<p>The Internet of Things (IoT), as an emerging paradigm, enables the interconnection and information exchange of numerous intelligent devices via public networks. However, sensitive data within IoT environments is vulnerable to attacks from malicious adversaries, due to the lack of robust security protection in some devices and communication channels. An effective approach is to transmit encrypted data within the communication system. Identity-based encryption (IBE) enables data owners to encrypt messages using the identities of data consumers as public keys, thereby ensuring data privacy. Unfortunately, conventional IBE schemes are considered inadequate against quantum algorithmic threats, i.e., non-quantum-safe. More critically, traditional IBE schemes lack the ability to simultaneously conceal the identities of both data owners and data consumers, exposing the identities of data owners and data consumers to adversaries. With this motivation, we propose an identity-based matchmaking encryption scheme from ideal lattices (IBMEIL) for IoT environments, which allows both the data owner and the data consumer to mutually authenticate their identities. The plaintext is revealed only when the identity verification of both parties matches; otherwise, both the communicating parties’ identities and the plaintext remain concealed. The IBMEIL scheme is proven secure under the ring learning with errors and ring inhomogeneous small integer solution assumptions. Theoretical analysis and simulation evaluations indicate that the proposed scheme achieves favorable performance and serves as a promising candidate for IoT environments.</p>