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 IEEE Board of Directors has approved the 2019 IEEE Technical Field Awards. The complete list of recipients and their citations is online at www.ieee.org/awards. Please feel free to send your notes of congratulations and to publicize the recipients within your IEEE and professional affiliations.
The following list reflects signal processing related and/or SPS Member award recipients:
The IEEE James L. Flanagan Speech and Audio Processing Award recognizes outstanding contribution to the advancement of speech and/or audio signal processing was awarded to Hermann Ney "for pioneering contributions to statistical and computational modeling for speech recognition and machine translation."
The IEEE Fourier Award for Signal Processing recognizes an outstanding contribution to the advancement of signal processing, other than in the areas of speech and audio processing was awarded to Alan C. Bovik "for seminal contributions and high-impact innovations to the theory and application of perception-based image and video processing.”
The IEEE Leon K. Kirchmayer Graduate Teaching Award recognizes inspirational teaching of graduate students in the IEEE fields of interest was awarded to Gregory Wornell "for leadership in the mentoring of research students and in the development of graduate curricula that incorporate cutting-edge research perspectives."
The IEEE Kiyo Tomiyasu Award recognizes outstanding early to mid-career contributions to technologies holding the promise of innovative applications was awarded to SPS Member, Robert W. Heath, Jr. and Jeffrey G. Andrews "for contributions to wireless communication systems."
The IEEE Undergraduate Teaching Award rrecognizes inspirational teaching of undergraduate students in the fields of interest of IEEE was awarded to Lisa Gresham Huettel "for leadership in curriculum development as well as teaching and mentoring of undergraduate students in electrical and computer engineering."
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