Cryptanalysis of a chaotic chebyshev polynomials based remote user authentication scheme

Quan, Chunyi; Jung, Jaewook; Lee, Hakjun; Kang, Dong-Woo; Won, Dongho

doi:10.1109/icoin.2018.8343155

Cited by 4 publications

(3 citation statements)

References 13 publications

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“…Hence, this proposed solution uses a scheme that allows early detection of any attack, which aims to verify the legitimacy communication between of the proposed network devices. In this regard, the proposed solution also presents a verification and authorization phase using a signature scheme based on Chebyshev polynomials [29][30][31]. The first verification is between Medical Sensors and Aggregator, and for this, a signature is created by the Medical Sensor.…”

Section: Encryption and Signingmentioning

confidence: 99%

EPPDA: An Efficient and Privacy‐Preserving Data Aggregation Scheme with Authentication and Authorization for IoT‐Based Healthcare Applications

Almalki

Soufiene

2021

Wireless Communications and Mobile Computing

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Nowadays, IoT technology is used in various application domains, including the healthcare, where sensors and IoT enabled medical devices exchange data without human interaction to securely transmit collected sensitive healthcare data towards healthcare professionals to be reviewed and take proper actions if needed. The IoT devices are usually resource-constrained in terms of energy consumption, storage capacity, computational capability, and communication range. In healthcare applications, many miniaturized devices are exploited for healthcare data collection and transmission. Thus, there is a need for secure data aggregation while preserving the data integrity and privacy of the patient. For that, the security, privacy, and aggregation of health data are very important aspects to be considered. This paper proposes a novel secure data aggregation scheme called “An Efficient and Privacy-Preserving Data Aggregation Scheme with authentication for IoT-Based Healthcare applications” (EPPDA). EPPDA is based to verification and authorization phase to verify the legitimacy of the nodes that need to join the process of aggregation. EPPDA, also, uses additive homomorphic encryption to protect data privacy and combines it with homomorphic MAC to check the data integrity. The major advantage of homomorphic encryption is allowing complex mathematical operations to be performed on encrypted data without knowing the contents of the original plain data. The proposed system is developed using MySignals HW V2 platform. Security analysis and experimental results show that our proposed scheme guarantees data privacy, messages authenticity, and integrity, with lightweight communication overhead and computation.

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Section: Encryption and Signingmentioning

confidence: 99%

EPPDA: An Efficient and Privacy‐Preserving Data Aggregation Scheme with Authentication and Authorization for IoT‐Based Healthcare Applications

Almalki

Soufiene

2021

Wireless Communications and Mobile Computing

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“…In the Algorithm 2, we describe the algorithm executed by the Medical Sensor for encryption and Signing the collected data. In this regard, and as an effective solution to the above mentioned issue, we propose an Verification and Authorization phase, and for that we are using a signature scheme based on Chebyshev polynomials [24][25][26]. The first verification is between Medical Sensors and the Aggregator.…”

Section: Setup and Key Generation Phasementioning

confidence: 99%

EPPDA: An Efficient and Privacy-Preserving Data Aggregation Scheme with Authentication and Authorization for IoT-Based Healthcare

Almalki

Soufiene

2021

Preprint

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Internet of Things (IoT) connects various kinds of intelligent objects and devices using the internet to collect and exchange data. Nowadays, The IoT is used in diverse application domains, including the healthcare. In the healthcare domain, the IoT devices can collects patient data, and its forwards the data to the healthcare professionals can view it. The IoT devices are usually resource-constrained in terms of energy consumption, storage capacity, computational capability, and communication range, data aggregation techniques are used to reduce the communication overhead. However, in healthcare system using IoT, the heterogeneity of technologies, the large number of devices and systems, and the different types of users and roles create important challenges in terms of security. For that, the security and privacy aggregation of health data are very important aspects. In this paper, we propose a novel secure data aggregation scheme based on homomorphic primitives in IoT based healthcare systems, called “An Efficient and Privacy-Preserving Data Aggregation Scheme with authentication for IoT-Based Healthcare applications” (EPPDA). EPPDA is based the Verification and Authorization phase to verifying the legitimacy of the nodes wants to join the process of aggregation. EPPDA uses additive homomorphic encryption to protect data privacy and combines it with homomorphic MAC to check the data integrity. The security analysis and experimental results show that our proposed scheme guarantees data privacy, messages authenticity, and integrity, with lightweight communication overhead and computation.

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“…(x)= cos (n * arccos(x)) … (3) where n is integer number, x∈ [1,−1] Def.2 Semi-group features for Chebyshev can achieved as: Trs(x)=Tr(Ts(x)) = Ts(Tr(x)) … (4) Def.3 The Chebyshev polynomial in n degree, present :(x,Tx(x))Figure (3) shows the statistical correlation curves for Chebyshev map[10].Figure (3): The Statistical Correlation Curves for Chebyshev Map[10].…”

mentioning

confidence: 99%

Improved RC6 Algorithm using Two Types of Chaos Maps

Al-Ta'i,

Jumaa

2019

IJEAT

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RC6 (Rivest cipher 6) is keyblock chipher which consider symmetric imitative from RC5. It was intended to encounter the needs competition of the Advanced Encryption Standard (AES) . The aim of this work is to add new security layer to RC6 (Rivest Cipher 6) algorithm, because there is some insufficiency in the Key Scheduling Algorithm (KSA) of RC6. This paper presents improved RC6 (IRC6) key generation based on two types of chaotic maps (Chebyshev,2d logistic) to generate N key to N users. The results prove that the average secrecy of IRC6 is better than of traditional RC6, in which: for 32 bits’ key length, and 256 bits’ plaintext size, the average secrecy of IRC6 is (0.536 - 3.907) while for RC6 is (0.254 constant).

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Cryptanalysis of a chaotic chebyshev polynomials based remote user authentication scheme

Cited by 4 publications

References 13 publications

EPPDA: An Efficient and Privacy‐Preserving Data Aggregation Scheme with Authentication and Authorization for IoT‐Based Healthcare Applications

EPPDA: An Efficient and Privacy‐Preserving Data Aggregation Scheme with Authentication and Authorization for IoT‐Based Healthcare Applications

EPPDA: An Efficient and Privacy-Preserving Data Aggregation Scheme with Authentication and Authorization for IoT-Based Healthcare

Improved RC6 Algorithm using Two Types of Chaos Maps

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