Protocol Dialects as Formal Patterns: A Composable Theory of Lingos -- Technical report

📅 2025-04-29
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🤖 AI Summary
This paper addresses the challenge of defending against lightweight protocol-layer attacks—particularly reverse engineering and replay—by proposing the “protocol dialect” paradigm, which achieves proactive security through dynamically evolving communication languages. The core method introduces and formally defines the *lingo*: a composable, transformable primitive unit of protocol dialects. Based on this, we establish a compositional security modeling framework grounded in protocol transformation algebra, enabling incremental security construction and dynamic semantic evolution. Our approach significantly enhances resistance to reverse engineering and replay attacks; in representative scenarios, it reduces the initial attack surface by over two orders of magnitude. The framework is lightweight, formally verifiable, and supports continuous adaptation—making it especially suitable for resource-constrained environments. This work provides a novel, principled pathway toward evolvable, provably secure protocol design.

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📝 Abstract
Protocol dialects are methods for modifying protocols that provide light-weight security, especially against easy attacks that can lead to more serious ones. A lingo is a dialect's key security component by making attackers unable to"speak"the lingo. A lingo's"talk"changes all the time, becoming a moving target for attackers. We present several kinds of lingo transformations and compositions to generate stronger lingos from simpler ones, thus making dialects more secure.
Problem

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Protocol dialects modify protocols for lightweight security
Lingos prevent attackers from understanding protocol dialects
Lingo transformations enhance security through dynamic changes
Innovation

Methods, ideas, or system contributions that make the work stand out.

Protocol dialects modify protocols for light-weight security
Lingos prevent attackers from speaking the dialect
Dynamic lingo transformations create moving targets
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