General Information on the Government Shutdown:

Committee for a Responsible Federal Budget 

http://www.crfb.org/papers/qa-everything-you-should-know-about-government-shutdowns

The Balance 

https://www.thebalance.com/government-shutdown-3305683

BusinessWire 

https://www.businesswire.com/news/home/20181228005214/en/Command-Cover-Coast-Guard-Pay-Government-Shutdown

American Foreign Service Association 

http://www.afsa.org/government-shutdown-helpful-information

How to Find Help During the Government Shutdown:

 Vox

https://www.vox.com/policy-and-politics/2019/1/10/18175389/government-shutdown-federal-worker-pay-loan-banks

NBC Washington

https://www.nbcwashington.com/news/local/How-to-Get-Help-During-the-Shutdown-504121501.html

Clark

https://clark.com/personal-finance-credit/government-shutdown-assistance-financial-help

Marine Corps Community Services Forward

https://usmc-mccs.org/articles/curious-about-resources-during-a-government-shutdown

U.S. Air Force

https://www.af.mil/Government-Shutdown

HRSA

https://www.hrsa.gov/sites/default/files/employee_information_during_the_federal_government_shutdown.pdf

CREDIT UNIONS AND BANKS

Wells Fargo

https://www.wellsfargo.com/help/government-shutdown

Interior Federal Credit Union

https://www.interiorfcu.org/resources/government-shutdown 

Navy Credit Union

https://www.navyfederal.org/about/government-shutdown.php

Bank of America

https://message.bankofamerica.com/shutdown/?cm_sp=EBZ-BAC-Announcement-_-BACAnnouncement-_-AMT2SX3F01_SuperHighlights_Shutdown_Dec18_ctaGovtShutdown

Fifth Third Bank

https://www.53.com/content/fifth-third/en/alerts/government-shutdown.html

Sandy Spring Bank

https://www.sandyspringbank.com/resource-center/article/assistance-during-government-shutdown

Apple Credit Union

https://applefcu.org/personal-banking/loans/government-shutdown-assistance

The Partnership Federal Credit Union

https://www.thepartnershipfcu.com/about-the-partnership/who-we-are/in-the-news/potential-government-shutdown

Middletown Valley Bank

http://mvbbank.com/news/government-shutdown

1^st Advantage Credit Union

https://www.1stadvantage.org/advantages/membership/special-offers/government-shutdown-assistance

The Walters Art Museum is among America’s top 50 art museums. Situated in the historic Mt. Vernon district of Baltimore, the Walters has an internationally-renowned collection of over 36,000 objects. It presents major exhibitions annually, has a world- class conservation studio and research program, and is a leader in education. The Walters’ Advancement Division consists of Development, Marketing & Communications, and Visitor Services. Reporting to the Director of Individual Giving & Major Gifts, the individual will be part of a dynamic and collaborative team.

Using Deep Learning in Identifying Network Intrusions

Dr. Rajeev Agrawal
Information Technology Laboratory
US Army Engineer Research and Development Center

10:30-11:30 Monday, February 11, 2019, ITE325

Deep Learning algorithms have been very successful in computer vision, natural language processing, and speech recognition. However, there is a big challenge in applying it in cyber security domain due to non‐availability of ‘real’ cybersecurity data. Many researchers have tried using synthetic data such as KDD‐NSL or newer UNSW-NB15 network intrusion datasets, however, it is difficult to determine the performance of the proposed research on a dataset captured from an enterprise network. The DoD’s High Performance Computing Modernization Program (HPCMP) operates Defense Research Engineering network (DREN), which has multiple security software and hardware tools installed across the network. A variety of cybersecurity logs are captured using these tools. We use a TensorFlow based framework to analyze DREN’s Bro alert data generated under Cybersecurity Environment for Detection, Analysis and Reporting (CEDAR) project. These alerts are marked as bad or normal by the cybersecurity analysts and used as ground truths. This labeled data is used to measure the performance of our approach in identifying network intrusions. We are able to achieve high level accuracy by tuning hyper-parameters used in any deep learning approach. In this presentation, we will discuss the results of our approach which harnesses the power of HPC systems to train our proposed model.

Dr. Rajeev Agrawal joined Cyber Engineering and Analysis branch (CEAB), Information Technology Laboratory in 2016. He is the Data Science lead of the High Performance Computing Architecture (HPC) for Cyber Situational Awareness (HACSAW) Project. The goal of this project is to analyze the cybersecurity data captured across Defense Research and Engineering Network (DREN). He is also a member of the HPC-based deep learning project team and exploring deep learning applicability in cybersecurity domain. Dr. Agrawal received his Ph.D. in Computer Science with minor in Engineering from Wayne State University in 2009. Prior to joining ITL, he was an Associate Professor in the Department of Computer Systems Technology at North Carolina A&T State University.  Dr. Agrawal’s research interests include Deep Learning, Cyber Security, SCADA/ICS, Machine Learning and Pattern Recognition. He has published more than 80 technical papers and book chapters in refereed conferences and journals in these areas. He was selected a Data Science Fellow by the National Consortium of Data Science (NCDS) in 2014. His research has been funded by NSF, US Army, John Deere, ACM, RedHat, National Consortium of Data Science and Michigan State University.

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