LICID: a lightweight image cryptosystem for IoT devices

Omrani, Tasnime; Rhouma, Rhouma; Becheikh, Rabei

doi:10.1080/01611194.2018.1563009

Cited by 8 publications

(12 citation statements)

References 13 publications

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“…In [14], another gray-scale image encryption scheme uses zigzag scanning for obfuscation, one-dimensional chaotic logic mapping for diffusion, and a 128-bit key. In [15], outer-inner structure is proposed to enhance the confusion and diffusion in the outer phase. However, this scheme resists the linear and differential cryptanalysis in the inner phase.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Our value, (existing works) Number of rounds 1, (31 [2], 22 [3], 25 [4], 32 [5], 36 [6], 10/12 [7], 32 [29], 2 [13], 14 [15], 2 [16]) Key size (bits) 300, (80/128 [2], 64/72/96/128/192/256 [3], 80/120 [4], 64/72/96/128/144/192/256 [5], 80/128 [6], 80/128 [7], 128 [13], 112 [15], 128/192/256/512 [16], 80 [29]) Block size (bits) 128/256, (64 [2], 32/48/64/128 [3], 64 [4], 32/48/64/92/128 [5], 64 [6], 64 [7], 32/64/128/256 [13], 64 [15], 256 [16], 64 [29],) Input type…”

Section: Metricsmentioning

confidence: 99%

“…Color image, (Text [2-7,29], color image [13], grayscale image [15,16]) Structure SPN, (SPN [2], FN1 [3], SPN [4], FN1 [5], Variant GFS [6], FN [7], SPN-CBC [13], outer-inner structure [15], SPN [16],…”

Section: Metricsmentioning

confidence: 99%

“…In this research work, we are employing empirical assessments. [2], 408.36 [3], 403.44 [4], 428.04 [5], 408.12 [7], 443.7 [15], 415.75 [25]) Energy (mJ) 779.42, (734.252 [2], 49.003 [3], 76.65 [4], 61.21 [5], 118.35 [7], 390.45 [15], 83.15 [25]) Time (s) 0.92, (1.72 [2], 0.12 [3], 0.19 [4], 0.143 [5], 0.29 [7], 0.88 [15], 0.2 [25]) No. of rounds 1, (31 [2], 22 [3], 25 [4], 32 [5], 10/12 [7], 14 [15], 12 [25]) Power (mW) 847.2, (427.05 [2], 408.36 [3], 403.44 [4], 428.04 [5], 408.12 [7], 443.7 [15], 415.75 [25])…”

Section: Performance Analysismentioning

confidence: 99%

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Chaos-Based Cryptographic Mechanism for Smart Healthcare IoT Systems

Ghazal¹,

Abbas²,

Munir³

et al. 2022

Computers, Materials &Amp; Continua

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Smart and interconnected devices can generate meaningful patient data and exchange it automatically without any human intervention in order to realize the Internet of Things (IoT) in healthcare (HIoT). Due to more and more online security and data hijacking attacks, the confidentiality, integrity and availability of data are considered serious issues in HIoT applications. In this regard, lightweight block ciphers (LBCs) are promising in resourceconstrained environment where security is the primary consideration. The prevalent challenge while designing an LBC for the HIoT environment is how to ascertain platform performance, cost, and security. Most of the existing LBCs primarily focus on text data or grayscale images. The main focus of this paper is about securing color images in a cost-effective way. We emphasis high confidentiality of color images captured by cameras in resource-constrained smartphones, and high confidentiality of sensitive images transmitted by low-power sensors in IoT systems. In order to reduce computational complexity and simulation time, the proposed Lightweight Symmetric Block Cipher (LSBC) exploits chaos-based confusion-diffusion operations at the inter-block level using a single round. The strength of LSBC is assessed by cryptanalysis, while it is ranked by comparing it to other privacy-preserving schemes. Our results show that the proposed cipher produces promising results in terms of key sensitivity and differential attacks, which proves that our LSBC is a good candidate for image security in HIoT.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Metricsmentioning

confidence: 99%

Section: Metricsmentioning

confidence: 99%

Section: Performance Analysismentioning

confidence: 99%

See 2 more Smart Citations

Chaos-Based Cryptographic Mechanism for Smart Healthcare IoT Systems

Ghazal¹,

Abbas²,

Munir³

et al. 2022

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

show abstract

“…30 A suitable security mechanism and an encryption algorithm are required to function efficiently within the limitations of the IoT devices, 31 thus requires a lightweight cryptosystem and a intrusion detection and analysis system that have been designed in accordance with the capabilities of the resource-constrained devices. [32][33][34] • Memory restrictions: Buffer overflow is a common form of attack that attempts to overrun the buffer boundaries 35 while processing buffers where data is stored. The attack is a result of the lack of proper inspection of buffers that store data.…”

Section: Security Challenges In Iot Environmentmentioning

confidence: 99%

A comprehensive survey on secure software‐defined network for the Internet of Things

Mohamed

Alofe

Azad

et al. 2021

Trans Emerging Tel Tech

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The Internet of Things (IoT) is the network of smart devices, sensors, and machines that continuously monitored the surrounding environment and execute meaningful decisions on the data or information it receives. The Internet-enabled devices could facilitate computer-mediated strategies for various tasks, for example, smart health care, managing the cities or smart factories, smart manufacturing, automating the home and business, etc. IoT commonly uses Internet technology for establishing communication among devices, thus inherits all the security threats that are currently affecting Internet users along with other security threats that are specific to IoTs due to resources constrained nature of the smart devices and sensors. The greater footprint, the distributed nature of the network and the existence of a huge number of IoT devices has also attracted criminals, fraudsters, and attackers to utilize this medium for spreading malicious content or making devices unavailable for legitimate use.It is imperative to ensure that the Confidentiality, Integrity, Security, and Privacy of information and users should remain intact while using these devices and thus they require an effective security system. Software-defined Networks (SDN) and Network Function are the way to control and configure devices from a centralized location and have been proven to offer scalability and versatility to their deployed ecosystems. In this paper, we systematically review the adoption of SDN and Network Function Virtualization (NFV) for securing the IoT network from emerging threats. To this extent, we provide a comprehensive survey on security solutions based on SDN, Blockchain, NFV, and SDN/NFV proposed for the security of the IoT network. We have also identified open challenges in this domain which includes lack of standardization, low cost, and effective machine learning systems for identifying malicious traffic and handling great attack surface and different attack vectors. The deployed technologies exhibit positive strides in their usage for the provision of security in IoT environments offering security enhancements, scalability, and versatility.

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Breakthroughs and Challenges in Multimedia Privacy and Security in the Internet of Things (IoT)

Nisa,

Baba

2023

Intelligent Multimedia Signal Processing for Smart Ecosystems

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LICID: a lightweight image cryptosystem for IoT devices

Cited by 8 publications

References 13 publications

Chaos-Based Cryptographic Mechanism for Smart Healthcare IoT Systems

Chaos-Based Cryptographic Mechanism for Smart Healthcare IoT Systems

A comprehensive survey on secure software‐defined network for the Internet of Things

Breakthroughs and Challenges in Multimedia Privacy and Security in the Internet of Things (IoT)

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