Hyunwoo Lee (Seoul National University), Zach Smith (University of Luxembourg), Junghwan Lim (Seoul National University), Gyeongjae Choi (Seoul National University), Selin Chun (Seoul National University), Taejoong Chung (Rochester Institute of Technology), Ted "Taekyoung" Kwon (Seoul National University)

Middleboxes (MBs) are widely deployed in order to enhance security and performance in networking.
However, as the communications over the TLS become increasingly common, the end-to-end channel model of the TLS undermines the efficacy of MBs.
Existing solutions, such as `split TLS' that intercepts TLS sessions, often introduce significant security risks by installing a custom root certificate or sharing a private key.
Many studies have confirmed the vulnerabilities of combining the TLS with MBs, which include certificate validation failures, unwanted content modification, and using obsolete ciphersuites.
To address the above issues, we introduce an MB-aware TLS protocol, dubbed maTLS, that allows MBs to participate in the TLS in a visible and accountable fashion.
Every participating MB now splits a session into two segments with its own security parameters in collaboration with the two endpoints.
However, the session is still secure as the maTLS protocol is designed to achieve the authentication of MBs, the audit of MBs' operations, and the verification of security parameters of segments.
We carry out testbed-based experiments to show that maTLS achieves the above security goals with marginal overhead.
We also prove the security model of maTLS by using Tamarin, a security verification tool.

View More Papers

coucouArray ( [post_type] => ndss-paper [post_status] => publish [posts_per_page] => 4 [orderby] => rand [tax_query] => Array ( [0] => Array ( [taxonomy] => category [field] => id [terms] => Array ( [0] => 34 ) ) ) [post__not_in] => Array ( [0] => 4591 ) )

TEE-aided Write Protection Against Privileged Data Tampering

Lianying Zhao (Concordia University), Mohammad Mannan (Concordia University)

Read More

Time Does Not Heal All Wounds: A Longitudinal Analysis...

Meng Luo (Stony Brook University), Pierre Laperdrix (Stony Brook University), Nima Honarmand (Stony Brook University), Nick Nikiforakis (Stony Brook University)

Read More

Enemy At the Gateways: Censorship-Resilient Proxy Distribution Using Game...

Milad Nasr (University of Massachusetts Amherst), Sadegh Farhang (Pennsylvania State University), Amir Houmansadr (University of Massachusetts Amherst), Jens Grossklags (Technical University of Munich)

Read More

Sereum: Protecting Existing Smart Contracts Against Re-Entrancy Attacks

Michael Rodler (University of Duisburg-Essen), Wenting Li (NEC Laboratories, Germany), Ghassan O. Karame (NEC Laboratories, Germany), Lucas Davi (University of Duisburg-Essen)

Read More

Privacy Starts with UI: Privacy Patterns and Designer Perspectives in UI/UX Practice

Anxhela Maloku (Technical University of Munich), Alexandra Klymenko (Technical University of Munich), Stephen Meisenbacher (Technical University of Munich), Florian Matthes (Technical University of Munich)

Vision: Profiling Human Attackers: Personality and Behavioral Patterns in Deceptive Multi-Stage CTF Challenges

Khalid Alasiri (School of Computing and Augmented Intelligence Arizona State University), Rakibul Hasan (School of Computing and Augmented Intelligence Arizona State University)

From Underground to Mainstream Marketplaces: Measuring AI-Enabled NSFW Deepfakes on Fiverr

Mohamed Moustafa Dawoud (University of California, Santa Cruz), Alejandro Cuevas (Princeton University), Ram Sundara Raman (University of California, Santa Cruz)