Hazardously Misleading Information

Description

Hazardously Misleading Information (HMI) refers to data or content that is false, incomplete, or manipulated in a way that could cause significant harm. In the context of 3GPP standards, HMI is particularly relevant to services that depend on accurate information dissemination, such as earthquake and tsunami warning systems (ETWS), commercial mobile alert system (CMAS), and other public warning mechanisms. HMI can arise from various sources, including malicious attacks, system errors, or unintended misinformation, and it can impact network operations, user safety, and societal trust.

The technical management of HMI involves mechanisms to detect, prevent, and mitigate misleading information within telecommunications networks. This includes validation protocols for message origin and integrity, secure transmission channels, and subscriber authentication. For instance, in public warning systems, HMI prevention ensures that alerts are genuine and unaltered, using cryptographic signatures and trusted authorities. Network functions monitor for anomalies that could indicate HMI, such as unexpected message patterns or unauthorized access attempts.

HMI considerations extend to emerging services like V2X (vehicle-to-everything) communications, where misleading information about road conditions could lead to accidents. 3GPP specifications, such as those listed, define requirements and architectures to address HMI risks, ensuring that networks provide reliable services. By implementing robust HMI mitigation strategies, operators can uphold service quality and protect users from potential hazards caused by deceptive information.

Purpose & Motivation

HMI was introduced to address the risks associated with false or deceptive information in telecommunications services, which became increasingly critical with the expansion of digital communication networks. As networks evolved to support essential services like emergency alerts and safety-critical applications, the potential for harm from misleading information grew. HMI frameworks aim to safeguard against these risks by establishing standards for information accuracy and trustworthiness.

The creation of HMI concepts in 3GPP was motivated by incidents where misinformation could lead to public panic, financial loss, or physical danger. Previous approaches lacked comprehensive measures to validate information integrity across diverse services. HMI provides a structured way to identify and mitigate such threats, enhancing the reliability of network services. It addresses limitations in earlier systems that focused primarily on availability and confidentiality but not sufficiently on information truthfulness.