April 12, 2026
Checklist for Deploying 5G in Assembly Lines
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Private 5G networks are transforming industries with faster speeds, lower latency, and greater coverage than WiFi. But these benefits come with serious security risks, especially for IoT devices. Weak points like expanded attack surfaces, misconfigurations, and outdated protocols can leave networks vulnerable to cyberattacks.
To secure private 5G IoT environments effectively, focus on these key measures:
Solutions like Firecell integrate these practices with secure hardware, end-to-end encryption, and real-time monitoring, ensuring safer IoT operations in private 5G networks. By combining these strategies, organisations can protect critical infrastructure and maintain operational stability.
5 Essential Security Measures for Private 5G IoT Networks
Private 5G networks rely on carrier-grade SIM authentication, which far surpasses the security of traditional password-based WiFi systems. The 5G-AKA protocol ensures mutual authentication by verifying both the device and the network, effectively guarding against man-in-the-middle attacks.
One standout feature of 5G is the Subscription Concealed Identifier (SUCI). Unlike earlier cellular networks that transmitted permanent identifiers in cleartext, SUCI encrypts the SUPI (Subscription Permanent Identifier) using public-key cryptography. Additionally, tamper-resistant UICC/USIM hardware ensures that credentials cannot be extracted.
"Identity validation is therefore not an inventory exercise – it is the architectural gate through which all connectivity begins." – Hema Kadia, TeckNexus
Post-authentication, implementing Role-Based Access Control (RBAC) or Attribute-Based Access Control (ABAC) is essential. These frameworks ensure that authenticated devices only access resources necessary for their specific role. By separating authentication (proving identity) from authorisation (defining permissions), networks achieve a stronger and more layered security approach.
This advanced authentication system forms the foundation for defending against identity-based threats.
Beyond authentication, securing device identities is critical to tackling identity-based vulnerabilities.
In older 3G/4G networks, IMSI-catching exposed device identifiers, making them vulnerable to tracking and interception. However, with 5G’s SUCI implementation, permanent identifiers are no longer transmitted in cleartext, eliminating this risk. Organisations must configure private 5G networks to prioritise SUCI and avoid reverting to outdated transmission methods.
Other essential practices include:
To safeguard data effectively, use AES-256 for data at rest and TLS 1.3 for data in transit. This combination ensures a high level of confidentiality while keeping latency low. It’s essential to disable older protocols like TLS 1.0 and 1.1 to prevent downgrade attacks. The National Cyber Security Centre (NCSC) advises: "User data transiting networks should be adequately protected against tampering and eavesdropping".
A hybrid approach that combines AES encryption with RSA key exchange can improve throughput by up to 30% and reduce data expansion by 10–15%. This is particularly useful for IoT devices with limited resources. For private high-speed links, MACsec (IEEE 802.1AE) offers hardware-level encryption at Layer 2, securing data as it moves across dedicated fibre circuits.
To strengthen security further, use hardware-based solutions like TPM 2.0 for secure key storage. Regularly update X.509 certificates via over-the-air (OTA) mechanisms to prevent expired credentials from weakening the system. The Information Commissioner’s Office (ICO) highlights: "Encryption is widely available and doesn’t have to be expensive," while the NCSC warns: "poorly chosen mechanisms or weak or poorly implemented algorithms often result in little or no security gains and may provide a false sense of security".
Organisations should classify IoT data into categories such as public or highly confidential before applying encryption. This targeted approach avoids performance penalties for non-sensitive telemetry while ensuring critical data is appropriately protected. As quantum computing advances, adopting quantum-resistant algorithms like CRYSTALS-Kyber will become crucial to defend 5G networks against potential decryption threats posed by quantum technologies.
Encryption is just one piece of the puzzle. Ensuring data integrity is equally vital to prevent tampering during transmission and storage.
Encryption alone does not confirm data integrity. To detect tampering, implement SHA-2 hashing algorithms (e.g., SHA-256 or SHA-512) and enforce integrity protection on RRC and NAS signalling in 5G networks.
While integrity protection for the User Plane in 5G is optional, organisations managing sensitive industrial IoT data should enable this feature based on their security needs. Use TLS 1.2 or newer and OAuth 2.0 token-based authentication to ensure authorised access to networks and maintain service integrity. Hybrid cryptographic frameworks can further enhance security by employing dynamic round key generation, which strengthens resistance to brute-force and differential cryptanalytic attacks.
Zero-trust security shifts away from traditional perimeter-based defences, focusing instead on continuous verification for every access request. This means no device or user is trusted by default, even if they are inside the network boundary. Every interaction undergoes dynamic policy checks to ensure security.
A key component of zero-trust is Role-Based Access Control (RBAC), which restricts users and devices to the minimum access necessary to perform their tasks. For example, in private 5G environments, administrative accounts are reviewed every 90 days. If access isn’t explicitly reapproved, it’s automatically revoked, reducing the risk of dormant accounts being exploited.
Another important feature is micro-segmentation, which isolates IoT devices to prevent attackers from moving laterally within the network if one device is compromised. In January 2026, the Wireless Broadband Alliance introduced a unified zero-trust framework that integrates private 5G and Wi-Fi security, moving away from isolated approaches. Tiago Rodrigues, President and CEO of the Wireless Broadband Alliance, highlighted the significance of this development:
"By bringing Wi-Fi and 5G under a common security framework, the industry can accelerate digital transformation without compromising resilience or interoperability. This report sets out a clear path to secure, converged networks built on open standards, Zero Trust design and shared threat intelligence".
In private 5G setups, the User Plane Function (UPF) acts as a checkpoint, ensuring that only authenticated and authorised devices can transmit data. Malformed or unauthorised data flows are automatically dropped, adding another layer of security.
These principles are further strengthened through precise network segmentation, which limits potential threats from spreading within private 5G networks.
With continuous identity checks in place, segmenting the network adds an extra layer of protection by limiting the scope of any potential breach.
One effective method is VLAN-based separation, which assigns distinct VLANs to different network functions, such as packet core management, the control plane, data plane, and radio network connectivity. This separation ensures that a breach in one segment doesn’t compromise the entire network.
Another approach is network slicing, which creates multiple virtual networks, each with its own tailored security policies. However, it’s crucial to enforce strict configuration controls to prevent vulnerabilities between slices.
Physical security also plays a vital role. Edge nodes for the 5G packet core should be housed in secure, access-controlled facilities with logged entries. On top of this, external firewalls and traffic inspection engines should be deployed to monitor data flows and protect the private 5G network. For high-bandwidth environments, integrating DDoS protection mechanisms into the user plane is essential to maintain network stability.
Gino Corleto, Project Leader and Industry Solutions Architect at Cisco, emphasised the importance of unifying security strategies:
"This report provides a clear, actionable framework to help organisations unify their security policies and apply Zero-Trust principles across diverse networks. By bridging the gap between Private 5G and established enterprise security practices, we’re enabling organisations to confidently adopt new technologies".
Secure integration also relies on open interfaces and protocols. Technologies like REST APIs and pxGrid enable seamless, two-way data exchange between 5G, Wi-Fi, and enterprise IT systems.
Detecting threats in a timely manner is a major challenge in private 5G networks, especially with the sheer volume of data generated – up to one million devices per square kilometre. Traditional rule-based systems struggle to keep up with this scale, leaving gaps in security.
This is where AI-driven analytics step in, identifying unusual patterns in real time. By using methods like autoencoders and LSTM networks, AI can detect advanced threats, including zero-day vulnerabilities, DDoS attacks, and spoofing attempts. These systems analyse deviations from normal behaviour with impressive results, achieving detection accuracy rates of up to 97.6%, F1-scores exceeding 0.91, and response times under 20 milliseconds.
Another breakthrough is federated learning, which enables edge nodes to collaboratively train security models without sharing raw data. This approach not only preserves privacy but also strengthens threat intelligence across the network. Researchers from the University of Portsmouth explain:
"Edge nodes act as dual-role agents: they autonomously classify local behaviour for immediate response whilst collaboratively training global models to improve overall system intelligence".
AI also leverages reinforcement learning to adapt defence strategies dynamically, responding to new attack patterns as they emerge. Tools like SHAP (Shapley Additive Explanations) monitor these AI models for drift, ensuring they remain accurate over time.
This advanced AI framework forms a key pillar of security, seamlessly complementing other monitoring tools.
While AI excels at rapid threat detection, traditional monitoring systems remain vital for a well-rounded security strategy. SIEM (Security Information and Event Management) platforms collect and correlate data from multiple sources, while SOAR (Security Orchestration, Automation, and Response) systems automate responses, such as isolating compromised devices or resetting sessions as soon as threats are identified.
Effective monitoring involves a layered telemetry approach that tracks physical metrics like RSSI and CQI, SDN flow records, and API traces. This multi-layered strategy ensures context-aware detection across the entire 5G network.
Integration with SDN controllers adds another layer of defence. When a threat is identified, automated policies can immediately block lateral movement or quarantine affected devices – no human intervention required.
To guard against model poisoning from compromised IoT nodes, methods like Byzantine-resilient aggregation (e.g., Krum or trimmed mean) are employed. These techniques ensure that malicious updates cannot corrupt the global security model.
Together, these monitoring systems and AI-driven analytics create a robust security framework, ready to tackle the challenges of private 5G IoT environments.
Firecell’s private 5G solutions are designed with robust security measures to protect IoT networks. By employing hardware-based authentication through physical SIM and eSIM cards, Firecell ensures credentials are securely stored, making them resistant to cloning or sharing. This setup supports a zero-trust model by allowing only verified devices to access the network.
The system’s core network rigorously checks each device’s identity before granting access. Communication security is bolstered with end-to-end encryption tailored for industrial IoT use cases. Additionally, an integrated Intrusion Detection System (IDS) actively monitors for any suspicious activity in real time. To further enhance security, Firecell uses network slicing to segment and isolate device groups or data streams, reducing the risk of lateral threats in case of a breach.
On the physical side, Firecell leverages private licensed frequencies, avoiding the interference issues typically seen in unlicensed Wi-Fi bands. The system also integrates seamlessly with existing enterprise LANs, assigning UE IP addresses via the organisation’s DHCP server, providing consistent security across both wired and wireless networks. Dr Richard Candell of NIST highlighted this capability:
"Having full visibility on the core and radio access network (RAN) and their different interfaces is unique and one of the key factors behind NIST choosing Firecell’s Labkit".
These security features are paired with flexible testing and deployment options to suit various operational needs.
Firecell’s solutions include a structured testing approach to ensure security protocols are reliable before full-scale deployment. The Orion Labkit (£11,900 one-off, £5,580 annually) supports testing in areas ranging from 10m² to 1,000m². This controlled environment is ideal for evaluating 5G-enabled devices like AGVs, AMRs, and industrial routers. Rafael Gonzalez Ayestaran from the University of Oviedo shared his experience:
"I would definitely recommend the 4G & 5G Labkit, for the same reason it was recommended to me: It’s useful, affordable and quick to set up".
For larger-scale operations, the Pegasus Network can cover areas exceeding 10,000m² with up to 10 access points. This setup is highly efficient, requiring significantly fewer access points than traditional Wi-Fi – 5 to 20 times less – while delivering latency under 20ms, compared to Wi-Fi’s typical 200ms. A user-friendly Network Management System allows IT teams to manage SIM cards and monitor security without needing telecom-specific expertise. For organisations seeking a subscription model, Firecell offers a plan at £99 per 1,000m² per month, which includes installation, maintenance, and monitoring software for facilities over 10,000m².
To effectively secure IoT devices within private 5G networks, a cohesive, multi-layered security approach is essential. As Enrico Milanese from Telit points out:
"5G cybersecurity must be built-in by design as an integral part of the system architecture".
This involves moving beyond conventional perimeter defences to adopt measures like hardware-anchored authentication, integrated end-to-end encryption, zero-trust principles, and ongoing monitoring. These strategies establish a strong security foundation that meets the rigorous demands of industrial IoT.
AI-powered real-time monitoring plays a crucial role, enabling organisations to identify and address threats like DDoS attacks and man-in-the-middle breaches as they evolve. By aligning private 5G security with existing IT and OT systems, organisations gain unified visibility, making it easier to enforce policies and manage threats.
Additional practical steps – such as regular access reviews, linking SIM cards to device IDs, and deploying secure edge nodes – further strengthen these defences. Coupled with private 5G’s performance benefits, including speeds reaching 10 Gbps, latency under 10 ms, and coverage areas of up to 46,500 m² per access point, these measures represent the key practices for securing private 5G IoT setups.
Solutions like Firecell illustrate how these strategies can be applied effectively, offering businesses the flexibility, scalability, and security needed for critical operations – all while ensuring smooth integration with existing enterprise systems.
Setting up and managing IoT device identities on a private 5G network demands robust security measures throughout the device lifecycle. Typically, devices are enrolled using cryptographic techniques, such as certificates issued during manufacturing or deployment. These certificates ensure each device has a unique and secure identity.
To onboard devices securely, protocols like remote registration are often employed. These methods streamline the process while maintaining high-security standards.
Once enrolled, managing these devices involves overseeing their entire lifecycle. This includes handling updates, revoking access when necessary, and ensuring continuous authentication. Security can be maintained using approaches like SIM or eSIM models, as well as decentralised identity protocols, which provide additional layers of protection against potential threats.
In 5G networks, enabling user-plane integrity protection is essential when safeguarding the confidentiality and integrity of user data is a priority. This becomes especially important for sensitive applications, such as those involving IoT devices.
The activation of this feature depends on two main factors: the capabilities of the device and the specific security requirements of the network. By ensuring data integrity during transmission, this protection adds an extra layer of security, keeping sensitive information safe from tampering or unauthorised modifications.
To start keeping an eye on threats in a private 5G IoT network, it’s essential to put strong security measures in place. This includes continuous monitoring of both network traffic and device activities. Make sure to integrate your existing security systems, use real-time threat detection tools, and deploy features like mutual authentication, encryption, and network slicing. These steps work together to maintain visibility and enable a fast and effective response to potential threats in your private 5G IoT setup.
