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Bilgisayar ağlarında gerçek zamanlı makine öğrenimi anomali tespiti
Get PDFIn the rapidly evolving digital world, the need for advanced security measures to protect our data has steadily increased. The growing cyber threats have made it essential to develop sophisticated Intrusion Detection Systems (IDS) that can adapt to modern network environments. In this thesis, to address this need, a system that detects malicious traffic by analyzing network traffic flows using deep learning methods is proposed. Various datasets that could be used for system development were examined, and the CICIDS2017 dataset, which stands out in terms of relevance and scope, was chosen. The CICIDS2017 dataset contains a total of 15 classes, one representing normal network traffic and the others representing different types of attacks. Training the deep learning model with a consistent and balanced dataset directly impacts system performance. Therefore, pre-processing steps such as removing missing or redundant data, eliminating irrelevant features, and balancing the number of examples in different classes were performed. Dense Neural Networks (DNN) and Random Forest (RF), methods commonly used in similar studies, were selected for the proposed model. The models developed could detect network traffic involving different types of attacks with an average accuracy of 98.5%. The main goal of this study is to detect attacks on the network. Accordingly, a version of the dataset consisting of two classes—normal network traffic and attack traffic—was created. Using this dataset, another system was developed that could detect malicious traffic with 98.8% accuracy. The systems developed in this thesis aim to detect attacks in real-time within a network. Therefore, after optimizing performance through experiments with different parameters, the models were tested in a real network environment using the NVIDIA Jetson AGX Orin embedded system. For the sustainability of the developed system, training with current network traffic and attacks is also essential. In this regard, the training of the models on the embedded system was analyzed in terms of time and performance.Hızla gelişen dijital dünyada, verilerimizi korumak için gelişmiş güvenlik önlemlerine duyulan ihtiyacı giderek artırdı. Artan siber tehditler, modern ağ ortamlarına uyum sağlayabilen sofistike Saldırı Tespit Sistemlerinin (Intrusion Detection System, IDS) geliştirilmesini zorunlu hale getirmiştir. Tez kapsamında bu ihtiyacı karşılamak amacıyla ağ içerisindeki trafik akışlarının derin öğrenme yöntemleri ile incelenerek zararlı trafiğin tespit edildiği bir sistem önerilmiştir. Sistemin geliştirilmesi için kullanılabilecek çeşitli veri setleri incelenmiş ve güncellik ve kasam acısından öne çıkan CICIDS2017 veri setinin kullanılması tercih edilmiştir. CICIDS2017 veri seti içerisinde biri normal ağ trafiğine diğeri ise farklı tipteki saldırılara ait olmak üzere toplam 15 adet sınıf bulunmaktadır. Oluşturulacak derin öğrenme modelinin tutarlı ve dengeli bir veri seti ile eğitilmesi Sistem başarımı üzerinde doğrudan etkilidir. Bu nedenle veri seti üzerinde eksik veya tekrarlı verinin silinmesi, önemsiz özelliklerin çıkarılması, farklı sınıflardaki örnek sayısının dengelenmesi gibi ön işlemler gerçekleştirilmiştir. Oluşturulacak model için benzer çalışmalarda yaygın şekilde kullanılan Yoğun Sinir Ağları (Dense Neural Network, DNN) ve Rastgele Orman (Random Forest, RF) yöntemlerinin kullanılması tercih edilmiştir. Oluşturulan modeller ile farklı saldırı tiplerine ait ağ trafiği ortalama olarak %98.5 başarım ile tespit edilebilmektedir. Çalışma kapsamında temel hedef ağ üzerindeki saldırıların tespit edilmesidir. Buna bağlı olarak veri setinin normal ağ trafiği ve saldırı trafiği olmak üzere iki sınıftan oluşan bir versiyonu oluşturulmuştur. Bu veri seti üzerinde yapılan çalışmalar ile zararlı trafiğin %98.8 ile tespit edilebildiği bir sistem daha ortaya konmuştur. Tez kapsamında geliştirilen sistemlerin bir ağ içerisindeki saldırıları gerçek zamanlı olarak tespit edilebilmesi hedeflenmektedir. Bu sebeple farklı parametreleri üzerinde yapılan denemeler sonrasında performansı optimize edilen modeller, NVIDIA Jetson AGX Orin gömülü sistemi üzerinde ve gerçek ağ ortamında test edilmiştir. Geliştirilen sistemin devamlılığı açısından güncel ağ trafiği ve saldırılar ile eğitilmesi de önemlidir. Bu kapsamda geliştirilen modellerin gömülü sistem üzerindeki eğitimleri de zaman ve performans açısından incelenmiştir
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
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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