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Concealment of iris features based on artificial noises

ETRI JOURNAL 2019年第5期41卷 599-607页

作者： Jiao, Wenming Zhang, Heng Zang, Qiyan Xu, Weiwei Zhang, Shuaiwei Zhang, Jian Li, Hongran Jiangsu Ocean Univ Lianyungang Jiangsu Peoples R China China Univ Min & Technol Xuzhou Jiangsu Peoples R China

Although iris recognition verification is considered to be the safest method of biometric verification, studies have shown that iris features may be illegally used. To protect iris features and further improve the security of iris recognition and verification, this study applies the Gaussian and Laplacian mechanisms and to hide iris features by differentiating privacy. The efficiency of the algorithm and evaluation of the image quality by the image hashing algorithm are selected as indicators to evaluate these mechanisms. The experimental results indicate that the security of an iris image can be significantly improved using differential privacy protection.

关键词： differential privacy hash algorithm iris features noise mechanism similarity comparison

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Hybrid generative-discriminative hash tracking with spatio-temporal contextual cues

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NEURAL COMPUTING & APPLICATIONS 2018年第2期29卷 389-399页

作者： Dai, Manna Cheng, Shuying He, Xiangjian Fuzhou Univ Fuzhou Fujian Peoples R China Univ Technol Sydney NSW Australia

Visual object tracking is of a great application value in video monitoring systems. Recent work on video tracking has taken into account spatial relationship between the targeted object and its background. In this paper, the spatial relationship is combined with the temporal relationship between features on different video frames so that a real-time tracker is designed based on a hash algorithm with spatio-temporal cues. Different from most of the existing work on video tracking, which is regarded as a mechanism for image matching or image classification alone, we propose a hierarchical framework and conduct both matching and classification tasks to generate a coarse-to-fine tracking system. We develop a generative model under a modified particle filter with hash fingerprints for the coarse matching by the maximum a posteriori and a discriminative model for the fine classification by maximizing a confidence map based on a context model. The confidence map reveals the spatio-temporal dynamics of the target. Because hash fingerprint is merely a binary vector and the modified particle filter uses only a small number of particles, our tracker has a low computation cost. By conducting experiments on eight challenging video sequences from a public benchmark, we demonstrate that our tracker outperforms eight state-of-the-art trackers in terms of both accuracy and speed.

关键词： hash algorithm Spatio-temporal cues Hierarchical framework Maximum a posteriori (MAP) Confidence map

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Top Position Sensitive Ordinal Relation Preserving Bitwise Weight for Image Retrieval

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algorithmS 2020年第1期13卷 18页

作者： Wang, Zhen Sun, Fuzhen Zhang, Longbo Wang, Lei Liu, Pingping Shandong Univ Technol Sch Comp Sci & Technol Zibo 255000 Peoples R China Jilin Univ Sch Comp Sci & Technol Changchun 130000 Peoples R China

In recent years, binary coding methods have become increasingly popular for tasks of searching approximate nearest neighbors (ANNs). High-dimensional data can be quantized into binary codes to give an efficient similarity approximation via a Hamming distance. However, most of existing schemes consider the importance of each binary bit as the same and treat training samples at different positions equally, which causes many data pairs to share the same Hamming distance and a larger retrieval loss at the top position. To handle these problems, we propose a novel method dubbed by the top-position-sensitive ordinal-relation-preserving bitwise weight (TORBW) method. The core idea is to penalize data points without preserving an ordinal relation at the top position of a ranking list more than those at the bottom and assign different weight values to their binary bits according to the distribution of query data. Specifically, we design an iterative optimization mechanism to simultaneously learn binary codes and bitwise weights, which makes their learning processes related to each other. When the iterative procedure converges, the binary codes and bitwise weights are effectively adapted to each other. To reduce the training complexity, we relax the discrete constraints of both the binary codes and the indicator function. Furthermore, we pretrain a tensor ordinal graph to decrease the time consumption of computing a relative similarity relationship among data points. Experimental results on three large-scale ANN search benchmark datasets, i.e., SIFT1M, GIST1M, and Cifar10, show that the proposed TORBW method can achieve superior performance over state-of-the-art approaches.

关键词： image retrieval binary code hash algorithm bitwise weights top-rank-sensitive ordinal-relation-preserving

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Fast and robust map-matching algorithm based on a global measure and dynamic programming for sparse probe data

Fast and robust map-matching algorithm based on a global mea...

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26th Intelligent Transport Systems (ITS) World Congress

作者： Yokota, Takayoshi Okude, Mariko Sakamoto, Toshiyuki Kitahara, Reiji Tottori Univ Fac Engn Cross Informat Res Ctr CiRC 4-101 Koyamacho Minami Tottori Tottori 6808552 Japan Hitachi Ltd Smart Syst Res Dept Res & Dev Grp 7-1-1 Omika Hitachi Ibaraki 3191292 Japan Hitachi Ltd Social Infrastruct Solut Operat Govt Intelligent Transport Syst Business Promot Ctr Social Infrastruct Solut Operat GovtKoto Ku Shinsuna Plaza 6-27Shinsuna 1 Chome Tokyo 1368632 Japan Hitachi Ltd Social Innovat Business Div Smart Soc Serv Dept Minato Ku JR Shinagawa East Bldg 2-18-1 Tokyo 1088250 Japan

The location data from positioning devices such as those utilising global navigation satellite system (GNSS) provides vital information for the probe-car systems aiming at solving road-traffic problems. In the case of the Japanese Electronic Toll Collection System 2.0, a huge amount of probe data can be gathered at intervals of 200 m throughout the country. However, it is not easy for conventional map-matching algorithms to perform appropriately when they target this sparse probe data. Since for the sparser probe data of this range, it is required to check the reachability of the probe car between adjacent position fixes by using the Dijkstra's algorithm or A* algorithms. These algorithms, however, consume much computation power and can be a serious obstacle for map-matching processing, especially in real-time applications. The authors propose a new dynamic-programming-based map-matching algorithm, which can also reduce the calculation time for the reachability test by introducing a hash algorithm. The results of the evaluation confirm the robustness and the effectiveness of the proposed algorithm in terms of both accuracy and computational performance.

关键词： road traffic traffic engineering computing traffic information systems dynamic programming image matching satellite navigation Global Positioning System robust map-matching algorithm global measure dynamic programming sparse probe data location data probe-car systems Japanese Electronic Toll Collection System 2 sparser probe data probe car adjacent position fixes Dijkstra's algorithm dynamic-programming-based map-matching algorithm hash algorithm road-traffic problems

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An Approach to Defense Dictionary Attack with Message Digest Using Image Salt 13th

An Approach to Defense Dictionary Attack with Message Digest...

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13th International Conference on Ubiquitous Information Management and Communication (IMCOM)

作者： Park, Sun-young Kim, Keecheon Konkuk Univ Dept IT Convergence Informat Secur Seoul South Korea Konkuk Univ Dept Comp Sci & Engn Seoul South Korea

ISBN: (纸本)9783030190637;9783030190620

hash algorithms have been widely used for cryptography. It has been impossible to decrypt the ciphertexts generated through hash algorithms, as an operation that damages the original text is performed. However, various methods of attack occurred over time after the algorithm was developed. The vulnerability of SHA1 (an old hash algorithm) has been revealed, and there has been a great deal of data available for dictionary attacks. Although the industry has been gradually refraining from using SHA1, it remains in use in some existing systems for various reasons. For example, when problems resulting from service interruption or mass update are critical, updating the encryption algorithm can be a burden. In this study, we aim to increase the complexity of ciphertexts by postprocessing hash ciphertext. For that, image salting techniques are used using two-dimensional array masking. This will allow the use of hash ciphertexts with increased complexity in some devices that are forced to use old hash algorithms for various reasons.

关键词： hash algorithm Image processing Rainbow table Message digest Two-dimensional array Image salting

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An Optimization Method for Encrypting CAN Messages

An Optimization Method for Encrypting CAN Messages

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第三十九届中国控制会议

作者： Xinyu Yao Hui Sun Xiangdong Jin Yifan Ding College of Electrical Engineering Zhejiang University College of Information Science & Electronic Engineering Zhejiang University

The electric vehicles nowadays are managed by networked controllers. Because of the advantages of fast, reliable, simple wiring, and light weight, CAN bus has become one of the most widely used field buses in the world. Most of the networks were designed with little concern about security which has recently motivated researchers to demonstrate various kinds of attacks against the system. This paper proposes an optimization method for encrypting CAN Messages. In addition, a single frame CAN message can only transmit 64-bit valid data, it is often necessary to complete the communication task by sending a multi-frame message with the same ID. The AES algorithm has become the first choice for encrypting multi-frame CAN messages with its extremely high reliability and fast encryption and decryption speed. In this paper, a method of encrypting multi-frame CAN messages based on the AES algorithm is proposed, and on the basis of which a hash value is optimized to ensure the security of data transmitted on the CAN bus.

关键词： Electric Vehicles CAN Bus Information Security Symmetric Encryption algorithm AES algorithm hash algorithm

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A novel chaotic hash-based attribute-based encryption and decryption on cloud computing

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INTERNATIONAL JOURNAL OF ELECTRONIC SECURITY AND DIGITAL FORENSICS 2018年第1期10卷 1-19页

作者： Tamma, Lakshmi Naga Divya Ahamad, Shaik Shakeel KL Univ Dept CSE Guntur India Majmaah Univ CCIS Riyadh Saudi Arabia

Cloud computing has evolved as widely accepted and used paradigm for service providers as well as customers on internet. As users share their sensitive information on cloud, it has become the major concern of the cloud service providers to make their environment more secure and trustworthy. For adding extended security, the sensitive data are needed to be encrypted prior to its upload on cloud. The numbers of cryptographic algorithms are proposed by various researchers for this purpose. The main objectives of the attribute-based encryption (ABE) models are to achieve security and access control. To resolve the issue of this conventional attribute-based model, a novel modified and extended hash-based ABE model was implemented on the cloud storage data. Experimental results proved that the proposed model has high computational accuracy compared to traditional ABE models in terms of time and data size concerned.

关键词： attribute-based encryption ABE cloud security hash algorithm cipher-text policy attribute-based encryption CPABE key policy attribute-based encryption KPABE

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Design of an Automatic Testing System for Camera UI Test

Design of an Automatic Testing System for Camera UI Test

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第三十九届中国控制会议

作者： Pengfei Ji Yiwen Qi Chi Zhang Ning Xing School of Automation Shenyang Aerospace University

In view of the current tedious camera inspection process,limited test cycle and complex test content,in order to reduce the work intensity of testers,the automatic test is designed for functional test with high repeatability and easy *** paper uses video image processing technology and proposes an automatic test application for camera User Interface（UI）.The experimental results show that this system can meet the test requirements for UI in camera function test,which can effectively save the time cost of UI test and improve test efficiency.

关键词： Camera Detection Technology Automatic Test hash algorithm Video Image Processing

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A novel chaotic encryption scheme based on image segmentation and multiple diffusion models

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OPTICS AND LASER TECHNOLOGY 2018年 108卷 558-573页

作者： Wang, Mingxu Wang, Xingyuan Zhang, Yingqian Gao, Zhenguo Dalian Univ Technol Sch Elect & Informat Engn Dalian 116024 Peoples R China Dalian Maritime Univ Sch Informat Sci & Technol Dalian 116026 Peoples R China Xiamen Univ Tan Kah Kee Coll Sch Informat Sci & Technol Zhangzhou 363105 Peoples R China

Based on image segmentation and multiple diffusion models, a novel chaotic encryption scheme is proposed in this paper. Firstly, a random key is generated to calculate the initial value and control parameter of chaotic map. Secondly, the SHA-512 hash algorithm is used to compute a hash array based on plain image, which is used as secret keys. Finally, according to parts values of that array, an image are divide into sub-blocks and some diffusion model are selected respectively. It is proved by simulation results and security analysis that the proposed scheme has a better security and can withstand common attacks. (C) 2018 Elsevier Ltd. All rights reserved.

关键词： Chaotic map hash algorithm Permutation and diffusion Security analysis Image encryption

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An integrated approach for data security in vehicle diagnostics over internet protocol and software update over the air

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COMPUTERS & ELECTRICAL ENGINEERING 2018年 71卷 578-593页

作者： Mayilsamy, Kathiresh Ramachandran, Neelaveni Raj, Vismitha Sunder PSG Coll Technol Dept Elect & Elect Engn Coimbatore 641004 Tamil Nadu India

An integrated approach that uses a combination of cryptography and steganography to enhance the data security in automotive applications is proposed in this paper. In this method, the data is encrypted using the modified RSA cryptographic algorithm and the encrypted data is embedded along the edges of the image using Least Significant Bit (LSB) technique. The edges are detected using fuzzy logic approach. This integrated approach is proposed mainly for Diagnostics over Internet Protocol (DoIP) and Software Update over the Air (SOTA) as they involve exchange of highly sensitive data. In addition, the authenticity of the source of software update is verified using hash algorithm in SOTA. The proposed method is implemented in MATLAB with Python as back-end platform and the data integrity is validated against various attempts to hack the data using online simulators.

关键词： Diagnostics over Internet Protocol (DoIP) Software Update over Air (SOTA) Data security Cryptography Steganography Fuzzy logic hash algorithm

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