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» Introduction to Randomized Algorithms
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TDSC
2010
119views more  TDSC 2010»
15 years 1 months ago
On the General Applicability of Instruction-Set Randomization
We describe Instruction-Set Randomization (ISR), a general approach for safeguarding systems against any type of code-injection attack. We apply Kerckhoffs' principle to creat...
Stephen W. Boyd, Gaurav S. Kc, Michael E. Locasto,...
NOSSDAV
2009
Springer
16 years 1 months ago
Random network coding on the iPhone: fact or fiction?
In multi-hop wireless networks, random network coding represents the general design principle of transmitting random linear combinations of blocks in the same “batch” to downs...
Hassan Shojania, Baochun Li
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, ...