Louisiana Tech computer scientist pens first cyber data mining reference book

May 24, 2011

RUSTON, La. - Dr. Sumeet Dua, the Upchurch Endowed Professor of Computer Science and coordinator of information technology research at Louisiana Tech University, has co-authored the first reference book focusing on cyber data mining and machine learning.

"Data Mining and Machine Learning in Cybersecurity," which Dua authored with Dr. Xian Du, a senior research associate and postdoctoral fellow at Louisiana Tech, surveys cybersecurity problems and state-of-the-art machine-learning and data-mining solutions that address the overarching research problems. The book is designed for students and researchers studying or working on machine learning and data mining applications.

"'Data Mining and Machine Learning in Cybersecurity' is intended as a preliminary reference point for emerging researchers in this heavily interdisciplinary area," said Dua. "This book will provide them with an integrated, bottom-up view of the data-centered computational learning challenges in cybersecurity domains and help apportion this large problem into smaller underpinning data-mining and machine-learning research questions and their potential solutions."

Dua says numerous illustrative figures will help readers visualize the workflow of complex techniques, and more than forty case studies provide a clear proof-of-principle understanding of the design and application of data-mining and machine-learning techniques in cybersecurity.

According to the book's preface, in the emerging era of Web 3.0, securing cyberspace has gradually evolved into a critical organizational and national research agenda, inviting interest from a multidisciplinary scientific workforce. Machine learning and data mining play significant roles in cybersecurity, especially as more challenges appear with the rapid development of information discovery techniques.

Several conferences, workshops, and journals have focused on this research topic, however until the publication of Dua's book, there had not been a single interdisciplinary resource on past and current works and possible paths for future research in this area.

Dua says the inclusion of cybersecurity design principles in machine-learning research is important for academic research. "Such an inclusion inspires fundamental research in machine learning and data mining, such as research in the subfields of imbalanced learning, feature extraction for data with evolving characteristics, and privacy-preserving data mining."

In addition to this first-of-its-kind reference publication, Dua has also co-authored or edited books on data mining in biomedical imaging and bioinformatics, and computational analysis.

Dua earned his Ph.D. from Louisiana State University in Baton Rouge and has received numerous research awards from the State and Louisiana Tech including the 2007 Research Recognition Award and the 2009 Inventor Recognition Award. He is frequently invited to serve as a scientific review panelist for a variety of federal agencies and is a senior member of IEEE and the Association for Computing Machinery (ACM).

Dua's areas of expertise include data mining, image processing and computational decision support, pattern recognition, data warehousing, biomedical informatics, and heterogeneous distributed data integration.

Louisiana Tech University

Related Learning Articles from Brightsurf:

Learning the language of sugars
We're told not to eat too much sugar, but in reality, all of our cells are covered in sugar molecules called glycans.

When learning on your own is not enough
We make decisions based on not only our own learning experience, but also learning from others.

Learning more about particle collisions with machine learning
A team of Argonne scientists has devised a machine learning algorithm that calculates, with low computational time, how the ATLAS detector in the Large Hadron Collider would respond to the ten times more data expected with a planned upgrade in 2027.

Getting kids moving, and learning
Children are set to move more, improve their skills, and come up with their own creative tennis games with the launch of HomeCourtTennis, a new initiative to assist teachers and coaches with keeping kids active while at home.

How expectations influence learning
During learning, the brain is a prediction engine that continually makes theories about our environment and accurately registers whether an assumption is true or not.

Technology in higher education: learning with it instead of from it
Technology has shifted the way that professors teach students in higher education.

Learning is optimized when we fail 15% of the time
If you're always scoring 100%, you're probably not learning anything new.

School spending cuts triggered by great recession linked to sizable learning losses for learning losses for students in hardest hit areas
Substantial school spending cuts triggered by the Great Recession were associated with sizable losses in academic achievement for students living in counties most affected by the economic downturn, according to a new study published today in AERA Open, a peer-reviewed journal of the American Educational Research Association.

Lessons in learning
A new Harvard study shows that, though students felt like they learned more from traditional lectures, they actually learned more when taking part in active learning classrooms.

Learning to look
A team led by JGI scientists has overhauled the perception of inovirus diversity.

Read More: Learning News and Learning Current Events
Brightsurf.com is a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to Amazon.com.