Welcome to dcsl.latech.edu the Digital Forensics and Control System Security Research Lab located in Nethken Hall on the beautiful campus of Louisiana Tech University in Ruston, LA. Currently, DCSL focuses on research topics specific to digital forensics, the detection of malicious applications, and the cybersecurity concerns of industrial control systems. In addition, DCSL has partnered with local and state law enforcement to assist in digital forensic investigations.
DCSL researchers are to present paper at The 2014 IEEE Power & Energy Society General Meeting
Authors: Wallace, N., Semple, S., Atkison, T. Title: Identification of State Parameters for Stealthy Cyber-Events in the Power Grid Using PCA.
Two teams of students from Louisiana Tech University’s College of Engineering and Science have placed in the top ten of the 2013 Department of Defense Cyber Crime Center (DC3) Digital Forensics Challenge. James Poore, Nathan Wallace and Stanislav Ponomarev comprised Louisiana Tech’s graduate team, known as “0x3BADD00D5atLaTech,” and finished in second place out of the 13 in the U.S. graduate team division, third place out of 26 teams in the graduate overall division, 20th place out of 188 teams in the U.S. teams division and in 28th place overall out of 317 participating teams in the Grand Champion division. The undergraduate team, consisting of Sean Semple, Christian Dean, Tommy Bozeman and Nick Henry, and known as “CyberACE4LaTech,” finished in fourth place out of 34 teams in the U.S. undergraduate team division, fifth place out of 50 teams in the undergraduate overall division, 19th place out of 188 in the U.S. teams division and in 26th place overall out of the 317 participating teams in the Grand Champion division.
Two DCSL graduate researchers are to present at the Third Annual COES Graduate Students Conference. 9am 30th October 2013 IFM Auditorium Louisiana Tech University
S. Ponomarev, Title: Detection of malicious application using classification of its input/output operations
N. Wallace, Title: Detecting cyber incidents in the power grid using principal component analysis.