Metrics for Mitigating Cybersecurity Threats to Networks
Schneidewind_security_2010_DOI.pdf (1.141Mb)Date
2010-01Metadata
Show full item recordAbstract
To achieve their full potential, networks must be secure as well as functional.
With this in mind, the author identifies metrics designed to mitigate
vulnerabilities to cyberattacks in networks that are key to the critical
infrastructure of the US. He discusses both growth metrics — based on
data obtained from the US National Institute of Standards and Technology
and Department of Homeland Security vulnerability database — and metrics
designed to mitigate the risk of security vulnerabilities in networks. If used
together, these two types of metrics can help make networks more secure.
Description
The article of record as published may be found at http://dx.doi.org/10.1109/MIC.2010.14
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.Collections
Related items
Showing items related by title, author, creator and subject.
-
An improved tarpit for network deception
(Monterey, California: Naval Postgraduate School, 2016-03);Networks are constantly bombarded with malicious or suspicious network traffic by attackers attempting to execute their attack operations. One of the most prevalent types of traffic observed on the network is scanning ... -
NEURAL NETWORK DISTRIBUTIONAL INITIAL CONDITION ROBUSTNESS IN POWER SYSTEMS
(Monterey, CA; Naval Postgraduate School, 2022-06);How can we measure and classify neural network robustness across differently distributed data to avoid misuse of machine learning tools? This thesis adopts several metrics to measure the initial condition robustness of ... -
Predicting Network Evolution through Temporal Twitter Snapshots for Paris Attacks of 2015
(2016);As technology advances, modern networks rapidly evolve. Capturing the dynamic nature of networks and predicting their evolution has been a common focus in network science. This research investigates a social network’s ...
