The Impact of Different System Call Representations on Intrusion Detection

[1]  Haibo He,et al.  Learning from Imbalanced Data , 2009, IEEE Transactions on Knowledge and Data Engineering.

[2]  Kuldip K. Paliwal,et al.  Intrusion detection using text processing techniques with a kernel based similarity measure , 2007, Comput. Secur..

[3]  Salvatore J. Stolfo,et al.  A Geometric Framework for Unsupervised Anomaly Detection , 2002, Applications of Data Mining in Computer Security.

[4]  Stephanie Forrest,et al.  Intrusion Detection Using Sequences of System Calls , 1998, J. Comput. Secur..

[5]  Jürgen Schmidhuber,et al.  Long Short-Term Memory , 1997, Neural Computation.

[6]  Steven A. Hofmeyr,et al.  Intrusion Detection via System Call Traces , 1997, IEEE Softw..

[7]  Xinghuo Yu,et al.  Evaluating Host-Based Anomaly Detection Systems: Application of the Frequency-Based Algorithms to ADFA-LD , 2014, NSS.

[8]  John McHugh,et al.  Testing Intrusion detection systems: a critique of the 1998 and 1999 DARPA intrusion detection system evaluations as performed by Lincoln Laboratory , 2000, TSEC.

[9]  Salvatore J. Stolfo,et al.  Modeling system calls for intrusion detection with dynamic window sizes , 2001, Proceedings DARPA Information Survivability Conference and Exposition II. DISCEX'01.

[10]  Jiankun Hu,et al.  Generation of a new IDS test dataset: Time to retire the KDD collection , 2013, 2013 IEEE Wireless Communications and Networking Conference (WCNC).

[11]  Jiankun Hu,et al.  A Semantic Approach to Host-Based Intrusion Detection Systems Using Contiguousand Discontiguous System Call Patterns , 2014, IEEE Transactions on Computers.

[12]  Jeffrey Pennington,et al.  GloVe: Global Vectors for Word Representation , 2014, EMNLP.

[13]  Tomas Mikolov,et al.  Enriching Word Vectors with Subword Information , 2016, TACL.

[14]  Abdelwahab Hamou-Lhadj,et al.  A trace abstraction approach for host-based anomaly detection , 2015, 2015 IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA).