2018 MILCOM
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Technical Paper Session: CSTC-5: Machine Learning and Block Chain Technologies for Security
(
Room
New Orleans
)
30 Oct 18
2:00 PM
-
5:00 PM
Tracks:
Track 3: Cyber Security and Trusted Computing, Unclassified Technical Paper Sessions
Machine Learning Based DDos Detection Through NetFlow Analysis
Jiangpan Hou
(Institute of Information Engineeringļ¼Chinese Academy of Sciences, P.R. China);
Peipei Fu
,
Zigang Cao
and
Anlin Xu
(Institute of Information Engineering, Chinese Academy of Sciences, P.R. China)
Robust Neural Malware Detection Models for Emulation Sequence Learning
Rakshit Agrawal
(University of California, Santa Cruz, USA);
Jack W. Stokes
(Microsoft Research, USA);
Mady Marinescu
(Microsoft, USA);
Karthik Selvaraj
(Microsoft Corporation, USA)
DeepGFL: Deep Feature Learning via Graph for Attack Detection on Flow-based Network Traffic
Yepeng Yao
(Chinese Academy of Science & Institute of Information Engineering, P.R. China);
Su Li ya
(School of Cyber Security, University of Chinese Academy of Science, P.R. China);
Zhigang Lu
(Institute of Information Engineering, Chinese Academy of Sciences, P.R. China)
30-min session break
SOTA: Secure Over-the-Air Programming of IoT Devices
Halim B Yesilyurt
(Florida International University, USA);
Selcuk Uluagac
(Florida International University & Electrical and Computer Engineering, USA);
Hidayet Aksu
(Florida International University, USA);
Raheem Beyah
(Georgia Institute of Technology, USA)
Blockchain Empowered Secure Internet-of-Battlefield Things (IoBT) Architecture
Deepak K Tosh
(University of Texas, El Paso, USA);
Sachin Shetty
and
Peter Foytik
(Old Dominion University, USA);
Laurent Njilla
(Air Force Research Laboratory, USA);
Charles A Kamhoua
(US Army Research Laboratory & Network Science Division, USA)
Secure Communications Using Blockchain Technology
Peter Menegay
(SynaptiCAD);
Jason Salyers
and
Griffin College
(SynaptiCAD, USA)
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