Anlamsal Ağ uygulaması: Ontolojide odaklı yemek tarifi sorgulaması

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2005

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Software Engineering
(2005)
Department of Software Engineering was founded in 2005 as the first department in Ankara in Software Engineering. The recent developments in current technologies such as Artificial Intelligence, Machine Learning, Big Data, and Blockchains, have placed Software Engineering among the top professions of today, and the future. The academic and research activities in the department are pursued with qualified faculty at Undergraduate, Graduate and Doctorate Degree levels. Our University is one of the two universities offering a Doctorate-level program in this field. In addition to focusing on the basic phases of software (analysis, design, development, testing) and relevant methodologies in detail, our department offers education in various areas of expertise, such as Object-oriented Analysis and Design, Human-Computer Interaction, Software Quality Assurance, Software Requirement Engineering, Software Design and Architecture, Software Project Management, Software Testing and Model-Driven Software Development. The curriculum of our Department is catered to graduate individuals who are prepared to take part in any phase of software development of large-scale software in line with the requirements of the software sector. Department of Software Engineering is accredited by MÜDEK (Association for Evaluation and Accreditation of Engineering Programs) until September 30th, 2021, and has been granted the EUR-ACE label that is valid in Europe. This label provides our graduates with a vital head-start to be admitted to graduate-level programs, and into working environments in European Union countries. The Big Data and Cloud Computing Laboratory, as well as MobiLab where mobile applications are developed, SimLAB, the simulation laboratory for Medical Computing, and software education laboratories of the department are equipped with various software tools and hardware to enable our students to use state-of-the-art software technologies. Our graduates are employed in software and R&D companies (Technoparks), national/international institutions developing or utilizing software technologies (such as banks, healthcare institutions, the Information Technologies departments of private and public institutions, telecommunication companies, TÜİK, SPK, BDDK, EPDK, RK, or universities), and research institutions such TÜBİTAK.

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ÖZET DİL İSTATİSTİKLERİ KULLANILARAK SÜTUN YERDEĞİŞTİRMELİ ŞİFRELEME ÇÖZÜMLEMESİ YILMAZ, Evren Gökhan Yüksek Lisans Bitirme Projesi, Uluslararası Bilgisayar Enstitüsü, Bitirme Proje Yöneticisi: Prof. Dr. Mehmet Emin DALKILIÇ Eylül 2004, 30 sayfa Bu projede, sütun yerdeğiştirmeli şifreleme yöntemi ile şifrelenmiş metnin, o metine kaynak olan dilin üciti harf istatistikleri kullanılarak çözümlemesi mcelenmiştir. Şifreli metinlerin çözümlenmesi için mevcut yöntemler incelenmiş, geliştirilen algoritmalar bilgisayar ortamında programlanmış ve kullanıcı etkileşimi ile güçlendirilmiştir. Proje kapsamında kaynak dil olarak Türkçe ve İngilizce kullanılmıştır. Geliştirilen program, metin uzunluğu 50-500, anahtar uzunluğu 5-16 karakter arasında değişen 40 İngilizce ve 40 Türkçe şifreli metnin üzerinde test edilmiş, İngilizce için % 97.5 ve Türkçe için % 97.5 başaran elde edilmiştir. Yine dil istatistiklerinden ve elde edilen test sonuçlarından yararlanılarak, yerdeğiştirmeli şifreleme çözümlemesi için otomatik olarak anahtar uzunluğu tahmin eden bir algoritma geliştirilmiş ve programa entegre edilmiştir. Anahtar Kelimeler: Sütun yerdeğiştirmeli şifreleme yöteminin çözümlemesi, dil istatistikleri, ikili harf sıklık bilgileri, otomatik anahtar uzunluğu tahmini.
vn ABSTRACT CRYPTANALYSIS OF COLUMNAR TRANSPOSITION BY USING LANGUAGE STATISTICS YILMAZ, Evren Gökhan MSc. Graduation Project, International Computer Institute, Supervisor: Prof. Dr. Mehmet Emin DALKILIÇ September 2004, 30 pages In this project, the cryptanalysis of columnar transposition cipher has been examined. To break cipher text, the digraphs (the frequency values of two letter combinations) of the language which is the source of the cipher text are used. The existing analysis methods are examined, algorithms are programmed on a computer platform and empowered with user interaction. In the project scope, Turkish and English languages are used as source languages. The program developed has been tested with 40 English and 40 Turkish cipher texts whose lengths are from 50 to 500 and whose keys lengths are from 5 to 16 characters. For English 97.5 % success and for Turkish 97.5 % success ratios are obtained. By using language statistics and test results of our program, an automatic key length determining algorithm for transposition cipher cryptanalysis has been developed and integrated into program. Keywords: Columnar transposition cryptanalysis, language statistics, digraph frequencies, automatic key length detection.

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Bilgisayar Mühendisliği Bilimleri-Bilgisayar ve Kontrol, Computer Engineering and Computer Science and Control

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102

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https://hdl.handle.net/20.500.14411/4941

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Master Tezler / Master Thesis