Consideration of Applying Zero Trust Philosophy in Network Infrastructure
draft-li-zt-consideration-04
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| Document | Type | Active Internet-Draft (individual) | |
|---|---|---|---|
| Authors | Xueting Li , Aijun Wang , iqjie@mail.ustc.edu.cn , Wenhao Li | ||
| Last updated | 2026-07-20 | ||
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draft-li-zt-consideration-04
Zero Trust Working Group X. Li
Internet-Draft A. Wang
Intended status: Informational J. Chen
Expires: 21 January 2027 W. Li
China Telecom
20 July 2026
Consideration of Applying Zero Trust Philosophy in Network
Infrastructure
draft-li-zt-consideration-04
Abstract
Network security has traditionally relied on a perimeter-centric
model, assuming that traffic originating within the network can be
implicitly trusted. This model is fundamentally challenged by
modern, highly distributed, and software-driven network environments
where internal compromise is a realistic and high-impact threat
scenario. This document examines the critical limitations of edge-
only network protection and the systemic risks that arise from
insufficient internal validation. Once the network perimeter is
bypassed, the absence of internal protection mechanisms facilitates
rapid lateral movement, impersonation of network entities, and
interference with critical control and management functions.
The document argues that Zero Trust (ZT) principles, which mandate
continuous, dynamic verification of all entities and communications
regardless of network location, are necessary to address contemporary
threat models. Deploying ZT-aligned network protection mechanisms
beyond the network edge is essential to build resilient,
controllable, and trustworthy networks.
Status of This Memo
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This Internet-Draft will expire on 21 January 2027.
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Table of Contents
1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . 2
2. Conventions used in this document . . . . . . . . . . . . . . 3
3. Terminology . . . . . . . . . . . . . . . . . . . . . . . . . 3
4. Current State of Network Protection . . . . . . . . . . . . . 4
5. Risks of the Perimeter-Centric Model . . . . . . . . . . . . 4
5.1. Data Plane Risks: Unrestricted Lateral Movement . . . . . 4
5.2. Control Plane Risks: Integrity Exposure . . . . . . . . . 5
5.3. Management Plane Risks: API and Orchestration
Vulnerability . . . . . . . . . . . . . . . . . . . . . . 5
6. Necessity of Zero Trust Deployment Within the Network . . . . 5
7. Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . 6
8. Security Considerations . . . . . . . . . . . . . . . . . . . 6
9. IANA Considerations . . . . . . . . . . . . . . . . . . . . . 7
10. Acknowledgement . . . . . . . . . . . . . . . . . . . . . . . 7
11. References . . . . . . . . . . . . . . . . . . . . . . . . . 7
11.1. Normative References . . . . . . . . . . . . . . . . . . 7
11.2. Informative References . . . . . . . . . . . . . . . . . 7
Authors' Addresses . . . . . . . . . . . . . . . . . . . . . . . 7
1. Introduction
Traditional network security architectures in operator and enterprise
environments have long been built around a perimeter-centric
protection model. In this model, security mechanisms are primarily
deployed at network edges—such as access networks [RFC2827], inter-
domain boundaries, or gateway nodes—under the core assumption that
traffic originating inside the network can be inherently trusted once
it passes the perimeter. This assumption of Implicit Trust reflected
earlier network environments in which infrastructures were relatively
static, tightly controlled, and operational roles were clearly
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separated. In such contexts, perimeter-based protection provided a
reasonable balance between security and operational complexity.
Modern networks, however, have evolved into highly distributed,
virtualized, and software-driven systems. Automated orchestration,
programmable control planes [RFC7426], open management interfaces,
and closed-loop control systems significantly expand the internal
attack surface and increase the potential impact of internal failures
or compromise. As a result, threats originating from within the
network can no longer be treated as exceptional or out of scope. The
reliance on Implicit Trust within the network creates a structural
mismatch between the threat environment and deployed protection
mechanisms.
This document examines the limitations of the perimeter-centric model
and the necessity of applying Zero Trust principles to network
protection itself. Zero Trust rejects trust based on network
location and emphasizes continuous verification of entities and
communications. Applying these principles within the network enables
more robust containment of compromise and improved resilience of
network operations.
2. Conventions used in this document
The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT",
"SHOULD", "SHOULD NOT", "RECOMMENDED", "MAY", and "OPTIONAL" in this
document are to be interpreted as described in RFC 2119 [RFC2119] .
3. Terminology
The following terms are defined in this document:
* ZTA: Zero Trust Architecture. An evolving set of cybersecurity
paradigms that move defenses from static, network-based perimeters
to focus on users, assets, and resources.
* Implicit Trust: The assumption that an entity (user, device,
traffic flow) is trustworthy solely because of its network
location (e.g., being inside the network perimeter).
* Lateral Movement: The technique used by attackers to progressively
move deeper into a network from an initial point of compromise,
often by exploiting Implicit Trust.
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4. Current State of Network Protection
In today’s operational networks, the dominant security paradigm
remains perimeter-centric. Most protection mechanisms are
concentrated at the network boundary, reflecting the historical
assumption of Implicit Trust for internal traffic. Common practices
include:
* Traffic filtering, access control, and anomaly detection primarily
enforced at ingress or egress points.[RFC2827]
* Security inspection and policy enforcement focused on customer-
facing interfaces and inter-domain links.
* Limited or coarse-grained security controls within the internal
network, where routers, switches, virtualized network functions,
and control systems are often treated as mutually trusted.
This architectural approach originated in an era when networks were
relatively static and infrastructure components were physically
isolated. Under such conditions, deploying strong security controls
only at the boundary was often sufficient and operationally
efficient. However, the shift to virtualized, cloud-native, and
software-driven networks has rendered this model increasingly
fragile.
5. Risks of the Perimeter-Centric Model
A security architecture that relies primarily on edge-based
protection exhibits a critical weakness: once the perimeter is
breached, the internal network is left largely unprotected. This
creates a "hard shell, soft interior" structure, leading to systemic
risks across the network planes.
5.1. Data Plane Risks: Unrestricted Lateral Movement
The core risk is the unrestricted lateral movement of an attacker who
gains an initial foothold inside the network. Because internal
traffic is subject to minimal verification, a compromised node can
move across internal segments with limited resistance, accessing
additional systems and services. Furthermore, the lack of internal
validation mechanisms means that compromised nodes can easily
impersonate other network elements or services, undermining trust
relationships within the network. While edge-based mechanisms
address external spoofing, they do not prevent a compromised internal
entity from spoofing other internal entities.
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5.2. Control Plane Risks: Integrity Exposure
Internal control protocols (e.g., routing, signaling) and management
interfaces are often designed with the assumption of Implicit Trust.
This exposure is critical because:
* Control protocols may accept unauthenticated or insufficiently
verified traffic, enabling disruption or manipulation of network
operations (e.g., malicious routing updates).
* In automated and intelligent networks, incorrect or malicious
internal signals can trigger large-scale misconfigurations or
service disruptions, as autonomous control loops amplify the
original compromise.
5.3. Management Plane Risks: API and Orchestration Vulnerability
Modern networks rely heavily on open APIs, software-defined
networking (SDN) controllers [RFC7426], and automated orchestration
systems. These systems manage the entire network state, making them
high-value targets for attackers. If an attacker gains access to the
management plane through a compromised internal entity, they can
leverage the Implicit Trust to execute high-impact actions, such as
reconfiguring security policies, redirecting traffic, or disabling
critical network functions.
A critical gap in management plane security for core routers and
critical infrastructure lies in the absence of unified standards.
Key security data lacks consistent definition and format, with no
universal benchmarks for detection items or protection mechanisms.
Collected data, detection alerts and result data also lack a unified
exchange protocol, leading to insecure or inconsistent transmission.
These gaps create security blind spots, enabling undetected
intrusions and lateral movement that threaten core network stability
under the Implicit Trust model.
6. Necessity of Zero Trust Deployment Within the Network
Zero Trust (ZT) principles address these challenges by eliminating
Implicit Trust and requiring continuous, dynamic verification across
the entire network. Trust is never implicit and must be continuously
reassessed based on identity, context, and behavior. This approach
is necessary for network protection for several reasons:
* Elimination of Trust-by-Location: Network nodes and traffic are no
longer trusted solely because they originate from internal
segments, forcing explicit authentication and authorization for
all interactions.
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* Containment of Compromise: Security enforcement at multiple
internal points limits the "blast radius" of a compromised
component and restricts lateral movement, transforming the network
from a soft interior to a segmented, hardened structure.
* Improved Integrity of Control and Management Functions: Continuous
verification helps ensure that routing, orchestration, and
monitoring systems operate on trustworthy inputs, which is vital
for the stability of automated network operations.
* Resilience and Compliance: ZT provides a framework for building
networks that are inherently more resilient to internal threats
and better aligned with modern security compliance mandates.
Applying Zero Trust to network protection implies that internal
communications, forwarding behaviors, and control interactions must
be subject to security enforcement similar to that applied at the
perimeter. This requires the development of network mechanisms that
can enforce policy based on identity and context, rather than just
network address and location.
7. Conclusion
The evolution of network architectures and threat models has rendered
traditional edge-only security approaches insufficient. While
perimeter defenses remain necessary, they are no longer adequate on
their own. A breach at the boundary can expose the internal network
to rapid and wide-ranging compromise. Adopting Zero Trust principles
within the network is therefore not optional, but essential. By
shifting from static, perimeter-based trust to dynamic, continuous
verification across all network segments, operators can build more
resilient, controllable, and trustworthy networks. Zero Trust-
aligned network protection transforms security from a boundary
function into an intrinsic property of the network itself, better
suited to the demands of modern and future network environments.
8. Security Considerations
This document is a Problem Statement and does not propose a solution.
However, the deployment of Zero Trust principles within the network
introduces its own set of security and operational considerations
that must be addressed by any future solution. These include:
* Performance Overhead: Continuous verification and policy
enforcement at multiple internal points may introduce latency and
performance overhead to the data plane.
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* Reliability and Availability: The Policy Decision Point (PDP) and
Policy Enforcement Point (PEP) components of a ZT architecture
represent critical infrastructure. Their failure could lead to
network disruption or denial of service.
* Policy Complexity: Managing fine-grained, dynamic policies across
a large, distributed network is complex and requires robust
automation and orchestration to avoid misconfiguration and policy
conflicts.
9. IANA Considerations
TBD
10. Acknowledgement
TBD
11. References
11.1. Normative References
[RFC2119] Bradner, S., "Key words for use in RFCs to Indicate
Requirement Levels", BCP 14, RFC 2119,
DOI 10.17487/RFC2119, March 1997,
<https://www.rfc-editor.org/info/rfc2119>.
[RFC2827] Ferguson, P. and D. Senie, "Network Ingress Filtering:
Defeating Denial of Service Attacks which employ IP Source
Address Spoofing", BCP 38, RFC 2827, DOI 10.17487/RFC2827,
May 2000, <https://www.rfc-editor.org/info/rfc2827>.
[RFC7426] Haleplidis, E., Ed., Pentikousis, K., Ed., Denazis, S.,
Hadi Salim, J., Meyer, D., and O. Koufopavlou, "Software-
Defined Networking (SDN): Layers and Architecture
Terminology", RFC 7426, DOI 10.17487/RFC7426, January
2015, <https://www.rfc-editor.org/info/rfc7426>.
11.2. Informative References
Authors' Addresses
Xueting Li
China Telecom
Beiqijia Town, Changping District
Beijing
Beijing, 102209
China
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Email: lixt2@foxmail.com
Aijun Wang
China Telecom
Beiqijia Town, Changping District
Beijing
Beijing, 102209
China
Email: wangaj3@chinatelecom.cn
Jie Chen
China Telecom
Zhongshan Avenue, Tianhe District
Guangzhou
Guangzhou, 510600
China
Email: chenj135@chinatelecom.cn
Wenhao Li
China Telecom
Zhongshan Avenue, Tianhe District
Guangzhou
Guangzhou, 510600
China
Email: liwh21@chinatelecom.cn
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