A Privacy Preserving Communication Protocol for IoT Applications in Smart Homes

Song, Tianyi; Li, Ruinian; Mei, Bo; Yu, Jiguo; Xing, Xiaoshuang; Cheng, Xiuzhen

doi:10.1109/iiki.2016.3

Cited by 43 publications

(27 citation statements)

References 21 publications

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“…The problem of sharing an encrypted file across different devices was studied. According to previous researches (Chai et al, 2017;Li et al, 2017;Song et al, 2017;Niyat et al, 2017;ÜnalÇavuşoglu et al, 2017;Belazi et al, 2017) and to the best of our knowledge, few concerns were raised about the reliability of the chaotic system simulation. In our study, we have analyzed how chaosbased encryption is applied for information exchange, and developed a method to raise the chance of success of the decryption phase.…”

Section: Resultsmentioning

confidence: 93%

“…One way to encode files is to use a single pseudo-random sequence obtained from a chaotic map and there has been extensive research regarding more efficient methods. For example, Liu and Miao (2018) proposes a one-dimensional chaotic map encoding scheme that is more attack-tolerant and Hua et al (2015) uses a combination of sine and logistic maps to tackle the same problem and recently there have been many works regarding new cryptography schemes (Silva et al, 2017;Chai et al, 2017;Li et al, 2017;Song et al, 2017;Niyat et al, 2017;ÜnalÇavuşoglu et al, 2017;Belazi et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

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On the reliability of computational chaos-based cryptography for information exchange

Santos

Magalhães

Fiorio

et al. 2019

Anais Do 14º Simpósio Brasileiro De Automação Inteligente

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This paper investigates the use of dynamical chaotic systems to encrypt and exchange images between different devices. Two devices were used to simulate the Cubic Map, having the same set of initial conditions, to generate an encryption key. Although both devices are floatingpoint compliant, the simulations, and consequently the encryption key, turned out to differ from one another. This indicates that many existing chaos-based encryption schemes are just special cases of computational arithmetic properties, in which some characteristics in the construction of the devices coincided. A method to mitigate such flaw was also presented. Resumo: Este trabalho investiga o uso de sistemas caóticos dinâmicos para criptografar e trocar imagens entre diferentes dispositivos. Dois dispositivos foram usados para simular o mapa cúbico, com o mesmo conjunto de condições iniciais e gerar uma chave de criptografia. Embora ambos os dispositivos sejam compatíveis com a norma de ponto flutuante, as simulações e, consequentemente, a chave de criptografia, mostraram-se diferentes umas das outras. Isso indica que muitos esquemas existentes de criptografia baseados em caos são apenas casos especiais de propriedades aritméticas computacionais, nas quais algumas características na construção dos dispositivos coincidem. Um método para mitigar essa falha também foi apresentado.

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Section: Resultsmentioning

confidence: 93%

Section: Introductionmentioning

confidence: 99%

On the reliability of computational chaos-based cryptography for information exchange

Santos

Magalhães

Fiorio

et al. 2019

Anais Do 14º Simpósio Brasileiro De Automação Inteligente

View full text Add to dashboard Cite

show abstract

“…Shi et al [50] introduced an ultra-lightweight white-box encryption scheme, which requires a relatively small amount of static data, for securing resource-constrained IoT devices. Song et al [19] presented a D2S secure communication protocol for SHS environment based on symmetric key scheme, in which the key is updated using a one-way hash function to maintain the freshness. In the next year, they improved their method using chaotic system in [1].…”

Section: Secure Communicationmentioning

confidence: 99%

“…These approaches are either vulnerable to the device capture attack or only feasible to small networks due to the high complexity of these distributed algorithms. Some other symmetric key-based works for IoT environment like [1], [19] can just be applied in simple IoT environment such as smart homes where only authorized entities have access to it. In contrast, most types of IoT systems such as ICVs work in outdoor environment can be easily approached by attackers.…”

Section: Introductionmentioning

confidence: 99%

A Lightweight Privacy-Preserving Communication Protocol for Heterogeneous IoT Environment

Luo

Yin

et al. 2020

IEEE Access

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While Internet-of-Things (IoT) significantly facilitates the convenience of people's daily life, the lack of security practice raises the risk of privacy-sensitive user data leakage. Securing data transmission among IoT devices is therefore a critical capability of IoT environments such as Intelligent Connected Vehicles, Smart Home, Intelligent City and so forth. However, cryptographic communication scheme is challenged by the limited resource of low-cost IoT devices, even negligible extra CPU usage of batterypowered sensors would result in dramatical decrease of the battery life. In this paper, to minimize the resource consumption, we propose a communication protocol involving only the symmetric key-based scheme, which provides ultra-lightweight yet effective encryptions to protect the data transmissions. Symmetric keys generated in this protocol are delegated based on a chaotic system, i.e., Logistic Map, to resist against the key reset and device capture attacks. We semantically model such protocol and analyze the security properties. Moreover, the resource consumption is also evaluated to guarantee runtime efficacy.

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“…ey used a flexible privacy personalization framework to support location anonymity for a wide range of mobile clients with context-sensitive privacy requirements. Tianyi Song et al found that smart home inevitably causes security and privacy problems [12]. ey propose an improved stability and privacy protection communication protocol for smart home systems.…”

Section: Iot Security Issuesmentioning

confidence: 99%

An Analysis of Economic Impact on IoT Industry under GDPR

Seo

Kim

Park

et al. 2018

Mobile Information Systems

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e EU GDPR comes into effect on May 25, 2018. Under this regulation, stronger legislation than the existing directive can be enforced. e IoT industry, especially among various industries, is expected to be heavily influenced by GDPR since it uses diverse and vast amounts of personal information. is paper first analyzes how the IoT industry handles personal information and summarizes why it is affected by GDPR. e paper then uses the cost definition of Gordon and Loeb model to estimate how GDPR affects the cost of IoT firms qualitatively and uses the statistical and legal bases to estimate quantitatively. From a qualitative point of view, GDPR impacted the preventative cost and legal cost of the Gordon and Loeb model. Quantitative view showed that the cost of IoT firms after GDPR could increase by three to four times on average and by 18 times if the most. e study finally can be applied to situational awareness of the economic impact on the certain industry.

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A Privacy Preserving Communication Protocol for IoT Applications in Smart Homes

Cited by 43 publications

References 21 publications

On the reliability of computational chaos-based cryptography for information exchange

On the reliability of computational chaos-based cryptography for information exchange

A Lightweight Privacy-Preserving Communication Protocol for Heterogeneous IoT Environment

An Analysis of Economic Impact on IoT Industry under GDPR

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