No abstract

In this paper, a unique approach to the imaging of non-metallic media using capacitive sensing is presented. By using customized sensor plates in single-ended and differential configurations, responses to hidden objects can be captured over a cylindrical aperture surrounding the inspected medium. Then, by processing the acquired data using a novel imaging technique based on the convolution theory, Fourier and inverse Fourier transforms, and exact low resolution electromagnetic tomography (eLORETA), images are reconstructed over multiple radial depths using the acquired sensor data. Imaging hidden objects over multiple depths has wide range of applications, from biomedical imaging to nondestructive testing of the materials. Performance of the proposed imaging technique is demonstrated via experimental results.

There is a growing need for low cost, high performance penetration testing hardware and software platforms to counteract the increasing number and severity of cyberattacks, as well as to provide education and training tools to address the significant shortage of cybersecurity professionals. In this paper, we investigate parallel computer clusters using the low cost Raspberry Pi platform as an alternative to conventional penetration testing systems. We investigate 2-node and 4-nobe Bramble clusters for wireless password cracking using open source Kali Linux tools, and compare the performance with conventional desktop and laptop systems.