Anxiao He (Zhejiang University), Jiandong Fu (Zhejiang University), Kai Bu (Zhejiang University), Ruiqi Zhou (Zhejiang University), Chenlu Miao (Zhejiang University), Kui Ren (Zhejiang University)

Path validation has long been explored as a fundamental solution to secure future Internet architectures. It enables end-hosts to specify forwarding paths for their traffic and to verify whether the traffic follows the specified paths. In comparison with the current Internet architecture that keeps packet forwarding uncontrolled and transparent to end-hosts, path validation benefits end-hosts with flexibility, security, and privacy. The key design enforces routers to embed their credentials into cryptographic proofs in packet headers. Such proofs require sufficiently complex computation to guarantee unforgeability. This imposes an inevitable barrier on validation efficiency for a single packet. In this paper, we propose aggregate validation to implement path validation in a group-wise way. Amortizing overhead across packets in a group, aggregate validation promises higher validation efficiency without sacrificing security. We implement aggregation validation through Symphony, with various design techniques integrated and security properties formally proved. In comparison with state-of-the-art EPIC, Symphony speeds up packet processing by 3.78 ×∼ 18.40 × and increases communication throughput by 1.13 ×∼ 6.11 ×.

View More Papers

EM Eye: Characterizing Electromagnetic Side-channel Eavesdropping on Embedded Cameras

Yan Long (University of Michigan), Qinhong Jiang (Zhejiang University), Chen Yan (Zhejiang University), Tobias Alam (University of Michigan), Xiaoyu Ji (Zhejiang University), Wenyuan Xu (Zhejiang University), Kevin Fu (Northeastern University)

Read More

When Cryptography Needs a Hand: Practical Post-Quantum Authentication for...

Geoff Twardokus (Rochester Institute of Technology), Nina Bindel (SandboxAQ), Hanif Rahbari (Rochester Institute of Technology), Sarah McCarthy (University of Waterloo)

Read More

Space-Domain AI Applications need Rigorous Security Risk Analysis

Alexandra Weber (Telespazio Germany GmbH), Peter Franke (Telespazio Germany GmbH)

Read More

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)

Read More