An Efficient Identity-Based Cryptographic Model for Chebyhev Chaotic Map and Integer Factoring Based Cryptosystem

Tahat, Nedal; Alomari, A. K.; Alfreedi, Ajab A.; Al-Hazaimeh, Obaida M.; Al–Jamal, Mohammad F.

doi:10.1080/19361610.2019.1621513

Cited by 10 publications

(13 citation statements)

References 19 publications

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“…Ying and Nayak's [4] and Ul Haq et al's [5] schemes take more computational cost than Yan et al's [30] and ours because Ying and Nayak's [4] and Ul Haq et al's [5] schemes perform more not only one-way hash function operations but elliptic curve point multiplications. The results have proven that performing an elliptic curve point multiplication takes more time than a Chebyshev chaotic maps operation, and, compared to RSA and ECC, Chebyshev polynomials can offer smaller key size and faster computation [42,43,[72][73][74]. However, Yan et al's scheme [30] performs only two elliptic curve point multiplications in total while our scheme performs six Chebyshev chaotic maps operations.…”

Section: Computational Complexity Comparisonmentioning

confidence: 95%

“…Several signature schemes based on chaotic maps have been proposed recently. For example, Tahat and Hijazi [42] proposed an enhanced signature scheme to improve Chain and Kuo's [41]; Tahat et al proposed an ID-based cryptographic model for Chebyshev chaotic maps to demonstrate the transformation model of ID-based schemes [43]; Tahat et al proposed an ID-based blind signature based on chaotic maps [44]. Meshram et al focused on online/offline short signature schemes and proposed schemes using chaotic maps [45], such as ID-based short signature scheme and subtree-based short signature scheme for wireless sensor network [46].…”

Section: Chaotic Maps-based Signaturementioning

confidence: 99%

“…To accomplish the Goal 1, we have Equations ( 42) and (43). Equations ( 42) and ( 43) must hold because of Rule 5 and A5.…”

Section: A5 a |≡ ( S Ijmentioning

confidence: 99%

“…Next, we have Equations ( 44) and ( 45) that must hold because of A3 and Rule 8 to accomplish Equation (43).…”

Section: A5 a |≡ ( S Ijmentioning

confidence: 99%

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FAIDM for Medical Privacy Protection in 5G Telemedicine Systems

Lin

Hsu

2021

Applied Sciences

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5G networks have an efficient effect in energy consumption and provide a quality experience to many communication devices. Device-to-device communication is one of the key technologies of 5G networks. Internet of Things (IoT) applying 5G infrastructure changes the application scenario in many fields especially real-time communication between machines, data, and people. The 5G network has expanded rapidly around the world including in healthcare. Telemedicine provides long-distance medical communication and services. Patient can get help with ambulatory care or other medical services in remote areas. 5G and IoT will become important parts of next generation smart medical healthcare. Telemedicine is a technology of electronic message and telecommunication related to healthcare, which is implemented in public networks. Privacy issue of transmitted information in telemedicine is important because the information is sensitive and private. In this paper, 5G-based federated anonymous identity management for medical privacy protection is proposed, and it can provide a secure way to protect medical privacy. There are some properties below. (i) The proposed scheme provides federated identity management which can manage identity of devices in a hierarchical structure efficiently. (ii) Identity authentication will be achieved by mutual authentication. (iii) The proposed scheme provides session key to secure transmitted data which is related to privacy of patients. (iv) The proposed scheme provides anonymous identities for devices in order to reduce the possibility of leaking transmitted medical data and real information of device and its owner. (v) If one of devices transmit abnormal data, proposed scheme provides traceability for servers of medical institute. (vi) Proposed scheme provides signature for non-repudiation.

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Section: Computational Complexity Comparisonmentioning

confidence: 95%

Section: Chaotic Maps-based Signaturementioning

confidence: 99%

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FAIDM for Medical Privacy Protection in 5G Telemedicine Systems

Lin

Hsu

2021

Applied Sciences

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“…key generation stages. We examine the stages by comparing the computational expenses of our current IBE transformation model to the works of [62][63][64][65].…”

Section: Ccamentioning

confidence: 99%

A Provably Secure IBE Transformation Model for PKC Using Conformable Chebyshev Chaotic Maps under Human-Centered IoT Environments

Meshram¹,

Imoize

Aljaedi

et al. 2021

Sensors

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The place of public key cryptography (PKC) in guaranteeing the security of wireless networks under human-centered IoT environments cannot be overemphasized. PKC uses the idea of paired keys that are mathematically dependent but independent in practice. In PKC, each communicating party needs the public key and the authorized digital certificate of the other party to achieve encryption and decryption. In this circumstance, a directory is required to store the public keys of the participating parties. However, the design of such a directory can be cost-prohibitive and time-consuming. Recently, identity-based encryption (IBE) schemes have been introduced to address the vast limitations of PKC schemes. In a typical IBE system, a third-party server can distribute the public credentials to all parties involved in the system. Thus, the private key can be harvested from the arbitrary public key. As a result, the sender could use the public key of the receiver to encrypt the message, and the receiver could use the extracted private key to decrypt the message. In order to improve systems security, new IBE schemes are solely desired. However, the complexity and cost of designing an entirely new IBE technique remain. In order to address this problem, this paper presents a provably secure IBE transformation model for PKC using conformable Chebyshev chaotic maps under the human-centered IoT environment. In particular, we offer a robust and secure IBE transformation model and provide extensive performance analysis and security proofs of the model. Finally, we demonstrate the superiority of the proposed IBE transformation model over the existing IBE schemes. Overall, results indicate that the proposed scheme posed excellent security capabilities compared to the preliminary IBE-based schemes.

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