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KAIST Graduate  School of Information Security

공지사항

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[종료] 정보보호대학원 신임교원 지원자 세미나 공지 (2014.02.17.월 10시20분~)
이름 : admin | 작성일 : 2014.02.17 09:46 | 조회수 : 12392

정보보호대학원에서는 아래와 같이 신임교원 지원자 학과 세미나를 개최합니다.

학생 여러분은 신임교원 지원자 세미나에 참석하시어 학과 발전에

도움이 될 수 있는 소중한 시간을 갖으시길 바랍니다.

 

* 세미나 일정

o 일시: 2.17(월) 10:20~

o 장소: N1건물(김병호IT융합센터) 1층 113호 강의실

 

 

 

o Title:

User-Centric Security Systems to Empower Users' Authentication Decisions

o Abstract:

In today's Internet, authenticating online entities is challenging
since people lack the real-world cues upon which to base their
context-dependent trust decisions. For example, how can a user
confirm that a Facebook invitation truly originates from the claimed
sender, as anyone can trivially set up a bogus online identity with
someone else's photo? When downloading a piece of software, how can a
user ensure that the piece of software is what (s)he searched for, as
even security-conscious users are often frustrated by their inability
to judge the legitimacy of software? Unfortunately, automating trust
decisions is infeasible due to context-dependent nature of trust and
the delays in identifying new and evolving threats. Hence, users may
still be left alone to make trust decisions.

In this talk, I will demonstrate that providing useful evidence can
empower users to make informed context-dependent trust decisions using
two user-centric interfaces in the context of data and identity
authentications. I will first present a security system called Online
Trust Oracle (OTO) for data authentication. OTO presents two
categories of evidence to assist users in determining software
legitimacy: the positive evidence of why the software is safe to
download, and the negative evidence for potential malware. OTO's
additional trust evidence enables users to make correct trust
decisions even if the underlying operating system mistakenly
categorizes legitimate software as malicious and vice versa. I will
then introduce an identity authentication logic called RelationGrams
that visualize interpersonal tie strength of virtual entities using
both physical and social proximities. RelationGrams enable casual
users to authenticate online identities in a safe and easy manner, and
build trust in previously unknown online entities. As we discover in
user studies, OTO and RelationGrams are useful primitives that provide
situational awareness such that users can ultimately make appropriate
online trust decisions with confidence.

 

o Bio:
Tiffany Hyun-Jin Kim is a Research Systems Scientist at CyLab at
Carnegie Mellon University. She earned her Ph.D. degree in Electrical
and Computer Engineering at Carnegie Mellon University, M.S. degree in
Computer Science from Yale University, and B.A. degree in Computer
Science from University of California at Berkeley. Her research
interests include human-oriented usable security, trust establishment,
and network security and privacy.

 

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