Preventing EFail Attacks with Client-Side WebAssembly: The Case of Swiss Post's IncaMail
June 23, 2023 Β· Declared Dead Β· π Distributed Event-Based Systems
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Pascal Gerig, JΓ€mes MΓ©nΓ©trey, Baptiste Lanoix, Florian Stoller, Pascal Felber, Marcelo Pasin, Valerio Schiavoni
arXiv ID
2306.13388
Category
cs.CR: Cryptography & Security
Citations
0
Venue
Distributed Event-Based Systems
Last Checked
4 months ago
Abstract
Traditional email encryption schemes are vulnerable to EFail attacks, which exploit the lack of message authentication by manipulating ciphertexts and exfiltrating plaintext via HTML backchannels. Swiss Post's IncaMail, a secure email service for transmitting legally binding, encrypted, and verifiable emails, counters EFail attacks using an authenticated-encryption with associated data (AEAD) encryption scheme to ensure message privacy and authentication between servers. IncaMail relies on a trusted infrastructure backend and encrypts messages per user policy. This paper presents a revised IncaMail architecture that offloads the majority of cryptographic operations to clients, offering benefits such as reduced computational load and energy footprint, relaxed trust assumptions, and per-message encryption key policies. Our proof-of-concept prototype and benchmarks demonstrate the robustness of the proposed scheme, with client-side WebAssembly-based cryptographic operations yielding significant performance improvements (up to ~14x) over conventional JavaScript implementations.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Cryptography & Security
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
The Limitations of Deep Learning in Adversarial Settings
R.I.P.
π»
Ghosted
Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks
R.I.P.
π»
Ghosted
Spectre Attacks: Exploiting Speculative Execution
R.I.P.
π»
Ghosted
How To Backdoor Federated Learning
R.I.P.
π»
Ghosted
Evasion Attacks against Machine Learning at Test Time
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted