skip to main content
US FlagAn official website of the United States government
dot gov icon
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
https lock icon
Secure .gov websites use HTTPS
A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Explore Research Products in the PAR
It may take a few hours for recently added research products to appear in PAR search results.


  • Home
  • Search Results
  • Page 1 of 1

Search for: All records

Creators/Authors contains: "Tatum, W"

Note: When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher. Some full text articles may not yet be available without a charge during the embargo (administrative interval).
What is a DOI Number?

Some links on this page may take you to non-federal websites. Their policies may differ from this site.

  1. ; ; ; ; (, IEEE)
    Sugunaraj, Niroop (Ed.)
    Abstract—The recent increase in attacks against publicly networked industrial control systems (ICS) has demonstrated a need for network-based anomaly detection systems, offering realtime flagging of potentially malicious activity by internal and external threat actors. Fuzzy hashing, also known as similarity hashing, has gained popularity in malware analysis and digital forensics circles as it provides analysts functionality to determine the similarity of two pieces of data by providing a similarity score. This work proposes a scheme that utilizes the similarity score to find variations from a self-establishing baseline in an ICS network to identify anomalous network traffic sections that could signify malicious activity. 
    more » « less
    Accepted Manuscript Full Text Available