QR code security using proxy re-encryption

N.Akhil,; Vijay, Athira; Kumar, Deepa S.

doi:10.1109/iccpct.2016.7530286

Cited by 7 publications

(5 citation statements)

References 8 publications

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“…Akhil et al [18] employed the technique of PRE to enhance the security of QR codes in 2016. A QR code is a machine-readable format that could be tampered with maliciously when being transmitted.…”

Section: Related Workmentioning

confidence: 99%

An Improved ID-Based Data Storage Scheme for Fog-Enabled IoT Environments

Lin

Tsai

Ting

et al. 2022

Sensors

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In a fog-enabled IoT environment, a fog node is regarded as the proxy between end users and cloud servers to reduce the latency of data transmission, so as to fulfill the requirement of more real-time applications. A data storage scheme utilizing fog computing architecture allows a user to share cloud data with other users via the assistance of fog nodes. In particular, a fog node obtaining a re-encryption key of the data owner is able to convert a cloud ciphertext into the one which is decryptable by another designated user. In such a scheme, a proxy should not learn any information about the plaintext during the transmission and re-encryption processes. In 2020, an ID-based data storage scheme utilizing anonymous key generation in fog computing was proposed by some researchers. Although their protocol is provably secure in a proof model of random oracles, we will point out that there are some security flaws inherited in their protocol. On the basis of their work, we further present an improved variant, which not only eliminates their security weaknesses, but also preserves the functionalities of anonymous key generation and user revocation mechanism. Additionally, under the Decisional Bilinear Diffie–Hellman (DBDH) assumption, we demonstrate that our enhanced construction is also provably secure in the security notion of IND-PrID-CPA.

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Section: Related Workmentioning

confidence: 99%

An Improved ID-Based Data Storage Scheme for Fog-Enabled IoT Environments

Lin

Tsai

Ting

et al. 2022

Sensors

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“…In 2016, Akhil et al [ 22 ] applied the PRE scheme to QR code security and thus can provide efficient and secure data transmission between the sender and the receiver. In 2018, Zeng and Choo [ 23 ] introduced a conditional PRE scheme which could be utilized in secure cloud storage.…”

Section: Research Backgroundsmentioning

confidence: 99%

An Improved Proxy Re-Encryption Scheme for IoT-Based Data Outsourcing Services in Clouds

Lin

Hung

2020

Sensors

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IoT-based data outsourcing services in clouds could be regarded as a new trend in recent years, as they could reduce the hardware and software cost for enterprises and obtain higher flexibility. To securely transfer an encrypted message in the cloud, a so-called proxy re-encryption scheme is a better alternative. In such schemes, a ciphertext designated for a data aggregation is able to be re-encrypted as one designated for another by a semi-trusted proxy without decryption. In this paper, we introduce a secure proxy re-encryption protocol for IoT-based data outsourcing services in clouds. The proposed scheme is provably secure assuming the hardness of the bilinear inverse Diffie–Hellman problem (BIDHP). In particular, our scheme is bidirectional and supports the functionality of multi-hop, which allows an uploaded ciphertext to be transformed into a different one multiple times. The ciphertext length of our method is independent of the number of involved IoT nodes. Specifically, the re-encryption process only takes one exponentiation computation which is around 54 ms when sharing the data with 100 IoT devices. For each IoT node, the decryption process only requires two exponentiation computations. When compared with a related protocol presented by Kim and Lee, the proposed one also exhibits lower computational costs.

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“…Numerous studies on QR Codes have been previously conducted, including research to improve the visual performance of QR by using the halftone method and the Berlekamp Reed-Solomon systematic error correction algorithm [12]. Many studies have attempted to increase the security of this QR code system by combining various techniques, such as adding a QR code layer [13], using proxy re-encryption [14], cryptography [15], [16], [17], watermarking [18], blockchain [19], and steganography [20]. A new type of QR code called two-level QR code (2LQR) has been introduced [21].…”

Section: Introductionmentioning

confidence: 99%

Implementation of QR Code Attendance Security System Using RSA and Hash Algorithms

Arif Indra Irawan,

Iman Hedi Santoso,

Istikmal

et al. 2024

Jurnal Nasional Teknik Elektro dan Teknologi Informasi

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The quick response (QR) code-based attendance application contributes to reducing paper usage and attendance input errors. However, in its implementation process, the QR-code-based attendance at a Bandung school demonstrates weaknesses. Absent students can fake their attendance for themselves or friends. This type of attack is known as fake QR code generation. This research proposes a security authentication system using the Rivest–Shamir–Adleman (RSA) encryption algorithm and the secure hash algorithm 1 (SHA-1) to secure QR code-based attendance applications from fake QR code generation attacks. The RSA algorithm encrypts QR code data to maintain privacy, while the SHA-1 algorithm ensures data integrity. Based on this method, the mutual authentication process between the QR code data generated by the student and the attendance reading application by the teacher can be established. The results obtained from a series of tests showed that the security system in the student attendance recording application that had been implemented at Madrasah Aliyah (MA) Al-Mukhlishin could detect and prevent fake QR code generation attacks. The test was conducted by changing the impact of the key length on RSA-1024 bits and RSA-2048 bits. The results showed that in RSA-1024 bits, energy consumption of 0.14 J and time of 1.66 s is more efficient than that in RSA-2048 bits, with energy consumption of 0.19 J and time of 2.09 s. Interestingly, if a higher level of security is required, the key length should be increased at the expense of some energy and time efficiency.

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QR code security using proxy re-encryption

Cited by 7 publications

References 8 publications

An Improved ID-Based Data Storage Scheme for Fog-Enabled IoT Environments

An Improved ID-Based Data Storage Scheme for Fog-Enabled IoT Environments

An Improved Proxy Re-Encryption Scheme for IoT-Based Data Outsourcing Services in Clouds

Implementation of QR Code Attendance Security System Using RSA and Hash Algorithms

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