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<reference anchor="I-D.helmprotocol-tttps" target="https://datatracker.ietf.org/doc/html/draft-helmprotocol-tttps-01">
   <front>
      <title>The TLS TimeToken Secure Protocol (tttps://)</title>
      <author initials="D." surname="장동호" fullname="장동호">
         <organization>Kenosian</organization>
      </author>
      <date month="April" day="8" year="2026" />
      <abstract>
	 <t>   This document specifies the TLS TimeToken Secure Protocol (tttps://),
   a protocol extension that augments TLS 1.3 [RFC8446] with
   cryptographically verifiable temporal ordering.

   Internet infrastructure assumes that channels are passive: noise is
   random and channel operators have no ordering preferences. This
   assumption is structurally violated when ordering has economic value
   -- NTP servers, BGP routing authorities, DNS resolvers, and
   transaction sequencers all have incentive to misrepresent ordering.
   This document formalises the problem as the Strategic Channel
   Controller Problem (SCCP), absent from classical information theory.

   Temporal ordering attacks are structurally more acute for autonomous
   AI agents than for human participants: as agent reaction times
   converge toward symmetry, ordering advantage can no longer be earned
   through superior human latency.  No existing protocol -- including
   O(n^2) BFT consensus, which tolerates but does not eliminate
   Byzantine nodes -- provides a cryptographic pre-ingestion defense for
   this case.

   TTTPS introduces Proof-of-Time (PoT): a multi-source synthesised
   timestamp protected by the GRG integrity pipeline (Golomb-Rice -&gt;
   Reed-Solomon -&gt; Golay(23,12,7) -&gt; HMAC), whose stage ordering is
   mathematically necessary (Theorems 1-3 of the companion paper
   [POT2026]).  PoT achieves Byzantine temporal elimination at O(1) per
   record, independent of network size. An AdaptiveSwitch mechanism
   makes ordering manipulation economically self-defeating; the
   equilibrium threshold is derived in closed form and empirically
   calibrated from deployed data (Section 6.4).

   Deployment on Base Sepolia produces 70,000+ verified records; 55% are
   generated by autonomous AI agents -- an unanticipated finding that
   confirms the structural severity of the ordering problem in agent
   economies.

   This document has Experimental status.  The GRG pipeline
   specification will be published upon conclusion of pending patent
   proceedings (Section 12).

	 </t>
      </abstract>
   </front>
   <seriesInfo name="Internet-Draft" value="draft-helmprotocol-tttps-01" />
   
</reference>
