Joshua Neil

Journal in Computer Virology · 2011

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from Joshua Neil's perspective

Ordered by how strongly the researchers Joshua Neil trusts endorse each paper. Same corpus, a different order for every researcher.

1. Static Analysis of Executables to Detect Malicious Patterns
2. Learning to detect malicious executables in the wild (Knowledge Discovery and Data Mining)
3. Learning with Kernels
4. Ether: malware analysis via hardware virtualization extensions (Conference on Computer and Communications Security)
5. Polymorphic Worm Detection Using Structural Information of Executables (International Symposium on Recent Advances in Intrusion Detection)
6. Analysis of a complex of statistical variables into principal components.
7. A Tutorial on Support Vector Machines for Pattern Recognition
8. RSVM: Reduced Support Vector Machines (SDM)
9. Multiple kernel learning, conic duality, and the SMO algorithm
10. Learning and Classification of Malware Behavior

Their papers

• Graph-based malware detection using dynamic analysis (2011) — 311 citations