Decentralized identity systems for brain data control

Introduction

Decentralized identity systems for brain data control refer to digital identity frameworks that allow individuals to manage access to their neurological and brain-related information without depending entirely on a central authority. These systems may use blockchain technology, cryptographic authentication, distributed databases, and digital consent mechanisms to protect information generated by neurotechnology devices.

Brain data may include electroencephalography (EEG) signals, neural activity recordings, brain-computer interface (BCI) outputs, cognitive measurements, and neurological health information. Such information can potentially reveal sensitive details about an individual's health, behaviour, and cognitive functioning.

Decentralized identity systems aim to give individuals greater control over who can access their brain data, how it is used, and whether permission can be withdrawn. They are particularly relevant to neurological research, medical devices, artificial intelligence, and brain-computer interface technologies.

Meaning and functioning of decentralized identity systems

A decentralized identity system allows individuals to manage their digital identity through cryptographic credentials rather than relying exclusively on a central identity provider.

In brain data management, such a system may involve three important components:

Decentralized identifiers (DIDs): Unique digital identifiers that help individuals establish their identity without depending on a single central database.

Verifiable credentials: Digitally signed records that establish specific facts, such as research consent or authorisation to access medical information.

Distributed ledger technology: A system that can record consent transactions and access-related events in a tamper-evident manner.

For example, a patient participating in a neurological research project may grant a university temporary permission to access selected EEG records. The identity system can record the permission, its duration, and the authorised purpose.

However, blockchain should generally store references, verification records, or consent information rather than identifiable raw brain signals. This reduces privacy risks and avoids difficulties associated with permanently recording sensitive information.

Legal framework in India

1. Digital Personal Data Protection Act, 2023

The DPDP Act provides a framework for processing digital personal data in India. Brain recordings may constitute personal data when they relate to an identifiable individual.

Section 4 establishes the lawful-purpose framework for processing personal data. Section 6 addresses consent, including requirements concerning free, specific, informed, unconditional, and unambiguous consent. Section 8 establishes obligations of Data Fiduciaries concerning processing and security safeguards.

A decentralized identity system may support consent management, access control, and accountability. However, using blockchain does not automatically establish compliance with the Act.

The Act's applicable commencement notifications and rules must also be considered when determining operational obligations.

2. Information Technology Act, 2000

The Information Technology Act provides legal recognition to electronic records and electronic signatures.

Sections 3 and 3A address authentication of electronic records through digital signatures and electronic signatures. Section 43 provides remedies for specified unauthorised computer-related activities.

These provisions may become relevant when digital identity credentials and electronic authorisations are used to manage access to neurological information.

3. Constitution of India

Article 21 protects life and personal liberty, including the right to privacy recognised by the Supreme Court. Article 14 also requires public authorities to act fairly and reasonably.

These constitutional protections are important because brain data may reveal highly sensitive personal information that individuals should be able to control against unlawful collection or disclosure.

International legal framework

1. General Data Protection Regulation (GDPR)

The GDPR provides enhanced protection for personal information. Article 9 identifies genetic and biometric data used for uniquely identifying a person, as well as health data, as special categories of personal data.

Neural recordings may qualify as health data or other protected personal data depending on their nature and use.

Article 25 requires data protection by design and by default, while Article 32 requires appropriate technical and organisational security measures.

2. UNESCO Recommendation on the Ethics of Neurotechnology (2025)

UNESCO's Recommendation on the Ethics of Neurotechnology provides international ethical guidance concerning human rights, privacy, mental integrity, autonomy, and responsible neurotechnology development.

It highlights the importance of protecting individuals against misuse of neural information and ensuring meaningful control over neurotechnology applications.

Importance of decentralized identity for brain data control

Decentralized identity systems can provide several legal and technological benefits:

Individual control: Individuals can manage permissions granted to researchers and healthcare providers.

Consent verification: Digital credentials can record the scope and duration of research permissions.

Privacy protection: Cryptographic techniques can reduce unnecessary disclosure of identifying information.

Access monitoring: Records can identify authorised access and help detect unauthorised activity.

Research accountability: Institutions can demonstrate whether data access followed approved research conditions.

Cross-institutional cooperation: Different research institutions can verify permissions without maintaining one central identity database.

Nevertheless, decentralized systems do not guarantee anonymity or prevent every form of data misuse. Technical safeguards and legal accountability remain necessary.

Relevant case laws

There are limited reported judicial decisions directly concerning decentralized identity systems or ownership of brain data. However, the following cases establish important principles.

1. Justice K.S. Puttaswamy v. Union of India (2017)

The Supreme Court recognised privacy as a fundamental right under Article 21. The judgment established informational privacy as an important constitutional protection. It is relevant to controlling access to neural recordings and other sensitive neurological information.

2. K.S. Puttaswamy v. Union of India (Aadhaar case) (2018)

The Supreme Court examined the Aadhaar identification framework and addressed proportionality, data security, and restrictions on information use. Its principles are relevant when designing decentralized identity systems that process sensitive personal information.

3. District Registrar and Collector, Hyderabad v. Canara Bank (2005)

The Supreme Court recognised the importance of privacy and confidentiality in personal records. The decision supports safeguards against unjustified access to sensitive information maintained by institutions.

4. Shreya Singhal v. Union of India (2015)

The Supreme Court struck down Section 66A of the Information Technology Act. The judgment demonstrates that digital technology regulation must respect constitutional rights, including freedom of expression. It provides broader guidance for developing legally balanced digital identity frameworks.

These judgments establish relevant privacy and constitutional principles but do not directly decide the legal status of decentralized identity or brain-data ownership.

Legal challenges and regulatory safeguards

Decentralized identity systems create several legal challenges:

Consent withdrawal: Permanent blockchain records may complicate the practical implementation of withdrawal requests.

Data ownership: The rights of patients, researchers, hospitals, and technology providers may overlap.

Cybersecurity: Compromised private keys may permit unauthorised access to digital credentials.

Cross-border transfers: International research collaborations may involve different privacy laws.

Identity verification: Incorrect identity credentials may result in unauthorised access to sensitive neurological records.

Legal accountability: Distributed systems may make it difficult to identify the organisation responsible for a particular processing activity.

Organisations should use off-chain storage for sensitive brain data, encryption, revocable access credentials, independent security audits, and clear data-sharing agreements.

Conclusion

Decentralized identity systems can strengthen individual control over brain data by providing secure authentication, verifiable consent, and transparent access management. India's constitutional privacy principles, the DPDP Act, 2023, and the Information Technology Act, 2000 provide relevant legal foundations. International frameworks such as the GDPR and UNESCO's neurotechnology ethics recommendations further support responsible protection of neurological information. However, decentralized technology must be supported by clear consent procedures, effective security safeguards, and identifiable legal accountability to ensure that brain data remains protected against unauthorised use and disclosure.