Differential Distribution Table implementation DDT survey

Al-Shammary, Mohammed Eid Khamees; AlDabbagh, Sufyan Salim Mahmood

doi:10.47577/technium.v4i10.7700

Cited by 2 publications

(4 citation statements)

References 26 publications

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“…According to these ndings, any DDTbased attack could exploit the probabilities found in DDT to attack DES, AES, and Camellia. The study conrmed the theoretical results found in [31], [78], and [76], since the experimental results were the same as the theoretical results. Refer to Table Table 9 and Figure 20.…”

Section: Resultssupporting

confidence: 84%

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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Section: Resultssupporting

confidence: 84%

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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“…It is noted in the encryption and decryption process that the required time increases with the increase in the size of the encrypted text file. The increase is almost linear according to Table (4), which indicates the efficiency of speed of the proposed cipher with smaller sizes.…”

Section: A-randomness Of the Keymentioning

confidence: 73%

“…The times spent in the encryption process were recorded according to the sizes of the encrypted files. Table (4) show the results. It is noted in the encryption and decryption process that the required time increases with the increase in the size of the encrypted text file.…”

Section: A-randomness Of the Keymentioning

confidence: 99%

“…Among these algorithms, block ciphers play a major role in many network applications. Several block cipher algorithms have been introduced to increase their performance level and strengthen their capabilities against attack [ 4 ]. Data encryption is a security solution, which converts normal data into encrypted data in the encryption stage, while the reverse process is called decryption, which converts encrypted data into normal data, and encryption algorithms usually aim to recover the original data after the decryption stage without losing any part in The recovered data, and the robustness of the algorithms against different types of attacks is very essential, to secure the data sent over any communication medium [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

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Proposed Method for Efficient Block Cipher Cryptography

Alregabo

Ismail

2023

Eximia

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After the use of the Internet and the transmission of files between users expanded, information security became one of the important priorities for securing information by different means and methods. The information encryption comes at the forefront of the techniques used in information security. Encryption has been known since ancient ages. So, traditional methods appeared that quickly and greatly developed. They are still used in many scientific studies and developmental research with the aim of developing new methods for encryption of substitutions and increasing its ability to confront various attacks. The traditional methods were subjected to several attacks that they prompted researchers to develop them and overcome their weaknesses in front of those attacks. Some combinations of these methods are used to design new encryption methods based on overlapping ideas of traditional encryption. This paper sought to use a set of traditional encryption methods in designing a new system. In which, these methods are mixed with modern ideas that help increase the strength of encryption and its ability to face potential attacks. Caesar, Vigenère, Rail Fence, and transpose ciphers, with the idea of cipher cycles and segments and division into two parts in block ciphers. The proposed system relied on the chaotic function Tent map for its random properties in generating a string of keys consisting of 112 random characters in length using Python 3.11 programming language. The text was cut into Blocks of 108 characters. Each Block was divided into two parts. A part of the key was added to each section. A rial fence method was applied. Then Vigenère method with the key is applied. The proposed system processed the original text within the framework of the encryption cycles with the use of substitution in the order of the columns, shifting to the right, and the replacement of the sequence of the elements of each side according to the order of the elements of the other side. After the end of the encrypting cycles, the cipher block is added to the final ciphertext. The operations were repeated for the next block until the last block is finished. For the purpose of decrypting, the previous operations are repeated in reverse order to obtain the original text, by decrypting blocks of the cipher text. The proposed system achieved extreme accuracy in extracting the original text. The system was evaluated by measuring the time and throughput of the encryption and decryption. The encryption and decryption times were short for short texts, which increased with the increase in the length of the text, with a relatively stable encryption and decryption throughput. The system achieved acceptable memory consumption in short texts but increased by the length of the text size. The achieved Avalanche test was less than (50%).

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Differential Distribution Table implementation DDT survey

Cited by 2 publications

References 26 publications

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

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

Proposed Method for Efficient Block Cipher Cryptography

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