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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Following on the success of the bi-annual ASRU workshop over the past few decades, the IEEE Speech and Language Technical Committee invites proposals to host the 2019 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU-2019). Past ASRU workshops have fostered a collegiate atmosphere through a thoughtful selection of venues, thus offering a unique opportunity for researchers to interact and learn.
The proposal should include the information outlined below.
The deadline for proposals is Friday, June 1, 2018. Send proposals and questions to the workshop sub-committee: Jason Williams (firstname.lastname@example.org), Raul Fernandez (email@example.com), Tim Fingscheidt (firstname.lastname@example.org), and Kai Yu (email@example.com). In June, the IEEE SLTC will review proposals, and selection results are expected by July 1, 2018.
If you are interested in submitting a proposal, we encourage you to contact the workshop sub-committee in advance of submitting a proposal. They can provide an example of a past successful proposal and example budget. Further, proposers who make contact before Friday 6 April 2018 may be invited to briefly present in-person at the annual IEEE SLTC meeting at ICASSP 2018, 15-20 April 2018, in Calgary, Alberta, Canada, to obtain feedback from the SLTC (https://2018.ieeeicassp.org/). Presentations should be reasonably specific but need not be complete. Note that the SLTC does not have funding available for travel to ICASSP.
The organizers of the ASRU workshop do not have to be SLTC members, and we encourage submissions from all potential organizers. IEEE SLTC members are welcome to participate on proposals, and the organizing committees of past ASRU events have included many SLTC members. To maintain fairness of selection, SLTC members who are affiliated with an ASRU 2019 proposal will not participate in the ASRU 2019 selection vote. Further, the members of the workshops sub-committee may not be affiliated with any ASRU 2019 proposal. Please feel free to distribute this call for proposals far and wide, and invite members of the speech and language community at large to submit a proposal to organize the next ASRU workshop.
For more information on the most recent workshops, please see:
https://asru2017.org for information about ASRU 2017 in Okinawa, Japan
http://asru2015.org for information about ASRU 2015 in Scottsdale, Arizona
http://asru2013.org for information about ASRU 2013 in Olomouc, Czech Republic
And feel free to contact the workshops sub-committee with questions.
Jason Williams (firstname.lastname@example.org(link sends e-mail))
Raul Fernandez (email@example.com(link sends e-mail))
Tim Fingscheidt (firstname.lastname@example.org(link sends e-mail))
Kai Yu (email@example.com(link sends e-mail))
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