Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Lorie M. Liebrock"'
Publikováno v:
Natural Language Processing.
In this research, we use user defined labels from three internet text sources (Reddit, Stackexchange, Arxiv) to train 21 different machine learning models for the topic classification task of detecting cybersecurity discussions in natural text. We an
Publikováno v:
2021 International Carnahan Conference on Security Technology (ICCST).
In this research, we use user defined labels from three internet text sources (Reddit, Stackexchange, Arxiv) to train 21 different machine learning models for the topic classification task of detecting cybersecurity discussions in natural text. We an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38a1b1354ec57b19ee5ef3c4395670ac
Publikováno v:
Computers & Security. 48:150-166
User authentication over the network builds a foundation of trust within large-scale computer networks. The collection of this network authentication activity provides valuable insight into user behavior within an enterprise network. Representing thi
Autor:
Cole Grim, Vincent Urias, Lorie M. Liebrock, William M.S. Stout, Jean Luc-Watson, Monzy Merza
Publikováno v:
ICCST
Computer network defense has traditionally been provided using reactionary tools such as signature-based detectors, white/blacklisting, intrusion detection/protection systems, etc. While event detection/correlation techniques may identify threats —
Publikováno v:
The International Journal of High Performance Computing Applications. 27:136-146
Scientific applications are interrupted by the operating system far too often. Historically, operating systems have been optimized to time-share a single resource, the CPU. We now have an abundance of cores, but we are still swapping out the applicat
Autor:
Lorie M. Liebrock, Edward E. Eiland
Publikováno v:
Advances in Artificial Intelligence. 2013:1-22
Biological and medical endeavors are beginning to realize the benefits of artificial intelligence and machine learning. However, classification, prediction, and diagnostic (CPD) errors can cause significant losses, even loss of life. Hence, end users
Autor:
Edward E. Eiland, Lorie M. Liebrock
Publikováno v:
Advances in Artificial Intelligence.
Many problem domains utilize discriminant analysis, for example, classification, prediction, and diagnoses, by applying artificial intelligence and machine learning. However, the results are rarely perfect and errors can cause significant losses. Hen
Autor:
Lorie M. Liebrock, Daniel Quist
Publikováno v:
Information Visualization. 10:117-126
Reverse engineering-compiled executables is a task with a steep learning curve. It is complicated by the task of translating assembly into a series of abstractions that represent the overall flow of a program. Most of the steps involve finding intere
Publikováno v:
Journal in Computer Virology. 7:121-131
Modern malware protection systems bring an especially difficult problem to antivirus scanners. Simple obfuscation methods can diminish the effectiveness of a scanner significantly, often times rendering them completely ineffective. This paper outline