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  1. Proceedings of the 3rd ACM on International Workshop on Security And Privacy Analytics (IWSPA '17)
  2. Identifying Key Cyber-Physical Terrain
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Non-interactive (t, n)-Incidence Counting from Differentially Private Indicator Vectors
Continuous Authentication Using Behavioral Biometrics
Tracing the Arc of Smartphone Application Security
What's in a URL: Fast Feature Extraction and Malicious URL Detection
An Internal/Insider Threat Score for Data Loss Prevention and Detection
Analysis of Causative Attacks against SVMs Learning from Data Streams
Predicting Exploitation of Disclosed Software Vulnerabilities Using Open-source Data
EMULATOR vs REAL PHONE: Android Malware Detection Using Machine Learning
Model-based Cluster Analysis for Identifying Suspicious Activity Sequences in Software
MCDefender: Toward Effective Cyberbullying Defense in Mobile Online Social Networks
Feature Cultivation in Privileged Information-augmented Detection
Identifying Key Cyber-Physical Terrain

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Identifying Key Cyber-Physical Terrain

Content Provider ACM Digital Library
Author Harang, Richard Thompson, Brian
Abstract The high mobility of Army tactical networks, combined with their close proximity to hostile actors, elevates the risks associated with short-range network attacks. The connectivity model for such short range connections under active operations is extremely fluid, and highly dependent upon the physical space within which the element is operating, as well as the patterns of movement within that space. To handle these dependencies, we introduce the notion of "key cyber-physical terrain": locations within an area of operations that allow for effective control over the spread of proximity-dependent malware in a mobile tactical network, even as the elements of that network are in constant motion with an unpredictable pattern of node-to-node connectivity. We provide an analysis of movement models and approximation strategies for finding such critical nodes, and demonstrate via simulation that we can identify such key cyber-physical terrain quickly and effectively.
Starting Page 23
Ending Page 28
Page Count 6
File Format PDF
ISBN 9781450349093
DOI 10.1145/3041008.3041015
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2017-03-24
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Mobile tactical networks Cyber-physical systems Malware spread
Content Type Text
Resource Type Article
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