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Paul Howell

dblp:72/1192 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2010
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%
Network and information security
1 paper
Network security · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › gene expression analysis › microarray data preprocessing
microarray data normalization
0.112010
A personalized microRNA microarray normalization method using a logistic regression model · Bioinform. 2010
Bioinformatics and computational biology › gene expression analysis
microRNA expression analysis
0.112010
A personalized microRNA microarray normalization method using a logistic regression model · Bioinform. 2010
Bioinformatics and computational biology
gene expression analysis
0.012010
A personalized microRNA microarray normalization method using a logistic regression model · Bioinform. 2010
Network security › intrusion detection and prevention
intrusion detection
0.012000
Transport and Application Protocol Scrubbing · INFOCOM 2000
Transport protocols and congestion control › transport protocols
TCP/IP
0.012000
Transport and Application Protocol Scrubbing · INFOCOM 2000

Methods — techniques the papers use, named apart from their topics

qRT-PCR · 0.1logistic regression · 0.1transparent interposition · 0.1kernel implementation · 0.1
YearPublicationVenuePosition
2010 A personalized microRNA microarray normalization method using a logistic regression model
abstract
MOTIVATION: MicroRNA (miRNA) is a set of newly discovered non-coding small RNA molecules. Its significant effects have contributed to a number of critical biological events including cell proliferation, apoptosis development, as well as tumorigenesis. High-dimensional genomic discovery platforms (e.g. microarray) have been employed to evaluate the important roles of miRNAs by analyzing their expression profiling. However, because of the small total number of miRNAs and the absence of well-known endogenous controls, the traditional normalization methods for messenger RNA (mRNA) profiling analysis could not offer a suitable solution for miRNA analysis. The need for the establishment of new adaptive methods has come to the forefront. RESULTS: Locked nucleic acid (LNA)-based miRNA array was employed to profile miRNAs using colorectal cancer cell lines under different treatments. The expression pattern of overall miRNA profiling was pre-evaluated by a panel of miRNAs using Taqman-based quantitative real-time polymerase chain reaction (qRT-PCR) miRNA assays. A logistic regression model was built based on qRT-PCR results and then applied to the normalization of miRNA array data. The expression levels of 20 additional miRNAs selected from the normalized list were post-validated. Compared with other popularly used normalization methods, the logistic regression model efficiently calibrates the variance across arrays and improves miRNA microarray discovery accuracy. AVAILABILITY: Datasets and R package are available at http://gauss.usouthal.edu/publ/logit/.
Bin Wang 0091, Paul Howell, Xuemin Qian, Adam I. Riker, Jingfang Ju, Yaguang Xi
Bioinform.3
2000 Transport and Application Protocol Scrubbing
abstract
This paper describes the design and implementation of a protocol scrubber, a transparent interposition mechanism for explicitly removing network attacks at both the transport and application protocol layers. The transport scrubber supports downstream passive network-based intrusion detection systems; whereas the application scrubbing mechanism supports transparent fail-closed active network-based intrusion detection systems. The transport scrubber's role is to convert ambiguous network flows into well-behaved flows that are unequivocally interpreted by all downstream endpoints. As an example, this paper presents the implementation of a TCP/IP scrubber that eliminates insertion and evasion attacks-attacks that use ambiguities to subvert detection-on passive network-based intrusion detection systems, while preserving high performance. The application protocol scrubbing mechanism is used as a substrate for building fail-closed active network based intrusion detections systems that can respond to attacks by eluding or modifying application data flows in real-time. This paper presents the high performance implementation of a general purpose transparent application-level scrubbing toolkit in the FreeBSD kernel.
G. Robert Malan, David Watson 0001, Farnam Jahanian, Paul Howell
INFOCOM4