Colloquia: Dawn Song/Carnegie Mellon University ECE & CS Towards Automatic Generation of Vulnerability Signatures TAY 3.128
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Type of Talk: Co
lloquia
Speaker Name: Dawn Song
Speaker Affiliation: Carneg
ie Mellon University ECE & CS
Date: Monday November 27 2006
<
br>Start Time: 10:00 a.m.
Location: TAY 3.128
Host: CIAS &
Freescale
Talk Title: Towards Automatic Generation of Vulnerabilit
y Signatures
Talk Abstract:
Content-based filtering using attack
signatures is a widely-adopted defense mechansim against worm attacks and o
ther malware attacks. However so far the core of this defense mechanism
signature generation has largely been a manual process which can be slow
tedious inaccurate and have fundamental limitations to scalability and c
omplexity. In this talk I will present our recent works towards automatic
generation of worm signatures.
I will first talk about pattern-extra
ction based signature generation where we use machine learning techniques t
o extract distinguishing features of attack packets to create signatures. I
will then talk about some of the fundamental limitations of such pattern-e
xtraction based approach in defending against polymorphic attacks and other
malicious attacks. Finally I will introduce our new approach language-b
ased methods for automatic generation of vulnerability signatures. A vulne
rability signature matches all exploits of a given vulnerability even poly
morphic or metamorphic variants. We propose new techniques using data-flow
analysis and constraint solving for automatically generating vulnerability
signatures. Our experiments show that we can automatically generate a vuln
erability signature using a single exploit which is of much higher quality
than previous approaches demonstrating our approach is a promising directi
on towards automatic generation of worm signatures. Finally our techniques
have wide applicability beyond signature generation and I will give some
example applications including application dialogue replay.
Speaker
Bio:
Dawn Song is an Assistant Professor at Carnegie Mellon University.
She obtained her PhD in Computer Science from UC Berkeley. Her research int
erest lies in security and privacy issues in computer systems and networks.
She is the author of more than 35 research papers in areas ranging from so
ftware security networking security database security distributed system
s security to applied cryptography. She is the recipient of various awards
and grants including the NSF CAREER Award and the IBM Faculty Award. She h
as served on numerous program committees of prestigious conferences includi
ng Symposium on Operating Systems Design and Implementation (OSDI) ACM Com
puter and Communication Security (CCS) USENIX Security Symposium Network
and Distributed Systems Security Symposium (NDSS) USENIX Annual Technical
Conference Symposium on Recent Advance in Intrusion Detection (RAID) IEEE
Infocom ACM Sensor Networks and Systems Conference (SenSys).
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