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Malware 2018 Best Paper Award

Malware 2018
Best Paper Award - Research Track

Presented to

William Fleshman, Richard Zak and Mark McLean

Laboratory for Physical Sciences, USA

and

Edward Raff and Charles Nicholas

Booz Allen Hamilton and

University of Maryland, Baltimore County, USA

 

In recognition to their contributions to the Field of Information and Systems Security

and the quality and timeliness of their work as embodied in the manuscript:

 

“Static Malware Detection & Subterfuge: Quantifying the Robustness of Machine Learning and Current Anti-Viruscalable Encryption Fingerprinting in Dynamic Malware Trace" 

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00 06:30- 08:00 AM: Registration & Breakfast

08:00 - 10:00 AM:

Session # 3  Botnets

Chair: Richard Brooks

1570486227 - "An Adversarial Coupon-Collector Model of Asynchronous Moving-Target Defense Against Botnet Reconnaissance" by George Kesidis and Yuquan Shan, Pennsylvania State University, USA; Dan Fleck and Angelos Stavrou, George Mason University, USA; Takis Konstantopoulos, University of Liverpool, United Kingdom.

 

1570487984 - "Attacking OMG Data Distribution Service (DDS) Based Real-Time Mission Critical Distributed Systems" by; Michaud Michael, Royal Military College of Canada, Canada; Thomas Dean, Queen's University, Canada;  Sylvain P. Leblanc, Royal Military College of Canada, Canada.

 

1570487768 - "Resilience of Pruned Neural Network Against Poisoning Attack" by Bingyin Zhao and Yingjie Lao, Clemson University, USA.

 

10:00 - 10:30 AM

Morning Break

10:30 - 12:30 PM:

Session # 4:  Anti Malware Techniques

Chair: Sylvain LeBlanc

1570474551 - "PIDS: A Behavioral Framework for Analysis and Detection of Network Printer Attacks" by Asaf Hecht and Adi Sagi, Ben-Gurion University of the Negev, Israel; Yuval Elovici, Ben Gurion University, Israel.


1570487985 - "METICS: A Holistic Cyber Physical System Model for IEEE 14-bus Power System Security" by Ananth A. Jillepalli, University of Idaho & Center for Secure and Dependable Systems, USA; Daniel Conte de Leon, Brian K Johnson, Yacine Chakhchoukh, Ibukun Oyewumi and Mohammad Ashrafuzzaman, University of Idaho, USA; Frederick T Sheldon, University of Idaho & University of Memphis, USA; Jim Alves-Foss and Michael Haney, University of Idaho, USA.


1570482296 - "Behavioral Malware Classification Using Convolutional Recurrent Neural Networks" by Bander Alsulami and Spiros Mancoridis, Drexel University, USA.

12:30 - 01:30 PM: Lunch

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