Stephen Herwig (William & Mary)

As multiple nations and enterprises embark on ambitious programs to explore our solar system, the success of their endeavor is intimately tied to the cooperative establishment of an efficient and secure Interplanetary Internet (IPN)—a deep space network designed for the challenges of long-distance and non-continuous communication. Unfortunately, the high latencies and low bandwidth of deep space stymie the IPN’s adoption of the Internet’s security protocols. In this paper, we advocate the construction of new security protocols specifically designed for the constraints of space networks and based in modern cryptographic constructs for functional encryption. We argue that such protocols could securely support a range of properties beneficial to space communication, including group messaging, in-network processing, and anonymity, and discuss the open questions and research challenges of this proposal.

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Do Not Give a Dog Bread Every Time He...

Chongqing Lei (Southeast University), Zhen Ling (Southeast University), Yue Zhang (Jinan University), Kai Dong (Southeast University), Kaizheng Liu (Southeast University), Junzhou Luo (Southeast University), Xinwen Fu (University of Massachusetts Lowell)

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Attacks as Defenses: Designing Robust Audio CAPTCHAs Using Attacks...

Hadi Abdullah (Visa Research), Aditya Karlekar (University of Florida), Saurabh Prasad (University of Florida), Muhammad Sajidur Rahman (University of Florida), Logan Blue (University of Florida), Luke A. Bauer (University of Florida), Vincent Bindschaedler (University of Florida), Patrick Traynor (University of Florida)

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Measuring Messengers: Analyzing Infrastructures and Message Timings to Extract...

Theodor Schnitzler (Research Center Trustworthy Data Science and Security, TU Dortmund, and Ruhr-Universität Bochum)

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Detection and Resolution of Control Decision Anomalies

Prof. Kang Shin (Kevin and Nancy O'Connor Professor of Computer Science, and the Founding Director of the Real-Time Computing Laboratory (RTCL) in the Electrical Engineering and Computer Science Department at the University of Michigan)

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