With the cyberattacks increasing at an exponential rate, the networks need to automate. What contributions do 5G networks have to make in mitigating these risks?
FREMONT, CA: Recently, GSMA has estimated that 5G holds the potential to add $2.2 trillion to the world’s economy in the upcoming 15 years. The domains that will be benefitted from 5G include telehealth, autonomous vehicles, smart cities, and logistics. However, each of them will also probably suffer, even loss of life in case their security is compromised.
For addressing the concerns regarding 5G, networks will be end-to-end automated and software-controlled processes will be crucial to the infrastructure of 5G.
A robust architecture forms a crucial foundation for developing secure systems to identify threats and design and deploy impactful security controls. There is a need for a new ecosystem of researchers, vendors, and operators to emerge for driving 5G’s cybersecurity agenda.
Such architecture should be able to provide operators with the agility of delivering the appropriate services clients expect simultaneously denying any opportunity to the malicious actors to cause any disruption. The application programming interfaces (APIs) allowing programmability together with ML and AI, can serve as silver bullets for service providers against cyber attacks.
The following are significant components of a powerful 5G security architecture.
Software-Defined Networking (SDN) Controller Security
Hypervisor and Container Security
Virtualized systems are susceptible to various attacks, including resource starvation and data exfiltration. Hypervisor hardening mechanisms provide security against bugs and misconfigurations, which usually results in vulnerabilities.
Impactful edge detection helps in identifying and containing attacks rapidly away from delicate core networks. Besides, edge computing places security monitoring functions near to users and creates alternate data transmission routes which help in increasing the security level of the process. In this way, edge computing reduces attack detection latency.
Proactive Security Analytics
Implementing ML and AI to traffic at every point in the network empower the operators to identify patterns in data traffic. It is specifically beneficial for detecting zero-day attacks.
The orchestrator does the job of monitoring the functions and infrastructure of the whole network, which helps in containing the attacks. However, it can result in system-wide disruption on compromising. There is the availability of various systems and procedures that can guarantee the integrity of the orchestrator.
It is being anticipated that 5G will become one of the largest technology disrupters of this era. Therefore, it is vital to building the networks upon which 5G will operate securely; otherwise, malicious attacks can easily jeopardize the promise of 5G.
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