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Browsing Ph.D. Theses by Author "Anarım, Emin."

Browsing Ph.D. Theses by Author "Anarım, Emin."

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  • DDoS attack detection using signal processing and statistical approaches 
    Erhan, Derya. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    DDoS attacks cause a variety of changes in the properties of the attributes in the network traffic. Modeling these changes using signal processing and statistical ap proaches provides detection of these attacks. This thesis ...
  • Model based multiple audio sequence alignment 
    Başaran, Doğaç. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2015., 2015.)
    It is increasingly more common that an occasion is recorded by multiple individuals with the proliferation of recording devices such as smart phones. When properly aligned, these recordings may provide several audio and ...
  • Novel time-series based DDOS attack detection schemes for traditional networks and software defined networks 
    Fouladi, Ramin Fadaei. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    Distributed Denial of Service (DDoS) attacks are always one of the most signifi cant threats for computer networks since they affect the user satisfaction by degrading the availability of on-line services. Although some ...
  • Security and privacy analysis of authentication protocols in RFID systems 
    Ergüler, İmran. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2011., 2011.)
    Radio Frequency IDentification (RFID) technology continues to flourish as an inherent part of virtually every ubiquitous environment. However, it became clear that the public— implying the industry— seriously needs mechanisms ...
  • Sparse signal recovery from incomplete and perturbed data 
    Şenyuva, Rıfat Volkan. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2016., 2016.)
    Sparse signal recovery consists of algorithms that are able to recover undersampled high dimensional signals accurately. These algorithms require fewer measurements than traditional Shannon/Nyquist sampling theorem demands. ...

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