The thermal camera can capture keyboard surface temperature change after a human's touch. This phenomenon may be used to steal users' passwords physically. In this paper, based on the study of thermal dynamics of keyboards, we design a password break system using an infrared thermal camera. First, we build a signal model to describe the dynamic process of temperature change on the keyboard using Newton's law of cooling. Next, we develop a maximum likelihood parameter estimation algorithm to estimate the keystroke time instants. Then, by maximizing the probability of key order arrangement, a novel password breaking algorithm is developed. Our algorithm is tested using simulated data as well as real-world data. Experiment results show that our algorithm is effective for physical password breaking using thermal characteristics. Based on our results, we discuss strategies for password protection at the end.
Additive manufacturing (AM, or 3D printing) is a novel manufacturing technology that has been adopted in industrial and consumer settings. However, the reliance of this technology on computerization has raised various security concerns. In this paper, we address issues associated with sabotage via tampering during the 3D printing process by presenting an approach that can verify the integrity of a 3D printed object. Our approach operates on acoustic side-channel emanations generated by the 3D printer's stepper motors, which results in a non-intrusive and real-time validation process that is difficult to compromise. The proposed approach constitutes two algorithms. The first algorithm is used to generate a master audio fingerprint for the verifiable unaltered printing process. The second algorithm is applied when the same 3D object is printed again, and this algorithm validates the monitored 3D printing process by assessing the similarity of its audio signature with the master audio fingerprint. To evaluate the quality of the proposed thresholds, we identify the detectability thresholds for the following minimal tampering primitives: insertion, deletion, replacement, and modification of a single tool path command. By detecting the deviation at the time of occurrence, we can stop the printing process for compromised objects, thus saving time and preventing material waste. We discuss various factors that impact the method, such as background noise, audio device changes, and different audio recorder positions.
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The 2018 IEEE Workshop on Statistical Signal Processing (SSP) will be held from 10-13 June 2018 in Freiburg, Germany. The SSP Workshop is a unique meeting that brings members of the IEEE Signal Processing Society together with researchers from allied fields such as bioinformatics,
communications, machine learning, and statistics. One of its key features is having all contributed and special sessions as poster sessions allowing extensive interaction and networking. The scientific program of SSP 2018 will include invited plenary talks, and regular and special sessions with contributed research papers. All submitted papers are reviewed by experts, and all accepted papers will be published on IEEEXplore.
We invite submitting original research papers on topics including, but not limited to, the following areas:
Submission of papers:
Prospective authors are invited to submit full papers, with up to four pages of technical content (references may be listed on a fifth page), using the template and formatting guidelines posted at www.ssp2018.org. All accepted papers must be presented at the workshop in order to be
included in the proceedings. There will be best student paper awards.
Submission of proposals for special sessions:
Special session proposals must include a title, rationale, session outline, list of invited papers, and contact information. Please refer to www.ssp2018.org for further information regarding the submission of proposals.
The conference will be held at the spectacular Historical Merchants' Hall, one of the most outstanding historical buildings in Freiburg dating back to the 14th century. It is situated in the historical center of the city right next to Freiburg cathedral and its main square, which features al fresco dining and boutique shopping.
Freiburg is a famous old university town, known for its high standard of living, its beautiful natural setting, and for being the sunniest and warmest city in Germany. It is located in the heart of the Baden wine-growing region close to the Swiss and French borders and serves as the main entry point to the breathtaking beauty of the Black Forest. Freiburg has a convenient high-speed train connection to Frankfurt International Airport.
For paper submission and more information about the workshop visit the workshop website http://ssp2018.org
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