ABI-ONE ghc program v14.indd - Grace Hopper Celebration of ...

A Survey of Penetration Testing Against
Web Application Vulnerabilities
Presenter: Jing (Wendy) Jin (George
Mason University)
Web application vulnerabilities such
as Cross-site Scripting, SQL injection
become serious security problems in
financial and health systems. These vulnerabilities
allow attackers to perform various
actions like obtaining unauthorized account
access, stealing users’ sensitive data etc.
We describe state of art of web application
penetration testing which mimics attackers’
behaviors. Based on our vulnerable Bank
demo, we analyze the effectiveness of
multiple penetration testing tools against
several well-known attacks.
A Technique to Achieve Higher
Utilization Bound for Static-Priority
Tasks on Multiprocessors
Presenter: Molood Noori Alavijeh
(Chalmers University of Technology)
This paper proposes a technique to
develop a scheduling algorithm for
real-time periodic tasks on multiprocessors.
A new technique is used for task assignment
to processors. The feasibility analysis for
the worst case performance is addressed.
The objective is to prove that, all tasks meet
their deadlines, if the utilization of a task set
is less than or equal to UB percentage of the
total processing capacity of m processors.
An Exploration of Intuitive Travel
Techniques for Full Body Video Game
Interfaces
Presenter: Juliet N.P. Norton (University of
Central Florida)
We present work based on a Wizard-of-
Oz study exploring travel interaction
techniques for full body interfaces in the
video game Mirror’s Edge. Given complete
freedom in choosing motions and gestures,
participants showed a mix of natural and
constrained gestures adapted to space and
field of view restrictions. We discuss our
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results, provide design guidelines for full
body interfaces, and present our current
work the implementation of our proposed
gesture set.
Authorship Attribution of Web Forum
Posts using Clustering and Specialized
Classifiers
Presenter: Sangita Pillay (University of
Alabama at Birmingham)
Internet communication tools serve as an
effective platform for suspicious activities
among anonymous users. Our current
research work focuses on combining supervised
and unsupervised learning approaches
for performing authorship attribution on web
forum posts. For the first stage our approach
focuses on using clustering techniques to
reduce the complexity of processing a large
number of posts and authors. The second
stage involves using the resulting clusters to
train specialized classifiers.
Automated Event Extraction and Named
Entity Recognition in the Domain of
Veterinary Medicine
Presenter: Svitlana Volkova (Johns
Hopkins University)
We present an approach for automated
extraction of animal disease-related
events from unstructured web documents.
Our approach relies on extraction of
structured entity tuples consisting of event
attributes such as: animal diseases, dates,
species, locations and confirmation status
of the event. Moreover, for domain-specific
entity extraction we automatically build an
ontology using syntactic pattern matching
approach for semantic relation discovery
between disease entities (precision - 0.84,
recall - 0.78).
Coexpression Predicate Extraction from
Text using Conditional Random Fields
Presenter: Richa Tiwari (University of
Alabama at Birmingham)
We present a framework for extracting
information about coexpression
relationship among genes from text using
Conditional Random Fields. The classification
results of our CRFs model, trained on
full-length biomedical papers, have been
compared with that of Support Vector
Machine, Nearest Neighbor with generalization
and Neural Networks. We also evaluate
our ranking results against the search
results of Google and PubMed and show the
improvement in distinguishing positive and
negative papers.
Compound Merging Strategies for
Statistical Machine Translation
Presenter: Sara Stymne (Linköping
University)
Translation into compounding languages
like German and Swedish is a challenge
for statistical machine translation. I present
a novel algorithm for merging compound
parts, based on part-of-speech matching
with an extended tag set. It improves the
quality of merged compounds compared
to previously suggested methods, both
measured automatically and shown in an
error analysis. Translation is also improved
compared to systems without compound
processing for Swedish and German.
Deterministic, Deadlock-Free
Concurrency
Presenter: Nalini Vasudevan (Columbia
University)
Most concurrent programming models
come with two major pitfalls: nondeterminism
and deadlocks. By determinism,
we mean the output behavior of the program
is independent of the scheduling choices
(e.g., the operating system) and depends
only on the input behavior.
Anita Borg Institute for Women and Technology | Grace Hopper Celebration of Women in Computing 43