| Internet-Draft | draft-kim-nmrg-nnmb5g-00 | October 2021 |
| Kim & Kim | Expires 28 April 2022 | [Page] |
This document is derived from the intelligent artificial intelligent (AI) network and autonomous security, network management intend-based technology to ensure constant security quality in B5G. SOAR (Security Orchestration Automation and Response) is needed by autonomous security and network management to optimize an adaptive B5G network. The purpose of this document is to confirm whether the requirements are reflected to future users and to develop and identify user provided by useful decision how to develop the system. This document also covers the user requirements for autonomous security and intend-based network management to ensure constant security quality on B5G.¶
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In order to respond to large-scale attacks on B5G communication infrastructure based on hyper-performance, hyperspace, the advanced security threats targeting new convergence services and intended super-trust-based security technology. It can both ensure constant security throughout on B5G infrastructure and relate the foundations aim to acquire skills. For native network management to optimize an adaptive B5G network based on SOAR, there are a lot of research fields to secure intend-based super-trust security skills and the related technology such as vulnerability analysis and security threat modeling to provide super-reliable infrastructure for B5G network, AI-based autonomous security and control framework to provide safe new convergence services in B5G, B5G-based station security to ensure availability of 3D mobile communication and quantum security technologies (PQC, QKD) of conversion methodology for B5G encryption system application.¶
The autonomous network concept is defined differently depending on the standardization organization, and these contents are as follows.¶
3GPP: SON (Self Organizing Networks)¶
ETS/ITU-T/GSMA: Autonomous Network¶
ETSI: ZSM (Zero touch network and Service Management)¶
Hauwei: AND (Autonomous Driving Network)¶
Juniper: SDN (Self Driving Network)¶
Cisco: DNA (Digital(Data) Network Architecture)¶
Ericson: ZTN (Zero Touch Network)¶
Autonomous networks levels can also be divided into six different levels.¶
Level 0 - Manual Network: The system is supported by monitoring function to manually execute dynamic tasks (SNMP, CLI)¶
Level 1 - Assisted Network: The system executes specific and repetitive subtasks that are preconfigured to increase execution efficiency (Tack-Centric)¶
Level 2 - Partial Autonomous Network: The system enables closed-loop O and M for specific devices based on AI models in specific external environments (Node-Centric)¶
Level 3 - Conditional Autonomous network: L2-based system has functions to detect real-time environment change, specific network domain and intention device. Semi-closed loop management is possible to optimize and adjust to the external environment (Service-Centric)¶
Level 4 - Highly autonomous Network: L3-based system has capabilities of service- and customer-experience-centric in a more complex cross-domain environment. It can analyze and make decisions based on predictive or active closed-loop management of the network (User-Centric)¶
Level 5 - Fully autonomous network: The system is a fully autonomous network with multi-services, multi-domains and full lifecycle (Value-Centric)¶
NWDAF is one of the network functions located on the control plane in the SBA structure of 5GC. It is based on 5G Core, MEC (Cloud) and user equipment (UE) in edge networks. It is also used with data collection and data analysis depending on application function (AF) and Operations and Administration Maintenance (OAM). The purpose of NWDAF is to simplify the complexity of interfacing with 5GC and 3rd analytic solution providers. 5GC-related data in NWDAF is collected with 5G network data and the data can be analyzed by machine learning and statistical analysis. The analyzed result data is provided to other 5G core network functions to optimize each network function and to improve performance as its main function.¶
+----+
+NF-1+----------------+--------------------+ +----+
+----+ + NWDAF +-------------+NF-1+
+-------------+ +-----+ + + +----+
+ Untrusted AF+---+NEF-1+--+ +
+-------------+ +-----+ + +--------------+ + +-----+
+----------+ + +analytic Model+ +-------------+NEF-1+
+Trusted AF+---------------+ +(Static, + + +-----+
+----------+ + + algorithm)-3 + +
+-----+ + +--------------+ +-------------------+
+UDR-1+---------------+ +
+-----+ + + +-----+
+-----+ + +-------------+OAM-2+
+OAM-2+---------------+ + +-----+
+-----+ +--------------------+
----------------------------------------------------------------------------
.................................................
. 1: Core NF 2: Network Management .
. 3: Proprietary Function .
.................................................
NFV (Network Functions Virtualization) Management and NFVO (NFV Orchestration): Identify network function (NF) lifecycle management procedures in virtualized environments¶
OSM (Open Source MANO): E2E Network Service Orchestrator (NFV + Slice + Cross Domain)¶
MEC (Multi access Edge Computing) Management, F5G (Fifth Generation Fixed Network)¶
ENI (Experiential Networked Intelligence):¶
(a)Cognitive Netwok Management architecture using AI and Context aware Polices¶
(b)Method to add intelligence to legacy systems¶
(c)Method between API Broker layer and Legacy System (OSS/BSS, NF, User, etc. and ENI system)¶
ZSM (Zero Touch Network and Service Management):¶
(a)Fully Autonomous Management and Operations Framework level¶
(b)Management Services of Domain, Unified Fabric and Cross Domain¶
(c)Closed Loop Control Acquisition, Analysis, Determination and Execution Method Actions¶
(D)Domain level Management, Cross Domain Level Management, Business Service Level Management¶
This document present to aim B5G-based autonomous security and intend framework based on the constant security quality guarantee to provide the super-trusted infrastructure of the new convergent network security service without cyber threats¶
It is necessary to verify native security element skill to analyze the detailed functions such as B5G wireless access, D2D and infrastructure virtualization. It is also needed to analyze B5G global network security-based intelligence and internalization technology, security vulnerability in flying base station and quantum security for security application system. We also propose of design of B5G native network management and requirement for B5G wireless access/D2D/infrastructure virtualization attack model, AI-based B5G autonomous security control of security native intelligence, networking security and intrusion detection in flying base station and quantum security for application of B5G security system. In addition, security native modeling and verification are also necessary in B5G native network management framework. [TM-Forum][ITU-T:Y.3172][ITU-T:Y.3173][ITU-T:Y.3174][ITU-T:Y.3176][FG-ML5G:spec1] [FG-ML5G:spec2][FG-ML5G:spec3][FG-ML5G:spec4][Y.ML:IMT2020-RAFR][TS23.288] [TR23.791][TR28.809][TR28.810][TR28.100][TR28.812][TR28.312][TR28.805] [TR28.535][TR28.536][TR28.861][TR28.313]¶
Above all, the first scope is to analyze of B5G wireless access/D2D/infrastructure virtualization elements and to define security requirements such as B5G wireless access, Ultra-high-density of B5G D2D and infrastructure virtualization. In next scope, there are B5G wireless access/D2D/infrastructure virtualization attack model development and threat analysis, design of AI-based B5G autonomous security control and security intelligence internalization concept. It is also necessary to design networking security, intrusion detection element technology in flying base station and design of quantum security technology for B5G security application. Verification of the contents in advance is also additionally required with the following scope.¶
There are no IANA considerations related to this document.¶
[TBD]¶