de securitate mai robuste și a unor standarde îmbunătățite pentru dispozitivele IoT. Utilizarea sistemelor neuronale AI în modelarea atacurilor permite, de asemenea, predicția și anticiparea unor potențiale vectori de atac care nu au fost încă observați în mediul real, oferind astfel un avantaj proactiv în lupta împotriva amenințărilor cibernetice. Implementarea agenților AI autonomi în acest context deschide noi perspective în testarea automată a securității și în dezvoltarea unor sisteme de apărare adaptive, capabile să răspundă în timp real la amenințările emergente. Rezultatele acestei cercetări au implicații semnificative atât pentru producătorii de dispozitive IoT, cât și pentru experții în securitate cibernetică, oferind insights valoroase pentru îmbunătățirea securității ecosistemului IoT în ansamblu. Prin combinarea expertizei în domeniul IoT cu cele mai recente avansări în inteligența artificială și securitatea cibernetică, această lucrare contribuie la dezvoltarea unor strategii de securitate mai eficiente și la crearea unui internet al lucrurilor mai sigur și mai
rezistent la atacuri.In the current digital era, the proliferation of Internet of Things (IoT) devices has created a complex and interconnected ecosystem, bringing both remarkable opportunities and significant challenges in cybersecurity. This research focuses on exploring and modeling attacks on IoT devices using AI neural systems and AI agents, providing an innovative perspective on vulnerabilities and security strategies in the IoT context. The research approaches the issue from both attacker and defense perspectives, using artificial intelligence as the primary tool for simulating, analyzing, and preventing potential cyber threats. Through the implementation of advanced neural systems, the study analyzes complex patterns of data traffic and IoT device behavior, enabling the identification of anomalies and potential security breaches before they are exploited in real attacks. Autonomous AI agents are used to simulate various attack scenarios, testing IoT systems' resilience and identifying vulnerable points requiring reinforcement. This approach enables the development of more efficient and adaptable security strategies capable of evolving alongside emerging threats. The research methodology involves creating controlled testing environments where various IoT devices are subjected to a wide range of simulated attacks, from simple compromise attempts to complex distributed attack scenarios. The results of these simulations are analyzed using advanced machine learning algorithms, allowing the identification of common patterns in successful attacks and the development of effective countermeasures. Special emphasis is placed on studying attacks that exploit IoT architecture-specific vulnerabilities, such as limited device resources, unsecured communication protocols, or weak default configurations. Through deep understanding of these vulnerabilities, the research contributes to developing more robust security practices and improved standards for IoT devices. The use of AI neural systems in attack modeling also allows the prediction and anticipation of potential attack vectors not yet observed in the real environment, thus providing a proactive advantage in the fight against cyber threats. The implementation of autonomous AI agents in this context opens new perspectives in automated security testing and the development of adaptive defense systems capable of responding in real-time to emerging threats. The results of this research have significant implications for both IoT device manufacturers and cybersecurity experts, providing valuable insights for improving the security of the IoT ecosystem as a whole. By combining expertise in IoT with the latest advances in artificial intelligence and cybersecurity, this work contributes to developing more effective security strategies and creating a safer and more attack-resistant Internet of Things
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
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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
Author Under Sail The Imagination of Jack London, 1893-1902
No full textIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Intro -- Title Page -- Copyright Page -- Dedication -- Contents -- Acknowledgments -- Introduction -- 1. Spirit Truth -- 2. From Absorption to Theatricality and Back Again -- 3. "I Will Build a New Present" -- 4. Sons as Authors -- 5. Fathers as Publishers -- 6. The Daughter as Author -- 7. Lovers as Authors -- 8. At Sea with the Family -- 9. Yellow News, Yellow Stories -- 10. The Return Home -- Notes -- Bibliography -- Index -- About Jay WilliamsIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Description based on publisher supplied metadata and other sources.Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, YYYY. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries
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