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ISW
2010
Springer
13 years 5 months ago
An Architecture for Enforcing JavaScript Randomization in Web2.0 Applications
Abstract. Instruction Set Randomization (ISR) is a promising technique for preventing code-injection attacks. In this paper we present a complete randomization framework for JavaSc...
Elias Athanasopoulos, Antonis Krithinakis, Evangel...
ICDM
2010
IEEE
108views Data Mining» more  ICDM 2010»
13 years 5 months ago
Assessing Data Mining Results on Matrices with Randomization
Abstract--Randomization is a general technique for evaluating the significance of data analysis results. In randomizationbased significance testing, a result is considered to be in...
Markus Ojala
APJOR
2010
118views more  APJOR 2010»
13 years 5 months ago
Alternative Randomization for Valuing American Options
This paper provides a fast and accurate randomization algorithm for valuing American puts and calls on dividend-paying stocks and their early exercise boundaries. The primal focus...
Toshikazu Kimura
DIMVA
2008
13 years 8 months ago
Data Space Randomization
Over the past several years, US-CERT advisories, as well as most critical updates from software vendors, have been due to memory corruption vulnerabilities such as buffer overflo...
Sandeep Bhatkar, R. Sekar
ATAL
2006
Springer
13 years 11 months ago
Security in multiagent systems by policy randomization
Security in multiagent systems is commonly defined as the ability of the system to deal with intentional threats from other agents. This paper focuses on domains where such intent...
Praveen Paruchuri, Milind Tambe, Fernando Ord&oacu...
IPPS
2000
IEEE
13 years 12 months ago
Transient Analysis of Dependability/Performability Models by Regenerative Randomization with Laplace Transform Inversion
In this paper we develop a variant of a previously proposed method the regenerative randomization method for the transient analysis of dependability performability models. The va...
Juan A. Carrasco
MCS
2004
Springer
14 years 24 days ago
A Comparison of Ensemble Creation Techniques
We experimentally evaluate bagging and six other randomization-based approaches to creating an ensemble of decision-tree classifiers. Bagging uses randomization to create multipl...
Robert E. Banfield, Lawrence O. Hall, Kevin W. Bow...
KDD
2004
ACM
159views Data Mining» more  KDD 2004»
14 years 24 days ago
Optimal randomization for privacy preserving data mining
Randomization is an economical and efficient approach for privacy preserving data mining (PPDM). In order to guarantee the performance of data mining and the protection of individ...
Michael Yu Zhu, Lei Liu
VEE
2006
ACM
142views Virtualization» more  VEE 2006»
14 years 1 months ago
Secure and practical defense against code-injection attacks using software dynamic translation
One of the most common forms of security attacks involves exploiting a vulnerability to inject malicious code into an executing application and then cause the injected code to be ...
Wei Hu, Jason Hiser, Daniel Williams, Adrian Filip...
PAKDD
2007
ACM
140views Data Mining» more  PAKDD 2007»
14 years 1 months ago
A Hybrid Multi-group Privacy-Preserving Approach for Building Decision Trees
In this paper, we study the privacy-preserving decision tree building problem on vertically partitioned data. We made two contributions. First, we propose a novel hybrid approach, ...
Zhouxuan Teng, Wenliang Du