September 4-6, 2019, we attended a very enjoyable and informative KES 2019 conference in Budapest. We presented 3 papers at the conference, co-authored with CI graduate and undergraduate students (see this post for details).
CI Computer Science students were successful in submitting three papers to KES 2019, the 23rd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, which this year is taking place in Budapest, Hungary, in September 2019. The papers are the following:
- Approximating consistency in pairwise comparisons, co-authored by Chris Kuske, Konrad Kułakowski and Michael Soltys. Chris Kuske was a masters student in Computer Science at CI, and this paper is the result of his masters thesis [pdf], which was co-supervised by Prof. Konrad Kułakowski (AGH), who at the time was a Kościuszko Scholar in Computer Science at CI. Chris Kuske is a Software Lead at Teledyne Controls where he develops avionics software for commercial aircrafts. (This paper will be presented in the Invited Session IS18: Decision modeling with and without pairwise comparisons.)
- SEAKER: A mobile digital forensics triage device, co-authored by Eric Gentry and Michael Soltys. Eric Gentry was a masters student in Computer Science at CI, and currently working at GBL Systems, and lecturing for Computer Science at CI. This paper is the result of a collaboration between Computer Science at CI and the SoCal High Technology Task Force. For more details on this collaboration please see here. (This paper will be presented in the Invited Session IS13: Cybercrime Investigation and Digital Forensics.)
- Deploying Health Campaign Strategies to Defend Against Social Engineering Threats, co-authored by Noelle Abe and Michael Soltys. Noelle Abe is a senior student at CI, who just graduated this May with a degree in Computer Science. Noelle Abe was both a President’s Scholar at CI, and the vice-president of the Computer Science Girls Club. This paper was initiated by Noelle as part of her research as an exchange student in the UK in 2017. (This paper will be presented in the Invited Sessions IS24: Knowledge-based Learning and Education Support System: Design and Function.)
In the summer 2017, while I was teaching COMP 524 (Cybersecurity) at California State University Channel Islands, the students were introduced to a project based on an R&D from the SoCal High Technology Task Force (HTTF). The requirements and specifications asked for a device that could automate the search through vast amounts of data contained in portable devices (such as hard disks and thumb-drives), looking for pre-established patterns in file-names.
The students designed and prototyped a device the we christened SEAKER (Storage Evaluator and Knowledge Extractor Reader), based on a Raspberry Pi, with a custom designed version of Raspbian (the OS running on Raspberry Pis), and a bash shell script for cloning such devices. The first presentation of SEAKER took place on August 7, 2017, to an audience composed of CI faculty and students, as well as investigators from the SoCal HTTF.
As SEAKER was being developed, it was presented at various other venues, for example:
- On February 16, 2018, at the Camarillo Chamber of Commerce
- On April 21, 2018, at a Cybersecurity event at CSU CI
- On March 14, 2019, at the FICC conference in San Francisco, by Eric Gentry who was the leader of the student team that developed SEAKER in COMP 524 during the summer 2017.
We have also published the research resulting from the SEAKER project:
- As the masters thesis of Eric Gentry, April 2019 [pdf]
- In the proceedings of the 2019 Future of Information and Communication Conference (FICC) [doi]
- To appear in the proceedings of the 2019 23rd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES), track: Cybercrime Investigation and Digital Forensics