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CCS
2003
ACM
15 years 11 months ago
Countering code-injection attacks with instruction-set randomization
We describe a new, general approach for safeguarding systems against any type of code-injection attack. We apply Kerckhoff’s principle, by creating process-specific randomized ...
Gaurav S. Kc, Angelos D. Keromytis, Vassilis Preve...
PKC
2010
Springer
150views Cryptology» more  PKC 2010»
15 years 10 months ago
Security of Encryption Schemes in Weakened Random Oracle Models
Liskov proposed several weakened versions of the random oracle model, called weakened random oracle models (WROMs), to capture the vulnerability of ideal compression functions, wh...
Akinori Kawachi, Akira Numayama, Keisuke Tanaka, K...
KDD
2009
ACM
239views Data Mining» more  KDD 2009»
16 years 7 months ago
Tell me something I don't know: randomization strategies for iterative data mining
There is a wide variety of data mining methods available, and it is generally useful in exploratory data analysis to use many different methods for the same dataset. This, however...
Heikki Mannila, Kai Puolamäki, Markus Ojala, ...
IPPS
2008
IEEE
16 years 28 days ago
Random choices for churn resilient load balancing in peer-to-peer networks
Peer-to-peer (P2P) networks based on consistent hashing functions have an inherent load uneven distribution problem. Things are even worse in unstructured P2P systems. The objecti...
Song Fu, Cheng-Zhong Xu, Haiying Shen
PLDI
2005
ACM
16 years 3 days ago
DART: directed automated random testing
We present a new tool, named DART, for automatically testing software that combines three main techniques: (1) automated extraction of the interface of a program with its external...
Patrice Godefroid, Nils Klarlund, Koushik Sen