Abstract The next generation of Internet of Things (IoT) networks and mobile communications (5G IoT networks) has the particularity of being heterogeneous, therefore, it has very strong ability to compute, store, etc. Group-oriented applications demonstrate its potential ability in 5G IoT networks. One of the main challenges for secure group-oriented applications (SGA) in 5G IoT networks is how to secure communication and computation among these heterogeneous devices. Conventional protocols are not suitable for SGA in 5G IoT networks since multiparty joint computation in this environment requires lightweight communication and computation overhead. Furthermore, the primary task of SGA is to securely transmit various types of jointly computing data. Hence, membership authentication and secure multiparty joint arithmetic computation become two fundamental security services in SGA for 5G IoT networks. The membership authentication allows communication entities to authenticate their communication partners and the multiparty joint computations allow a secret output to be shared among all communication entities. The multiparty joint computation result can be used to protect exchange information in the communication or be used as a result that all users jointly compute by using their secret inputs. A novel construction of computation/communications-efficient membership authenticated joint arithmetic computation is proposed in this paper for 5G IoT networks, which not only integrates the function of membership authentication and joint arithmetic computation but also realizes both computation and communication efficiency on each group member side. Our protocol is secure against inside attackers and outside attackers, and also meets all the described security goals. Meanwhile, in this construction the privacy of tokens can be well protected so tokens can be reused multiple times. This proposal is noninteractive and can be easily extended to joint arithmetic computation with any number of inputs. Hence, our design has more attraction for lightweight membership authenticated joint arithmetic computation in 5G IoT networks.
Abstract The next generation of Internet of Things (IoT) networks and mobile communications (5G IoT networks) has the particularity of being heterogeneous, therefore, it has very strong ability to compute, store, etc. Group-oriented applications demonstrate its potential ability in 5G IoT networks. One of the main challenges for secure group-oriented applications (SGA) in 5G IoT networks is how to secure communication and computation among these heterogeneous devices. Conventional protocols are not suitable for SGA in 5G IoT networks since multiparty joint computation in this environment requires lightweight communication and computation overhead. Furthermore, the primary task of SGA is to securely transmit various types of jointly computing data. Hence, membership authentication and secure multiparty joint arithmetic computation become two fundamental security services in SGA for 5G IoT networks. The membership authentication allows communication entities to authenticate their communication partners and the multiparty joint computations allow a secret output to be shared among all communication entities. The multiparty joint computation result can be used to protect exchange information in the communication or be used as a result that all users jointly compute by using their secret inputs. A novel construction of computation/communications-efficient membership authenticated joint arithmetic computation is proposed in this paper for 5G IoT networks, which not only integrates the function of membership authentication and joint arithmetic computation but also realizes both computation and communication efficiency on each group member side. Our protocol is secure against inside attackers and outside attackers, and also meets all the described security goals. Meanwhile, in this construction the privacy of tokens can be well protected so tokens can be reused multiple times. This proposal is noninteractive and can be easily extended to joint arithmetic computation with any number of inputs. Hence, our design has more attraction for lightweight membership authenticated joint arithmetic computation in 5G IoT networks.
The Fifth Generation (5G) networks deploy base station ultra-densification to boost data rates, capacities, reliability, energy efficiency as well as the reduction of communication latencies. To increase quality of service as well as quality of experience, a large number of Internet of Things (IoT) communications are relayed over 5G networks. For enhanced pervasive computing, most of the devices in 5G-IoT networks are continuously connected to the network, exchanging massive and sensitive data. Therefore, there is need to protect these networks from both privacy and security attacks. As a result, many security protocols have been presented in literature. Unfortunately, IoT devices are heterogeneous in nature with diverse communication and security architectures. These issues render privacy and security protection extremely challenging. Consequently, majority of the conventional protocols fail to fully address privacy and security issues in 5G-IoT networks. Particularly, user collusion, de-synchronization and side-channeling attacks are ignored in most of the security protocols. On the other hand, some of the developed protocols achieve salient security but at extremely high computation, storage and communication complexities. In this paper, an elliptic curve and biometric based security token derivation scheme is presented. Formal security analysis using Burrows–Abadi–Needham (BAN) logic shows the negotiation of a session key between the communicating parties. On the other hand, informal security analysis shows that this scheme is secure under all the Canetti- Krawczyk (CK) threat model assumptions. In terms of efficiency, the comparative performance evaluation carried out shows that this protocol has the least communication and computation complexities among other related protocols.
Abstract As mobile internet and Internet of Things technologies continue to advance, the application scenarios of peer-to-peer Internet of Drones (IoD) are becoming increasingly diverse. However, the development of IoD also faces significant challenges, such as security, privacy protection, and limited computing power, which require technological innovation to overcome. For group secure communication, it is necessary to provide two basic services, user authentication and group key agreement. Due to the limited storage of IoD devices, group key negotiation requires lightweight calculations, and conventional schemes cannot satisfy the requirements of group communication in the IoD. To this end, a new lightweight communication scheme based on ring neighbors is presented in this paper for IoD, which not only realizes the identity verification of user and group key negotiation, but also improves computational efficiency on each group member side. A detailed security analysis substantiates that the designed scheme is capable of withstanding attacks from both internal and external adversaries while satisfying all defined security requirements. More importantly, in our proposal, the computational cost on the user side remains unaffected by the variability of the number of members participating in group communication, as members communicate in a non-interactive manner through broadcasting. As a result, the protocol proposed in this article demonstrates lower computational and communication costs in comparison to other cryptographic schemes. Hence, this proposal presents a more appealing approach to lightweight group key agreement protocol with user authentication for application in the IoD.
When using an insecure communication channel, the initial step involves authenticating the user (verifying the other party) to ensure the legitimacy of the communication partner, followed by encrypted communication. With the advancement of quantum computers, many conventional cryptographic techniques are at risk of being deciphered. While postquantum cryptographic approaches are under development, they often demand substantial computational resources, making them difficult to implement in resourceconstrained environments such as the Internet of Things (IoT). This study proposes a user authentication and secure communication system that guarantees information-theoretic security by leveraging secure computation based on a computationally lightweight (k, n)-threshold secret sharing scheme. The proposed authentication approach utilizes constantly changing information to prevent replay attacks and enhance security. It is further demonstrated that secure communication with information-theoretic guarantees can be achieved without the need to distribute a large volume of true random numbers, relying instead on secret sharing-based secure computation. The proposed methods are particularly suitable for IoT applications due to their minimal processing overhead and efficient performance.
Internet of Things (IoT) is one of the most representative application scenarios in the 5G and 6G era. The concurrent access of massive IoT devices definitely poses enormous communication, computation, and certificate management challenges to the wireless authentication. Moreover, the emergence of quantum computing makes classical cryptography-based authentication protocols, such as 5G-AKA, more easier to be broken. Facing the challenges posed by the massive concurrent authentication and quantum attacks, this paper proposes a lattice cryptography based group authentication scheme, where lattice-based aggregate signature algorithm and identity-based encryption (IBE) are leveraged to achieve simultaneous authentication of concurrent accessed devices. The proposed authentication scheme eliminates the process of public key certificate management, greatly reducing the storage overhead of core network. Moreover, the utilization of lattice cryptography enables the resistance of quantum attacks. The proposed solution does not rely on additional security assumptions such as security channel or trusted group center, making it more flexible to be deployed in actual network scenario. Finally, formal security analysis of the proposed protocol is provided with the tool ProVerif. It is demonstrated that the proposed protocol can satisfy the goals of identity privacy, authentication, data confidentiality and forward secrecy. In addition, compared with existing advanced solutions, the outperformance of the proposed scheme in terms of computation overhead, signaling overhead, communication overhead, and security properties is validated with simulations.
The Narrow Band Internet of Things (NB-IoT) paradigm has become a central point of the 5G networks. Though the NB-IoT mechanism has progressively been incorporated in the conventional LTE networks, notably the 5G network-based NB-IoT scheme realizes certain security breaches in recent times. Hence, the need for effective authentication and data transmission scheme is much more vital for security enhancement. Conventional security schemes follow both symmetric and asymmetric cryptographic techniques such as AES, ECC, DES and many other famous algorithms to assist in preventing against data security issues. All of these cryptographic techniques are inadequate to give protect against quantum attacks. This study plan to propose a secure quantum-resistant data transmission strategy and authentication for a 5G based NB-IoT scheme. The proposed method follows the implementation of data transmission strategy and access authentication concurrently for NB-IoT devices based on lattice-based attribute and fully homomorphic encryption techniques. The proposed scheme will not just minimize the network overhead but also provide robust security with privacy shielding and anti-quantum capability.
The rapid proliferation of Internet of Things (IoT) devices has revolutionized digital communication, yet it simultaneously poses unprecedented security challenges due to constrained device capabilities and increasing cyber threats. Conventional cryptographic techniques, while currently effective, are vulnerable to emerging quantum computing technologies that threaten to render classical encryption obsolete. This paper explores the integration of quantum-safe cryptographic techniques within IoT networks to ensure long-term confidentiality, integrity, and authentication. It examines post-quantum cryptographic primitives, including lattice-based, hash-based, multivariate, and code-based schemes, and evaluates their suitability for resource-constrained IoT environments. The study focuses on lightweight implementation strategies, balancing computational efficiency with robust security requirements. Simulation analyses demonstrate that properly optimized quantum safe protocols can provide resilient encryption, key exchange, and digital signature functionalities without overwhelming device resources. Furthermore, the integration of these techniques with IoT communication standards and secure network protocols ensures end-to-end protection across heterogeneous networks. Challenges such as latency, energy consumption, and scalability are addressed, highlighting the necessity of tailored cryptographic solutions for diverse IoT applications. The findings confirm that quantum safe cryptography is essential for future-proofing IoT networks, offering sustainable security measures that remain resilient against both classical and quantum adversaries, thereby supporting the continued expansion of secure and intelligent interconnected systems.