An efficient queries processing model based on Multi Broadcast Searchable Keywords Encryption (MBSKE)

Al-Maytami, Belal Ali; Fan, Pingzhi; Hussain, Abir Jaafar; Baker, Thar; Liatsis, Panos

doi:10.1016/j.adhoc.2019.102028

Cited by 8 publications

(3 citation statements)

References 29 publications

(29 reference statements)

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“…In cryptographic research, 50 Wang et al 51 proposed an efficient proxy re‐encryption scheme, which can reduce the client cost and ensure flexible data sharing between users and their partners. Al‐Maytami et al 52 proposed a new search algorithm called multicast searchable keyword encryption, which can hide all the user's information and the query content of the cloud server through a set of encrypted keywords.…”

Section: The Related Workmentioning

confidence: 99%

A differential privacy‐preserving deep learning caching framework for heterogeneous communication network systems

Wang

Zhang

Xia

et al. 2022

Int J of Intelligent Sys

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Caching and artificial intelligence technology are means to improve the content transmission rate and solve the delay problem in heterogeneous communication networks, which provide an important technical basis for telemedicine diagnosis, disease monitoring, and other medical and healthcare fields. However, since the data used for caching recommendations and mining usually includes a lot of sensitive information, collecting these data will inevitably cause users to worry about personal privacy security. This paper proposes a differential privacy‐preserving deep learning caching framework (DP‐DLCF) for heterogeneous communication networks. First, the multivariate randomized response mechanism is used to perturb the mobile client's sensitive information while introducing the least square method to balance the data privacy and utility, and realize the adaptive allocation of the privacy budget. Then use selective integrated learning methods to further improve the local cache accuracy of the neural network training model. Therefore, the framework not only improves the prediction accuracy of the cache network but also solves the problem of privacy leakage in data sharing. Finally, four simulation examples verify the DP‐DLCF framework's effectiveness.

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Section: The Related Workmentioning

confidence: 99%

A differential privacy‐preserving deep learning caching framework for heterogeneous communication network systems

Wang

Zhang

Xia

et al. 2022

Int J of Intelligent Sys

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“…Therefore, researchers are continuously working on the development of novel security techniques [ 3 , 4 ]. It is evident in previous researches that adopting cryptography is the best solution for cyber-security [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

Performance comparison between Chaos and quantum-chaos based image encryption techniques

Kumari

Gupta

2021

Multimed Tools Appl

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Today’s digital era has undertaken most of the responsibilities of public and private sectors, not only the industries or big organizations dependent on the internet but individual’s household needs also lying on it. To make the data transmission/reception confidential and secure for both internet users and internet service providers, a large number of researches have been done in this field. It has proved that cryptography is the best solution for solving this purpose. Mostly, digital images are continuously transferring on the network rather than texts. Enciphering a digital image is a much bulkier and a complex task. It has been evident from many types of research that chaotic logistic map-based equations provide a great level of randomness. Hence Chaotic logistic maps-based image encryption techniques (also called chaos techniques) were implemented to obtain highly random cipher images. On the other hand, time consumption must be as low as it can be possible to sustain real-time communication. Presently, the advanced encryption schemes based on quantum technology have enhanced efficiency and security because of having a large key-space and less time complexity along with randomness. The quantum-chaos based encryption is done by utilizing uncertainty principles of quantum mechanics on logistic maps. This paper is an effort to compare chaos and quantum chaos-based image encryption schemes. MATLAB 2016a software is used for the execution and the comparison is made based on various security attack analyses. Based on the study and experimental results, the quantum chaos techniques used for bit plane scrambling provides better results in terms of effectiveness, efficiency, and trustworthy that can be adopted for highly secured image encryption.

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“…Authentication and key establishment (AKE) is the mechanism to identify devices' and users' legitimacy in 6LoWPANs [11] and to set up a secret session key (SK) for encrypted communication. Therefore, a lightweight AKE mechanism becomes imperative for securing the network [12][13][14][15][16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

A secure remote user authentication scheme for 6LoWPAN-based Internet of Things

et al. 2021

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One of the significant challenges in the Internet of Things (IoT) is the provisioning of guaranteed security and privacy, considering the fact that IoT devices are resource-limited. Oftentimes, in IoT applications, remote users need to obtain real-time data, with guaranteed security and privacy, from resource-limited network nodes through the public Internet. For this purpose, the users need to establish a secure link with the network nodes. Though the IPv6 over low-power wireless personal area networks (6LoWPAN) adaptation layer standard offers IPv6 compatibility for resource-limited wireless networks, the fundamental 6LoWPAN structure ignores security and privacy characteristics. Thus, there is a pressing need to design a resource-efficient authenticated key exchange (AKE) scheme for ensuring secure communication in 6LoWPAN-based resource-limited networks. This paper proposes a resource-efficient secure remote user authentication scheme for 6LoWPAN-based IoT networks, called SRUA-IoT. SRUA-IoT achieves the authentication of remote users and enables the users and network entities to establish private session keys between themselves for indecipherable communication. To this end, SRUA-IoT uses a secure hash algorithm, exclusive-OR operation, and symmetric encryption primitive. We prove through informal security analysis that SRUA-IoT is secured against a variety of malicious attacks. We also prove the security strength of SRUA-IoT through formal security analysis conducted by employing the random oracle model. Additionally, we prove through Scyther-based validation that SRUA-IoT is resilient against various attacks. Likewise, we demonstrate that SRUA-IoT reduces the computational cost of the nodes and communication overheads of the network.

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An efficient queries processing model based on Multi Broadcast Searchable Keywords Encryption (MBSKE)

Abstract: The version presented here may differ from the published version or from the version of the record. Please see the repository URL above for details on accessing the published version and note that access may require a subscription.

Cited by 8 publications

References 29 publications

A differential privacy‐preserving deep learning caching framework for heterogeneous communication network systems

A differential privacy‐preserving deep learning caching framework for heterogeneous communication network systems

Performance comparison between Chaos and quantum-chaos based image encryption techniques

A secure remote user authentication scheme for 6LoWPAN-based Internet of Things

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