High Throughput Novel Architecture of SIT Cipher for IoT Application

Mishra, Zeesha; Mishra, Shubham; Acharya, Bibhudendra

doi:10.1007/978-981-15-7486-3_26

Cited by 10 publications

(6 citation statements)

References 18 publications

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“…Compared to the existing architectures, the utilization of LUTs and slices is reduced by 66.05% and 68.40% with respect to [22], 84.01% and 91.95% with respect to [13], 43.29% and 14.84% with respect to [33] and 47.56% with respect to [25]. The proposed TinyJAMBU-128 architecture has maximum frequency, F max of 128.15 MHz, which is better than [33] and [25].…”

Section: Hardware Implementation Resultsmentioning

confidence: 92%

“…The proposed TinyJAMBU-128 architecture has maximum frequency, F max of 128.15 MHz, which is better than [33] and [25]. Compared to the existing architectures implemented on the Virtex-7 FPGA device, the power usage of the proposed work is reduced by 87.41% with respect to [25] and 90.27% with respect to [22].…”

Section: Hardware Implementation Resultsmentioning

confidence: 93%

“…An implementation of the proposed architecture has been performed on the Virtex-7 FPGA device, illustrating better utilization of LUT, slices and power consumption than existing architectures. The LUTs and slices are reduced by 66.05% and 68.40% with respect to [22], 84.01% and 91.95% with respect to [13], 43.29% and 14.84% with respect to [33] and 47.56% with respect to [25]. The power consumption is reduced by 87.41% with respect to [25] and 90.27% with respect to [22].…”

Section: Discussionmentioning

confidence: 99%

“…The LUTs and slices are reduced by 66.05% and 68.40% with respect to [22], 84.01% and 91.95% with respect to [13], 43.29% and 14.84% with respect to [33] and 47.56% with respect to [25]. The power consumption is reduced by 87.41% with respect to [25] and 90.27% with respect to [22]. The findings of this study highlight the potential of TinyJAMBU for edge-nodebased secure image encryption applications.…”

Section: Discussionmentioning

confidence: 99%

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Modeling, hardware architecture, and performance analyses of an AEAD-based lightweight cipher

Jhawar,

Gandhi,

Shekhawat

et al. 2024

J Real-Time Image Proc

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Ensuring data security and integrity is crucial for achieving the highest level of protection and performance in modern cyber-physical systems (CPS). Authenticated encryption with associated data (AEAD) is an efficient and secure way to encrypt data that ensures confidentiality and authenticity. In this study, we focus on image encryption using the TinyJAMBU cipher within the AEAD scheme. In this paper, image encryption using the TinyJAMBU cipher with software and hardware modeling has been proposed, and image encryption evaluation over standard matrices has been performed. The hardware architecture for TinyJAMBU has been implemented on the Xilinx Virtex-7 FPGA device. The implementation results are compared with the realization of other contemporary ciphers that bring TinyJAMBU-128's implementation better in terms of look-up tables (LUTs), slice utilization, and power consumption. In the experimentation phase, the results of TinyJAMBU-128/192/256 for image encryption have been compared with existing image encryption techniques. It has been observed that, compared to other implementations, the proposed image encryption application using TinyJAMBU provides better results for PSNR, MSE, RMSE, and UACI.

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Section: Hardware Implementation Resultsmentioning

confidence: 92%

Section: Hardware Implementation Resultsmentioning

confidence: 93%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Modeling, hardware architecture, and performance analyses of an AEAD-based lightweight cipher

Jhawar,

Gandhi,

Shekhawat

et al. 2024

J Real-Time Image Proc

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“…According to Wang et al [50] and Liu et al [70], the impossible dierentials attack attacked the 12 rounds of Camellia with the chosen plaintext of 2 120 and 2 181 . Even if intruders attack Camellia, Amishra and Acharya [71] recommended that Camellia be used in cryptographic images (CIs).…”

Section: Related Workmentioning

confidence: 99%

An Application of the Khumbelo Function on the Camellia Algorithm to Prevent Attacks in IoT Devices

Muthavhine,

Sumbwanyambe

2023

IEEE Access

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Camellia is an encryption algorithm implemented in many Internet of Things (IoT) devices. However, intruders attack the Camellia cipher using Substitution Box (S-Box) distinguishers. The distinguishers are tables that provide probabilities for guessing the secret keys of the algorithms. Distinguishers are used in the majority of attacks. The most wellknown distinguishers are Linear Approximation Table (LAT), Dierence-Distribution Table (DDT), and Dierential-Linear Connectivity Table (DLCT). This research focuses on preventing these attacks using a novel function called the Khumbelo function to distract the construction of S-Box distinguishers. The Khumbelo function distracted the distinguishers' constructions by reducing the probability of building the table. The Khumbelo function successfully decreased the attack probability of LAT (from 54.6875 percent to 0 percent), DDT (from 1.5625 percent to 0 percent), and DLCT (from 50.0000 percent to 0 percent). The Khumbelo function is generated using a 4-Byte output S-Box instead of the original 1-Byte output S-Box in Camellia. INDEX TERMS Camellia, Cryptographic Attacks, Internet of Things (IoT), IoT devices, K_Camellia, S-Box, The Khumbelo Function. I. INTRODUCTION T HE Internet of Things (IoT) is a modern critical system that connects devices, things, individuals, objects, digital machines, computers, and objects for the transmission of information [1]. IoT is emerging as an eective technique with devices in signicant elds to create unique networks [1] [2]. IoT customers use these networks depending on the task needed at that time, [3]. Companies use IoT devices and networks to exchange top secret and condential information, [4]. Some of this information is sent unencrypted or encrypted by algorithms that are vulnerable to attacks [4].Cryptographic algorithms are primarily used to ensure security and privacy [4]. One of the cryptographic algorithms used on IoT devices is Camellia. This study shows that dierent types of IoT devices use Camellia. Some S-Box-based cryptographic algorithms are compromised on IoT devices, including Camellia and Advanced Encryption Standard (AES). An S-Box, for example, could resist or allow attacks. Assume an S-Box with less than 32 output bits, such as in Camellia and AES, which have eight output bits [5]. In that case, intruders could easily construct dierent distinguishers to get the probability of guessing the encryption key. Camellia and AES share some similarities in that all S-Boxes in these two algorithms are built using similar transformations that take the multiplicative inverse over a nite eld, and they are all 8 x 8 in size [5]. Therefore, if an intruder could attack one S-Box, all S-Boxes would be vulnerable. According to the ndings of this study, these S-Boxes are vulnerable to various attacks. Cryptographic algorithms are unavoidable, but they must be designed in advance to withstand attacks [4].The existing studies show that intruders attack the Camellia algorithm with various attack methods. For instance:i. Camellia is vu...

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