Implementation of a video streaming security system for smart device

Jeon, Yong-Sung; Kim, Youngsae; Kim, Jeong-Nyeo

doi:10.1109/icce.2014.6775925

Cited by 4 publications

(4 citation statements)

References 6 publications

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“…Data confidentiality is usually addressed by symmetric-key encryption. Since the amount of data is high in the case of images and image sequences, some approaches resort to encrypt compressed data or to the use of partial or selective encryption of specific regions or objects of interest [4], [14]- [15]. In any case, encryption algorithms should be selected carefully to provide real-time performance with lowcost IoT cameras, which have constrained computing and memory resources.…”

Section: Image Integrity and Confidentialitymentioning

confidence: 99%

Using Physical Unclonable Functions for Internet-of-Thing Security Cameras

Arjona

Prada-Delgado

Arcenegui

et al. 2018

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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This paper proposes a low-cost solution to develop IoT security cameras. Integrity and confidentiality of the image data is achieved by using the cryptographic modules that implement symmetric key-based techniques which are usually available in the hardware of the IoT cameras. The novelty of this proposal is that the secret key required is not stored but reconstructed from public data and from the start-up values of a SRAM in the camera hardware acting as a PUF (Physical Unclonable Function), so that the physical authenticity of the camera is also ensured. The variability of the start-up values of the SRAM is also exploited to change the IV (Initialization Vector) in the encryption algorithm, thus increasing security. All the steps to be carried out by the IoT camera at enrollment and normal operation can be included in a simple firmware to be executed by the camera. In addition, this firmware can be trustworthy updated. There is no need to include specific hardware (such as Trusted Platform Modules, TPMs) but only a SRAM is needed which could be powered down and up by firmware.

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Section: Image Integrity and Confidentialitymentioning

confidence: 99%

Using Physical Unclonable Functions for Internet-of-Thing Security Cameras

Arjona

Prada-Delgado

Arcenegui

et al. 2018

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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“…where the general mathematical expression of the main diagonal elements is given by with i = 1, 2, · · · , n. It is noted that, since the nonzero elements A (11) i, i , A (12) i, j , A (21) j, i , A (22) j, j in (5) are ergodic in all positions on the matrix [19], for all possible arrangement orders of the multiplication of n(n − 1)/2 transformation sub-matrices T ij with i = 1, 2, · · · , n − 1; j = i + 1, · · · , n, the resulting matrices A n are different. Thus, Criterion (iii) is satisfied.…”

Section: A Construction Of An N-dimensional Discrete-time Chaotic Mamentioning

confidence: 99%

“…I N the field of information security [1][2][3][4][5], both traditional algebra-based and chaos-based image and video encryption technologies have attracted considerable attention recently [6][7][8]. It is well known that the distinct properties of chaos, such as positive Lyapunov exponent, ergodicity, quasi-randomness, sensitive dependence on initial conditions and system parameters, etc., have granted chaotic dynamics to be a promising alternative of some cryptographic algorithms especially when fast-speed is of a main concern such as in video processing [9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

“…Considering these factors, the real-time performance of video processing for the ARM-embedded approach is usually limited to a certain level, where only about 5 video frames per second can be transmitted. It needs to be significantly improved by selecting high-speed working platform, such as the advanced ARM+FPGA+DSP platforms [5], where both advantages of parallel-serial mode and digital signal processing can be fully utilized for improving the performances of real-time video data processing and transmission.…”

Section: Introductionmentioning

confidence: 99%

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Design and ARM-Embedded Implementation of a Chaotic Map-Based Real-Time Secure Video Communication System

Lin

Lü

et al. 2015

IEEE Trans. Circuits Syst. Video Technol.

102

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A systematic methodology is proposed for a chaotic map-based real-time video encryption and decryption system with Advanced RISC Machine (ARM)-embedded hardware implementation. According to the anti-control principle of dynamical systems, first, an 8-dimensional discrete-time chaotic map-based system is constructed, which possesses the required property of 1-1 surjection in the integer range [0, N − 1], where N denotes the number of frame pixels, suitable for position scrambling of each video frame. Then, an 8-D discrete-time hyper-chaotic system is designed for encryption-decryption of RGB tricolor pixel values. Based on the ARM-embedded platform super4412 model with Cortex-A9 processor, together with the standard QT cross-platform, an integrated chaotic map-based real-time secure video communication system is designed, implemented and evaluated. In addition, the security performance of the designed system is tested by using criteria from the NIST statistical test suite. The main feature of this method is that, both scrambling-antiscrambling of RGB tricolor pixel positions and encryption-decryption of pixel values are realized at the same time for enhancing the security. As is well known, compared with numerical simulations, hardware implementation for such a secure video communication system is very difficult to achieve, but it was successfully implemented and tested in a real world network environment by us. Both theoretical analysis and experimental results validate the feasibility and real-time performance of the new secure video communication system. Index Terms-Chaotic map, real-time secure video communication, ARM-embedded implementation Z. Lin, S. Yu, and S. Cai are with the College

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