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Course Details

Spring 2015-2016
COS 598E   Graded A-F, P/D/F, Audit

Advanced Topics in Computer Science - Securing Cyberspace with Big Data

Walter Willinger

This course teaches students how to search the type of "big data" that becomes routinely available to future cyber experts. In particular, it introduces students to distributed streaming data algorithms that are suitable for efficiently and effectively searching distributed and dynamic data warehouses for clues or evidence of suspicious network-wide traffic patterns or end host behavior.

Sample reading list:
E. M. Hutchins, M. J. Cloppert, R. M. Amin, Intelligence-Driven Computer Network Defense Informed by Ana
G. Cormode and M. Garofalakis, Approximate Continuous Querying of Distributed Streams.
C. Olston, J. Jiang, J. Widom, Adaptive Filters for Continuous Queries over Distributed Dat
E. Z. Wang and A. L. P. Chen, Mining frequent itemsets over distributed data streams by co
H. Lu, Y. Zhou, J. Haustad, Continuous skyline monitoring over distributed data streams.
M. Ghashami, J. M. Phillips, F. Li, Continuous matrix approximation on distributed data.
See instructor for complete list

Take Home Final Exam - 40%
Papers - 30%
Class/Precept Participation - 30%

Other Requirements:
Open to Graduate Students Only.

Prerequisites and Restrictions:
open to qualified undergrads/seniors.

Other information:
Dr. Walter Willinger from NIKSUN, Inc. will be responsible for organizing the weekly meetings and lining up guest lecturers from industry and academia. He will also provide a list of papers on different types of distributed streaming data algorithms. Students will be grouped into teams (3-4 students per team), and each team will be responsible for a paper report/presentation and final project report/presentation on one such algorithm.

Schedule/Classroom assignment:

Class numberSectionTimeDaysRoomEnrollmentStatus
43883 S01 01:30:00 pm - 04:20:00 pm T   Friend Center   112   Enrolled:11 Limit:20