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UMBC at SemEval-2018 Task 8: Understanding Text about Malware
We describe the systems developed by the UMBC team for 2018 SemEval Task 8, SecureNLP (Semantic Extraction from CybersecUrity REports using Natural Language Processing). We participated in three of the sub-tasks: (1) ...
Cybersecurity 2016 Survey Summary Report of Survey Results
(UMBC and International City/County Management Association (ICMA), 2017-04-17)
In 2016, the International City/County Management Association (ICMA), in partnership with the University of Maryland, Baltimore County (UMBC), conducted a survey to better understand local government cybersecurity practices. ...
Cybersecurity Challenges to American State and Local Governments
In this paper, we examine cybersecurity challenges to American state and local governments. In particular, we address the extent and magnitude of cyberattacks against these governments, the problems these governments face ...
Extracting cybersecurity related linked data from text
(IEEE Computer Society Press, 2013-09-16)
The Web is typically our first source of information about new software vulnerabilities, exploits and cyber-attacks. Information is found in semi-structured vulnerability databases as well as in text from security bulletins, ...
A Collaborative Approach to Situational Awareness for CyberSecurity
Traditional intrusion detection and prevention systems have well known limitations that decrease their utility against many kinds of attacks. Creating a new system that collaboratively combines information from traditional ...
A Semantic Approach to Situational Awareness for Intrusion Detection
(National Coordination Office for Networking and Information Technology Research and Development, 2012-06-11)
We describe a situation-aware intrusion detection system that integrates heterogeneous sources of information to build and maintain a semantically rich knowledge-base about cyber threats and vulnerabilities. Most current ...