Match Me if You Can: Matchmaking Encryption and Its Applications

Ateniese, Giuseppe; Francati, Danilo; Núñez, David; Venturi, Daniele

doi:10.1007/s00145-021-09381-4

Cited by 29 publications

(50 citation statements)

References 67 publications

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“…Although above mentioned IBE schemes solve some issues in terms of public safety sharing requirements, they can not provide bilateral access control services for users with some particular needs. Ateniese et al [7] tackled this problem by constructing a matchmaking IBE (MIBE) scheme. MIBE scheme gives stronger privacy protection because it enables the sender to specify the identity of the receiver and ensures the receiver verifies the identity of the sender.…”

Section: Related Workmentioning

confidence: 99%

“…In the present section, we will make a comparison to evaluate our proposed LMIBE scheme and partial existing IBE schemes based on lattices [25], [36], [37] with respect to communication and computation costs in theory. In addition, we also compare our scheme and other related schemes [7], [25], [36], [37] in respect of features of post-quantum and access control for the sender. We reveal the communication cost in Table 1 and the computation cost in Table 2 for our LMIBE scheme.…”

Section: Theoretical Evaluationmentioning

confidence: 99%

“…In addition, the computation costs are less than those of [25], [36], [37] for RKGen, Enc and Dec, and thus are more efficient than other schemes in Table 2. As shown in Table 3, we also note that although the scheme [7] has access control for the sender, it cannot resist quantum attack. The schemes [25], [36], [37] have the function of post-quantum, but without restriction for the identity of the sender.…”

Section: Theoretical Evaluationmentioning

confidence: 99%

“…To solve this problem, a matchmaking IBE (MIBE) scheme is constructed in CRYPTO'19 [7] to realize the access control of the sender and the receiver. The MIBE scheme allows the sender to specify the identity of the receiver for data confidentiality, the receiver could decide whether the data are from the intended sender.…”

Section: Introductionmentioning

confidence: 99%

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LMIBE: Lattice-Based Matchmaking Identity-Based Encryption for Internet of Things

et al. 2023

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Under the usage of new technologies, Internet of Things (IoT) develops rapidly and provides a great convenience for our lives. It is critical for ensuring security to IoT systems as the tremendous growth of IoT applications. Although many cryptography tools (such as identity-based encryption) have been given to provide appropriate security in IoT covering various application fields such as smart home, how to guarantee data confidentiality, provide reasonable data source identification, and resist quantum attacks simultaneously has been a challenging problem. To address this problem, we propose a matchmaking encryption scheme named lattice-based matchmaking identity-based encryption (LMIBE) which can provide bilateral access control for both sender and receiver in IoT systems, and resist quantum attacks. Moreover, we give a formal definition and a security definition for our scheme. Security proof shows that our scheme is secure under the proposed security definition. Finally, by comparing the performance of our scheme with existing works, our proposed scheme has a broad application prospect in IoT environment.

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Section: Related Workmentioning

confidence: 99%

Section: Theoretical Evaluationmentioning

confidence: 99%

Section: Theoretical Evaluationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

LMIBE: Lattice-Based Matchmaking Identity-Based Encryption for Internet of Things

et al. 2023

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“…However, their scheme can only resist the known-plaintext attack, which is vulnerable to practical applications. To improve security, some task allocation schemes are proposed based on traditional cryptographic primitives, e.g., Yao's garble circuit [33], bilinear map [34], and Paillier cryptosystem [35]. For example, Yang et al [26] utilized the bilinear map to design a privacy-preserving task allocation scheme.…”

Section: Introductionmentioning

confidence: 99%

Towards Efficient and Privacy-Preserving Versatile Task Allocation for Internet of Vehicles

Zhao

Chen

Zhang

et al. 2022

IEEE Open J. Comput. Soc.

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Nowadays, task allocation has attracted increasing attention in the Internet of Vehicles. To efficiently allocate tasks to suitable workers, users usually need to publish their task interests to the service provider, which brings a serious threat to users' privacy. Existing task allocation schemes either cannot comprehensively preserve user privacy (i.e., requester privacy and worker privacy) or introduce tremendous resource overhead. In this paper, we propose an efficient and privacy-preserving versatile task allocation scheme (PPVTA) for the Internet of vehicles. Specifically, we utilize the randomizable matrix multiplication technique to preserve requester privacy and worker privacy. Then, the polynomial fitting technique is leveraged to enrich the randomizable matrix multiplication to support versatile task allocation functions, such as threshold-based task allocation (PPVTA-I), conjunctive task allocation (PPVTA-II), and task allocation with bilateral access control (PPVTA-III). We formally analyze the security of our constructions to prove the security under the chosen-plain attack. Based on a prototype, experimental results demonstrate that our constructions have acceptable efficiency in practice.

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Multilayer privacy‐preserving model for security and privacy access control in edge computing

Karthikeyan

Madhavan

2023

Concurrency and Computation

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In a recent scenario of a computing environment, the Internet of Things (IoT) provides a greater impact in several applications and services. For that Edge Computing techniques are effectively incorporated, in which the sensitive data are stored on servers.As a result, edge computing allows for data storage and operation at the network's edge to emerge as optimistic advancement. Regardless, the distinctive characteristics of edge computing including real-time computing, content perception and parallel processing have introduced a number of innovative challenges in the domain of privacy preservation and data security. Edge computing provides an extension of the cloud for designing and deploying new security resolutions in the area of IoT. In this paper, a Trusted Platform Module with Ciphertext-policy attribute-based encryption technique is introduced to provide a solution to a multilayer privacy-preserving model for efficient data storage. The developed model is adaptable and has a reliable data access control mechanism. Further, the results of the experiments demonstrate that the suggested technique operates better and give 83% results in terms of storage cost, load testing, effective runtime execution, higher security, credibility, and efficiency. K E Y W O R D Scipher text, edge computing, internet of things, multi kernel support vector machine, multilayer access control mechanism INTRODUCTIONThe spread of 5G network architecture and Internet of Things (IoT) is hastening the appearance of unique service standards and critical domains such as smart cities, intelligent transportation, location services, Augmented Reality and so on. 1 Numerous IoT sensing devices develop enormous amounts of data from the physical world such as smartphones, smart home appliances, wearable devices and so on. The edge computing prototypes are further dedicated and effective when compared to cloud computing terminal. 2 This technique includes both data clients and data producer. The benefits of edge things for an edge client include computational offload, acquiring data, storage and processing, nominal cost, minimal communication and minimal response period. The distribution of sending and receiving assistance from edge things effects in a more increased intensity of resource consumption, imposing lesser electricity costs. While the edge computing model contains multiple advantages over the conventional cloud platform, privacy issues are arising as an impediment to the implementation of the edge computing framework. 3 In order to maintain data privacy, susceptible data from owners must be encrypted prior to being sent to edge servers. In this case, users must figure out how to explore keywords in ciphertexts among encrypted files. The secure data search issues in a broadcasted and multidomain co-occurrence edge computing framework can be described to construct a protected keyword search method in a distributed repository service standard and the expansion towards the edge computing domain is required. 4 It is very essential to have f...

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Match Me if You Can: Matchmaking Encryption and Its Applications

Cited by 29 publications

References 67 publications

LMIBE: Lattice-Based Matchmaking Identity-Based Encryption for Internet of Things

LMIBE: Lattice-Based Matchmaking Identity-Based Encryption for Internet of Things

Towards Efficient and Privacy-Preserving Versatile Task Allocation for Internet of Vehicles

Multilayer privacy‐preserving model for security and privacy access control in edge computing

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