Konrad-Felix Krentz (Uppsala University), Thiemo Voigt (Uppsala University, RISE Computer Science)

Object Security for Constrained RESTful Environments (OSCORE) is an end-to-end security solution for the Constrained Application Protocol (CoAP), which, in turn, is a lightweight application layer protocol for the Internet of things (IoT). The recently standardized Echo option allows OSCORE servers to check if a request was created recently. Previously, OSCORE only offered a counter-based replay protection, which is why delayed OSCORE requests were accepted as fresh. However, the Echo-based replay protection entails an additional round trip, thereby prolonging delays, increasing communication overhead, and deteriorating reliability. Moreover, OSCORE remains vulnerable to a denial-of-sleep attack. In this paper, we propose a version of OSCORE with a revised replay protection, namely OSCORE next-generation (OSCORE-NG). OSCORENG fixes OSCORE’s denial-of-sleep vulnerability and provides freshness guarantees that surpass those of the Echo-based replay protection, while dispensing with an additional round trip. Furthermore, in long-running sessions, OSCORE-NG incurs even less communication overhead than OSCORE’s counter-based replay protection. OSCORE-NG’s approach is to entangle timestamps in nonces. Except during synchronization, CoAP nodes truncate these timestamps in outgoing OSCORE-NG messages. Receivers fail to restore a timestamp if and only if an OSCORE-NG message is delayed by more than 7.848s in our implementation by default. In effect, older OSCORE-NG messages get rejected.

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Facilitating Non-Intrusive In-Vivo Firmware Testing with Stateless Instrumentation

Jiameng Shi (University of Georgia), Wenqiang Li (Independent Researcher), Wenwen Wang (University of Georgia), Le Guan (University of Georgia)

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EnclaveFuzz: Finding Vulnerabilities in SGX Applications

Liheng Chen (Institute of Information Engineering, Chinese Academy of Sciences; School of Cyber Security, University of Chinese Academy of Sciences; Institute for Network Science and Cyberspace of Tsinghua University), Zheming Li (Institute for Network Science and Cyberspace of Tsinghua University), Zheyu Ma (Institute for Network Science and Cyberspace of Tsinghua University), Yuan Li (Tsinghua University),…

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Strengthening Privacy in Robust Federated Learning through Secure Aggregation

Tianyue Chu, Devriş İşler (IMDEA Networks Institute & Universidad Carlos III de Madrid), Nikolaos Laoutaris (IMDEA Networks Institute)

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