Trusted forensics scheme based on digital watermark algorithm in intelligent VANET

Ma, Zhiliang; Jiang, Ming; Huang, Wei‐Hua

doi:10.1007/s00521-019-04246-1

Cited by 8 publications

(6 citation statements)

References 14 publications

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“…First, the kernel function and global discriminant function of distributed data mining are calculated, and the decision model of distributed data mining is established. Experimental results show that the algorithm has high precision and strong convergence [ 7 ]. These studies provide some new ideas for this experiment.…”

Section: Introductionmentioning

confidence: 99%

Machine Vision and Intelligent Algorithm Based on Neural Network

Sun

2022

Computational Intelligence and Neuroscience

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Neural network algorithms and intelligent algorithms are hot topics in the field of deep learning. In this study, the neural network algorithm and intelligence are optimized, and it is used in simulation experiments to improve the target image recognition ability of the algorithm in the machine vision environment. First, this paper introduces the application of neural networks in the field of machine vision. Second, in the experiment, the improved VGG-16 convolutional neural network (CNN) model is applied to metal block defect detection. Experimental results show that the optimized network can classify metal block defects with the maximum accuracy of 99.28%. Then, the intelligent algorithm based on neural network is studied, and the CIFAR-10 data set is taken as the experimental target for training test and verification test. Using BP algorithm, particle swarm optimization algorithm (PSO-BP), and improved neural network algorithm, respectively, the convergence speed of ICS algorithm based on BP neural network is compared. In contrast, ICS-BP algorithm has the fastest convergence speed and converges when the number of iterations is 32, followed by PSO-BP algorithm.

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Section: Introductionmentioning

confidence: 99%

Machine Vision and Intelligent Algorithm Based on Neural Network

Sun

2022

Computational Intelligence and Neuroscience

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“…In [46], Z. Ma et al propose a digital watermark algorithm for VANETs, embedding location, timestamp, and forensic device data into a real-time vehicle accident photograph. Digital watermarking is a technique used to hide a data label in digital carriers such as images and multimedia to verify integrity and authentication.…”

Section: B Categorization Of Papersmentioning

confidence: 99%

“…VANETs can be used to communicate traffic warning messages to surrounding vehicles, and photographs can add valuable information in addition to text messages. However, there are several challenges, such as ensuring trustworthiness and the privacy aspect of the communication, still the main goals in [46] are to ensure integrity, detect tampering and at the same time enhance user privacy in digital photographs. Additionally, an approach based on neural networks for vehicle license plate recognition and information gathering is proposed.…”

Section: B Categorization Of Papersmentioning

confidence: 99%

A Systematic Literature Review on Automotive Digital Forensics: Challenges, Technical Solutions and Data Collection

Strandberg

Nowdehi

Olovsson

2023

IEEE Trans. Intell. Veh.

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A modern vehicle has a complex internal architecture and is wirelessly connected to the Internet, other vehicles, and the infrastructure. The risk of cyber attacks and other criminal incidents along with recent road accidents caused by autonomous vehicles calls for more research on automotive digital forensics. Failures in automated driving functions can be caused by hardware and software failures and cyber security issues. Thus, it is imperative to be able to determine and investigate the cause of these failures, something which requires trustable data. However, automotive digital forensics is a relatively new field for the automotive where most existing self-monitoring and diagnostic systems in vehicles only monitor safety-related events. To the best of our knowledge, our work is the first systematic literature review on the current research within this field. We identify and assess over 300 papers published between 2006 -2021 and further map the relevant papers to different categories based on identified focus areas to give a comprehensive overview of the forensics field and the related research activities. Moreover, we identify forensically relevant data from the literature, link the data to categories, and further map them to required security properties and potential stakeholders. Our categorization makes it easy for practitioners and researchers to quickly find relevant work within a particular sub-field of digital forensics. We believe our contributions can guide digital forensic investigations in automotive and similar areas, such as cyber-physical systems and smart cities, facilitate further research, and serve as a guideline for engineers implementing forensics mechanisms.

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“…However, when the Internet was opened up, while providing convenience for people, it also brought about some serious security problems: the leakage of personal secrets and even state secrets, copyright infringement of works, illegal misappropriation in e-commerce, and so on. Therefore, how to ensure the security of these confidential information is an urgent issue [3][4].…”

Section: Introductionmentioning

confidence: 99%

Embedding and Extraction of Color Image Digital Watermark Based on Quaternion Fourier Transform

2021

IJFS

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With the rapid development of computer and network technology, digital products, especially color digital images, can be popularized on the Internet, but because of their easy access and large-scale copying characteristics, their copyright protection has become increasingly difficult, and piracy and infringement and other issues are becoming more and more serious. Therefore, watermarking technology has increasingly attracted people's attention. Whether it is using digital or color images as host graphics or watermarking materials, it has become one of the hottest watermarking technologies. This article intends to explore the method of embedding and extracting the color image digital watermark using quaternion Fourier transform, and theoretically analyzes the quaternion representation, quaternion Fourier transformation, and logarithmic polar coordinate transformation of color images. And select the middle and low frequency area of the final real part of the quaternion Fourier transform as the embedding area, and carry out the method and process of watermark embedding and extraction. The simulation results show that, in the most typical attack form, the above-mentioned dynamic watermark embedding and extraction algorithm can not only effectively combat filtering attacks and noise intrusion, but also has absolute advantages in combating shear damage.

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Trusted forensics scheme based on digital watermark algorithm in intelligent VANET

Cited by 8 publications

References 14 publications

Machine Vision and Intelligent Algorithm Based on Neural Network

Machine Vision and Intelligent Algorithm Based on Neural Network

A Systematic Literature Review on Automotive Digital Forensics: Challenges, Technical Solutions and Data Collection

Embedding and Extraction of Color Image Digital Watermark Based on Quaternion Fourier Transform

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