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Thomas Stibor

Dr. Thomas Stibor


now at GSI Helmholtz Centre for Heavy Ion Research


2012 Evasion Attack of Multi-Class Linear Classifiers
2011 A Supervised Topic Transition Model for Detecting Malicious System Call Sequences
Artificial Immune Systems - 10th International Conference, ICARIS 2011, Cambridge, UK, July 18-21, 2011. Proceeding
2010 On Immunological Memory as a Function of a Recursive Proliferation Process
Efficient Collapsed Gibbs Sampling For Latent Dirichlet Allocation
A Study of Detecting Computer Viruses in Real-Infected Files in the n-gram Representation with Machine Learning Methods
2009 Foundations of r-contiguous Matching in Negative Selection for Anomaly Detection
Geometrical Insights into the Dendritic Cell Algorithm
2008 An Empirical Study of Self/Non-Self Discrimination in Binary Data with a Kernel Estimator
Discriminating Self from Non-Self with Finite Mixtures of Multivariate Bernoulli Distributions
Theoretical Advances in Artificial Immune Systems
2007 Phase Transition and the Computational Complexity of Generating r-contiguous Detectors
Comments on Real-Valued Negative Selection vs. Real-Valued Positive Selection and One-Class SVM
Detecting Node Compromise in Hybrid Wireless Sensor Networks Using Attestation Techniques
2006 Artificial Immune Systems for IT-Security
On the Use of Hyperspheres in Artificial Immune Systems as Antibody Recognition Regions
On Permutation Masks in Hamming Negative Selection
The Link between r-contiguous Detectors and k-CNF Satisfiability
Generalization Regions in Hamming Negative Selection
On the Appropriateness of Negative Selection for Anomaly Detection and Network Intrusion Detection
2005 Is Negative Selection Appropriate for Anomaly Detection ?
A Comparative Study of Real-Valued Negative Selection to Statistical Anomaly Detection Techniques
On the Appropriateness of Negative Selection defined over Hamming Shape-Space as a Network Intrusion Detection System
2004 An Investigation of R-Chunk Detector Generation on Higher Alphabets