Comparative Performance Analysis of Lightweight Cryptography Algorithms for IoT Sensor Nodes

Fotovvat, Amir; Rahman, Gazi M. E.; Vedaei, Seyed Shahim; Wahid, Khan A.

doi:10.1109/jiot.2020.3044526

Cited by 41 publications

(17 citation statements)

References 19 publications

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“…The users are available with a lot of encryption methods. The encryption methods can be classified as AES like structures that are obtained from optimizing strong AES cipher, Bit Permutation-Based Techniques, Cellular Automata-Based Techniques, or others [11][12][13][14][15][16][17][18][19][20][21].…”

Section: Related Studymentioning

confidence: 99%

“…LWC includes many mechanisms like PRESENT, CLEFIA, SIMON, SPECK, SKINNY, ZORRO, HIGHT, XTEA, encoder-based, cellular-automata-based, bit-permutation-based, etc. [11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29]. In past years, the community of lightweight cryptography has developed many mechanisms suitable for IoT and other similar environments.…”

Section: Introductionmentioning

confidence: 99%

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Mod-k-Chained Variant of PRESENT and CLEFIA Lightweight Block Cipher for an Improved Security in Internet of Things

Jangra

Singh

2021

SN COMPUT. SCI.

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Section: Related Studymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Mod-k-Chained Variant of PRESENT and CLEFIA Lightweight Block Cipher for an Improved Security in Internet of Things

Jangra

Singh

2021

SN COMPUT. SCI.

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“…The IoT is the new tech of our age, with billions of electronic gadgets sharing massive amounts of protected data. The private image collected by industrial IoT has evolved and is linked to the user's IoT nodes or peripheral devices [3]. Multimedia has developed rapidly with the introduction of internet technologies, allowing people to share data in images, video, audio, biometric images, medical imaging, military, diplomatic, national security agencies, and their equivalents in the IoT [4,5].…”

Section: Introductionmentioning

confidence: 99%

Image Cryptosystem for IoT Devices Using 2-D Zaslavsky Chaotic Map

2022

IJIES

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Recently, the proliferation of the Internet of Things (IoT) services and applications has prompted several governments to deploy many cameras in critical sites, such as embassies, military institutions, and ministries. The images must be encrypted to protect data shared between IoT sensors/devices and embedded subsystems. Often, IoT devices are smaller and less powerful. A lot of traditional encryption methods are computationally inefficient. They require many rounds of coding, which takes up much space on a device. Despite this, this paper has developed a lightweight encryption algorithm based on chaos theory suitable for IoT devices with limited processing power. The confusion-diffusion structure is often divided into two independent components in chaotic image cryptosystems. However, it reduces the security of the cryptosystem since the independent design may be subjected to cryptanalysis individually. This paper presents an efficient chaotic image encryption algorithm based on a plaintext-associated approach. It incorporates confusion-diffusion operation to increase encryption reliability. The Zaslavsky map initial values are determined by the values and locations of an input image and random values to resist chosen-plaintext cryptanalysis. Furthermore, the proposed method uses a simultaneous confusion-diffusion process to resist any separate attack. The simulation and experimental analysis demonstrate that the proposed encryption algorithm has 0.3927 seconds as a fast encryption time. Moreover, it provides a high performance compared to several other chaotic-based image cryptosystems. as measured by the histogram, entropy (7.99723), pixel change rate (99.7194), unified average changing intensity (33.4635) within the critical interval, pixel correlation, global and local entropy, CDR (ciphertext difference rate), and gray difference degree (GDD). It also has higher security than other chaoticbased image cryptosystems.

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“…-MOZIPO and ACKEN [11] published a comparative survey of lightweight cryptographic algorithms, their strengths, weaknesses, and general security requirements, such as integrity, confidentiality, and authentication. [12] compared the 32 LWC second-round candidates for features such as performance and power. [13] focuses on surveying certain lightweight block ciphers that can easily be implemented in resource challenge devices; such ciphers include PRESENT, SIMON, and GRAIN.…”

mentioning

confidence: 99%

Residual vulnerabilities to power side channel attacks of lightweight ciphers cryptography competition finalists

Mozipo

Acken

2023

IET Computers & Digital Tech

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The protection of communications between Internet of Things (IoT) devices is of great concern because the information exchanged contains vital sensitive data. Malicious agents seek to exploit those data to extract secret information about the owners or the system. Power side channel attacks are of great concern on these devices because their power consumption unintentionally leaks information correlatable to the device's secret data. Several studies have demonstrated the effectiveness of authenticated encryption with advanced data, in protecting communications with these devices. A comprehensive evaluation of the seven (out of 10) algorithm finalists of the National Institute of Standards and Technology (NIST) IoT lightweight cipher competition that do not integrate built‐in countermeasures is proposed. The study shows that, nonetheless, they still present some residual vulnerabilities to power side channel attacks (SCA). For five ciphers, an attack methodology as well as the leakage function needed to perform correlation power analysis (CPA) is proposed. The authors assert that Ascon, Sparkle, and PHOTON‐Beetle security vulnerability can generally be assessed with the security assumptions “Chosen ciphertext attack and leakage in encryption only, with nonce‐misuse resilience adversary (CCAmL1)” and “Chosen ciphertext attack and leakage in encryption only with nonce‐respecting adversary (CCAL1)”, respectively. However, the security vulnerability of GIFT‐COFB, Grain, Romulus, and TinyJambu can be evaluated more straightforwardly with publicly available leakage models and solvers. They can also be assessed simply by increasing the number of traces collected to launch the attack.

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Comparative Performance Analysis of Lightweight Cryptography Algorithms for IoT Sensor Nodes

Cited by 41 publications

References 19 publications

Mod-k-Chained Variant of PRESENT and CLEFIA Lightweight Block Cipher for an Improved Security in Internet of Things

Mod-k-Chained Variant of PRESENT and CLEFIA Lightweight Block Cipher for an Improved Security in Internet of Things

Image Cryptosystem for IoT Devices Using 2-D Zaslavsky Chaotic Map

Residual vulnerabilities to power side channel attacks of lightweight ciphers cryptography competition finalists

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