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of 37
pro vyhledávání: '"Siraj, Ambareen"'
This paper presents analytical techniques to improve redundancy and relevance assessment for precise selection of features in practical multi-class raw datasets. We propose a matrix-rank based $k$-medoids algorithm that guarantees to output all indep
Externí odkaz:
http://arxiv.org/abs/2107.00705
Utilities around the world are reported to invest a total of around 30 billion over the next few years for installation of more than 300 million smart meters, replacing traditional analog meters [1]. By mid-decade, with full country wide deployment,
Externí odkaz:
http://arxiv.org/abs/2101.06308
Domain Generation Algorithms (DGAs) are used by adversaries to establish Command and Control (C\&C) server communications during cyber attacks. Blacklists of known/identified C\&C domains are often used as one of the defense mechanisms. However, sinc
Externí odkaz:
http://arxiv.org/abs/2101.00521
Autor:
Yilmaz, ibrahim, Siraj, Ambareen
More and more conventional electromechanical meters are being replaced with smart meters because of their substantial benefits such as providing faster bi-directional communication between utility services and end users, enabling direct load control
Externí odkaz:
http://arxiv.org/abs/2010.12640
Autor:
Islam, Sheikh Rabiul, Eberle, William, Ghafoor, Sheikh K., Bundy, Sid C., Talbert, Douglas A., Siraj, Ambareen
In the area of credit risk analytics, current Bankruptcy Prediction Models (BPMs) struggle with (a) the availability of comprehensive and real-world data sets and (b) the presence of extreme class imbalance in the data (i.e., very few samples for the
Externí odkaz:
http://arxiv.org/abs/1911.09858
Artificial Intelligence (AI) has become an integral part of modern-day security solutions for its ability to learn very complex functions and handling "Big Data". However, the lack of explainability and interpretability of successful AI models is a k
Externí odkaz:
http://arxiv.org/abs/1911.09853
Autor:
Ayub, Md. Ahsan1 (AUTHOR) mayub42@tntech.edu, Siraj, Ambareen1 (AUTHOR), Filar, Bobby2 (AUTHOR), Gupta, Maanak1 (AUTHOR)
Publikováno v:
International Journal of Information Security. Feb2024, Vol. 23 Issue 1, p533-556. 24p.
Autor:
Siraj, Ambareen
Thesis (Ph.D.) -- Mississippi State University. Department of Computer Science and Engineering.
Title from title screen. Includes bibliographical references.
Title from title screen. Includes bibliographical references.
Externí odkaz:
http://sun.library.msstate.edu/ETD-db/ETD-browse/browse
Akademický článek
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Autor:
Siraj, Ambareen
Publikováno v:
Theses and Dissertations.
The need for higher-level reasoning capabilities beyond low-level sensor abilities has prompted researchers to use different types of sensor fusion techniques for better situational awareness in the intrusion detection environment. These techniques p
Externí odkaz:
https://scholarsjunction.msstate.edu/td/336
https://scholarsjunction.msstate.edu/cgi/viewcontent.cgi?article=1335&context=td
https://scholarsjunction.msstate.edu/cgi/viewcontent.cgi?article=1335&context=td