MPI-INF Logo
Campus Event Calendar

Event Entry

What and Who

"Usable Security Lessons for Creating Effective Browser Warnings"

Serge Egelman
Carnegie Mellon
SWS Colloquium


Serge Egelman is a PhD student within Carnegie Mellon University's
School of Computer Science.  His main research area is on usable privacy
and security, which has included work on phishing detection,
authentication systems, online privacy, user account models, and online
shopping behaviors.  His dissertation is on design patterns for creating
effective online trust indicators, which are based on user studies that
he's done on privacy policies, phishing warnings, and SSL error
messages.  Serge was a summer intern at PARC in 2006, as well as an
intern at Microsoft Research for six months in 2008.  While at MSR, he
helped the IE team redesign the IE8 phishing warning based on the
results of his research.  Serge enjoys traveling the world and hopes to
visit every UNESCO World Heritage Site.  Though his more recent pastimes
center around graduating and applying for jobs.
SWS, RG1  
Expert Audience
English

Date, Time and Location

Thursday, 19 March 2009
16:00
60 Minutes
E1 5
019
Saarbrücken

Abstract


In a world where making an incorrect online trust decision can mean the
difference between checking your account balance and transferring it to
criminals, Internet users need effective security warnings to help them
identify risky situations.  In a perfect world, software could
automatically detect all security threats and then block access to high
risk websites.  Because there are many threats that we cannot detect
with 100% accuracy and false positives are all too frequent, web browser
vendors generally opt to warn users about security threats.  In this
talk I cover the common pitfalls of web browser security warnings and
draw parallels with literature in the warning sciences.  I describe the
results of two laboratory phishing studies I performed in order to
examine users' mental models, risk perceptions, and comprehension of
current security warnings.  Finally, I show how I used these findings to
iteratively design and test a more usable SSL warning that clearly
conveys risk and uses context to minimize habituation effects.


Contact

Brigitta Hansen
0681 9325691
--email hidden

Video Broadcast

Yes
Kaiserslautern
G26
206
passcode not visible
logged in users only

Brigitta Hansen, 03/11/2009 13:32 -- Created document.