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EU Funding for Full-time Msc/Phd Positions in Cognitive Robotics and Robot Learning
Project name: IMAGINE: Robots Understanding Their Actions by Imagining Their Read more...
New Horizon2020 Project AffecTech: Personal Technologies for Affective Health
European Funding for 2 Full-Time PhD Positions in the H2020 project “AffecTech Read more...
"Open Lectures" from Boğaziçi University
Boğaziçi University starts lectures on various scientific issues open to all Read more...
Senior Projects
Our senior students have completed their CMPE 491 Graduation project Read more...

CmpE Events

Today

  1. Nadin Kokciyan PhD Thesis Defense: Privacy Management in Online Social Networks
    • Start time: 10:00am, Tuesday, May 23rd
    • End time: 12:00pm, Tuesday, May 23rd
    • Where: AVS
    • PhD Thesis Defense

      Privacy Management in Online Social Networks
      by
      Nadin Kokciyan

      Date and Place: May 23rd, Tuesday 10:00 AVS

      All interested are cordially invited.

      Abstract:

      People are willing to share their personal information in social
      networks. The users are allowed to create and share content about
      themselves and others. When multiple entities start distributing
      content without a control, information can reach unintended individuals
      and inference can reveal more information about the user. This thesis
      first categorizes the privacy violations that take place in online
      social networks. Our proposed approach is based on agent-based
      representation of a social network, where the agents manage users'
      privacy requirements by creating commitments with the system. The
      privacy context, including the relations among users or content types
      are captured using description logic. We propose a sound and complete
      algorithm to detect privacy violations on varying depths of social
      networks. We implement the proposed model and evaluate our approach
      using real-life social networks.

      A content that is shared by one user can very well violate the privacy
      of other users. To remedy this, ideally, all the users that are related
      to a content should get a say in how the content should be shared. To
      enable this, we model users of the social networks as agents that
      represent their users' privacy constraints as semantic rules. In one
      line, we propose a reciprocity-based negotiation for reaching privacy
      agreements among users and introduce a negotiation architecture that
      combines semantic privacy rules with utility functions. In a second
      line, we propose a privacy framework where agents use Assumption-based
      Argumentation to discuss with each other on propositions that enable
      their privacy rules by generating facts and assumptions from their
      ontology.

      Thesis Committee:
      Pinar Yolum
      Arzucan Ozgur
      Gonenc Yucel (IE)
      Yucel Saygin (Sabanci University)
      Sule Gunduz Ogutucu (ITU)

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  2. Orhan Ermis PhD. Thesis Defense: Formal Modeling and Analysis of Group Key Agreement Protocols
    • Start time: 04:00pm, Tuesday, May 23rd
    • End time: 06:00pm, Tuesday, May 23rd
    • Where: BM A2
    • PhD. Thesis Defense

      FORMAL MODELING AND ANALYSIS OF GROUP KEY AGREEMENT PROTOCOLS
      Formal Modeling and Analysis of Group Key Agreement Protocols
      by
      Orhan Ermis

      All interested are cordially invited.

      Date and Time: May 23rd Tuesday,16:00
      Place: BM A2
      Thesis Advisor: Mehmet Ufuk Caglayan

      Abstract: The essence of dynamic group key agreement protocols is to help computing a secure key for a group communication with a dynamic set of participants in distributed systems. Dynamic group key agreement protocols are expected to be used in applications such as conference communications, file sharing systems and mobile ad hoc networks. In dynamic group key agreement protocols, the number of participants may change in a time-varying manner because of participants are joining or leaving a group. The security of such operations is affected by the existence of backward confidentiality and forward confidentiality, respectively. There are a number of problems related to the use of existing dynamic group key agreement protocols: (i) inefficient fault detection in conference communications, (ii) lack of privacy, violation of availability, inefficient participant revocation, dependency for key escrow in file sharing systems and (iii) insecure cluster head selection in mobile ad hoc networks. In this thesis, first, we introduce an improved Dynamic Conference Key Agreement Protocol with dynamic group capabilities to provide better performance in fault detection and correction. Then, we show the application of the proposed protocol on Three-Tier Secure File Sharing System with efficient participant revocation. Second, we propose another Key Agreement Protocol with Partial Backward Confidentiality. The partial backward confidentiality property is a novel security property that allows a new participant to compute the last valid group key just before joining the group. In relation to this protocol, we propose a Private File Sharing System. Third, we propose a Group Key Agreement Protocol for Mobile Ad hoc Networks. In this protocol, we introduce the new concept of secure cluster head selection. Finally, we propose a security decision framework for multi-protocol communications called Secure Multi-Protocol Group Communication Framework with its proof of concept case study for post disaster management.

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Tomorrow

  1. Yigit Kultur PhD. Thesis Defense Novel Models for Credit Card Fraud Detection
    • Start time: 11:00am, Wednesday, May 24th
    • End time: 01:00pm, Wednesday, May 24th
    • Where: BM A2
    • PhD. Thesis Defense

      NOVEL MODELS FOR CREDIT CARD FRAUD DETECTION
      by
      Yigit Kultur

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  2. An Introduction to Semantic Web Technologies and its Applications
    • Start time: 02:00pm, Wednesday, May 24th
    • End time: 04:00pm, Wednesday, May 24th
    • Where: AVS
    • An Introduction to
      Semantic Web Technologies and its Applications
      by
      Prof. Dr. Maria del Mar Roldan Garcia
      Department of Computer Languages and Computing Sciences
      University of Malaga
      http://khaos.uma.es/en
      Date: 24.5.2017 Time: 14:00 Place: AVS

      See attachment for details.

      Contact person: Suzan Uskudarli

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Contact us

Department of Computer Engineering, Boğaziçi University,
34342 Bebek, Istanbul, Turkey

  • Phone: +90 212 359 45 23/24
  • Fax: +90 212 2872461
 

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