One-way hash function based on hyper-chaotic cellular neural network

The design of an efficient one-way hash function with good performance is a hot spot in modern cryptography researches. In this paper, a hash function construction method based on cell neural network with hyper-chaos characteristics is proposed. First, the chaos sequence is gotten by iterating cellular neural network with Runge Kutta algorithm, and then the chaos sequence is iterated with the message. The hash code is obtained through the corre- sponding transform of the latter chaos sequence. Simulation and analysis demonstrate that the new method has the merit of convenience, high sensitivity to initial values, good hash performance, especially the strong stability.

One-way hash function construction based on the spatiotemporal chaotic system

Based on the spatiotemporal chaotic system, a novel algorithm for constructing a one-way hash function is proposed and analysed. The message is divided into fixed length blocks. Each message block is processed by the hash compression function in parallel. The hash compression is constructed based on the spatiotemporal chaos. In each message block, the ASCII code and its position in the whole message block chain constitute the initial conditions and the key of the hash compression function. The final hash value is generated by further compressing the mixed result of all the hash compression vulues. Theoretic analyses and numerical simulations show that the proposed algorithm presents high sensitivity to the message and key, good statistical properties, and strong collision resistance.

Security analysis of a one-way hash function based on spatiotemporal chaos

The collision and statistical properties of a one-way hash function based on spatiotemporal chaos are investigated. Analysis and simulation results indicate that collisions exist in the original algorithm and, therefore, the original algorithm is insecure and vulnerable. An improved algorithm is proposed to avoid the collisions.

Constructing a one-way hash function based on the unified chaotic system

A new one-way hash function based on the unified chaotic system is constructed. With different values of a key parameter, the unified chaotic system represents different chaotic systems, based on which the one-way hash function algorithm is constructed with three round operations and an initial vector on an input message. In each round operation, the parameters are processed by three different chaotic systems generated from the unified chaotic system. Feed-forwards are used at the end of each round operation and at the end of each element of the message processing. Meanwhile, in each round operation, parameter-exchanging operations are implemented. Then, the hash value of length 160 bits is obtained from the last six parameters. Simulation and analysis both demonstrate that the algorithm has great flexibility, satisfactory hash performance, weak collision property, and high security.

Numeric Identifier Transmission Algorithm Using Hash Function

When developing programs or websites, it is very convenient to use relational databases, which contain powerful and convenient tools that allow to work with data very flexibly and get the necessary information in a matter of milliseconds. A relational database consists of tables and records in these tables, each table must have a primary key, in particular, it can be a number of BIGINT type, which is a unique index of a record in the table, which allows to fetch operation with maximum speed and O (1) complexity. After the operation of writing a row to the table of database, the program receives the row identifier ID in the form of a number, and in the future this ID can be used to obtain this record. In the case of a website, this could be the GET method of the http protocol with the entry ID in the request. But very often it happens that the transmission of an identifier in the clear form is not safe, both for business reasons and for security reasons of access to information. And in this case, it is necessary to create additional functionality for checking access rights and come up with a way to encode data in such a way that it would be impossible to determine the record identifier, and this, in turn, leads to the fact that the program code becomes much more complicated and also increases the amount of data, necessary to ensure the operation of the program. This article presents an algorithm that solves these problems “on the fly” without complicating the application logic and does not require resources to store additional information. Also, this algorithm is very reliable since it is based on the use of hash functions and synthesized as a result of many years of work related to writing complex systems that require an increased level of data security and program performance.

基于Simhash算法的题库查重系统的设计与实现

Simhash算法是一种基于局部敏感哈希(LSH)的技术,以其快速的计算速度和高度的查重准确性而知名。该算法通过将文本特征转换为二进制码,进而通过计算这些二进制码之间的汉明距离来评估文本的相似度。在文本去重和重复文档检测等多个领域,Simhash算法已经展现出了显著的效果。鉴于此,将Simhash算法应用于题库查重具有很高的可行性和实际应用价值。

New Hash Function Based on Nonlinear Method

Hash functions are often used in the authentication of information security field. With the development of electronic commerce, the reliability of authentication is paid more and more attention to. This paper describes an N - LFSR which combined nonlinear S - box with the LF-SR, and substitutes it for CLS operator in hash function. The efficiency of new hash function is not drop and the ability of defence attack is strengthened.

Hash function construction using weighted complex dynamical networks

A novel scheme to construct a hash function based on a weighted complex dynamical network （WCDN） generated from an original message is proposed in this paper. First, the original message is divided into blocks. Then, each block is divided into components, and the nodes and weighted edges are well defined from these components and their relations. Namely, the WCDN closely related to the original message is established. Furthermore, the node dynamics of the WCDN are chosen as a chaotic map. After chaotic iterations, quantization and exclusive-or operations, the fixed-length hash value is obtained. This scheme has the property that any tiny change in message can be diffused rapidly through the WCDN, leading to very different hash values. Analysis and simulation show that the scheme possesses good statistical properties, excellent confusion and diffusion, strong collision resistance and high efficiency.

Hash function based on the generalized Henon map

A new Hash function based on the generalized Henon map is proposed. We have obtained a binary sequence with excellent pseudo-random characteristics through improving the sequence generated by the generalized Henon map, and use it to construct Hash function. First we divide the message into groups, and then carry out the Xor operation between the ASCII value of each group and the binary sequence, the result can be used as the initial values of the next loop. Repeat the procedure until all the groups have been processed, and the final binary sequence is the Hash value. In the scheme, the initial values of the generalized Henon map are used as the secret key and the messages are mapped to Hash values with a designated length. Simulation results show that the proposed scheme has strong diffusion and confusion capability, good collision resistance, large key space, extreme sensitivity to message and secret key, and it is easy to be realized and extended.

Message Authentication with a New Quantum Hash Function

To ensure the security during the communication,we often adopt different ways to encrypt the messages to resist various attacks.However,with the computing power improving,the existing encryption and authentication schemes are being faced with big challenges.We take the message authentication as an example into a careful consideration.Then,we proposed a new message authentication scheme with the Advanced Encryption Standard as the encryption function and the new quantum Hash function as the authentication function.Firstly,the Advanced Encryption Standard algorithm is used to encrypt the result of the initial message cascading the corresponding Hash values,which ensures that the initial message can resist eavesdropping attack.Secondly,utilizing the new quantum Hash function with quantum walks can be much more secure than traditional classical Hash functions with keeping the common properties,such as one-wayness,resisting different collisions and easy implementation.Based on these two points,the message authentication scheme can be much more secure than previous ones.Finally,it is a new way to design the message authentication scheme,which provides a new thought for other researchers in the future.Our works will contribute to the study on the new encryption and authentication functions and the combination of quantum computing with traditional cryptology in the future.

The Normal Meromorphic Functions Family Concerning Higher Order Derivative and Shared Set by One-Way

Let F be a meromorphic functions family on the unit disc Δ, If for every (the zeros of f is a multiplicity of at least k) and if then and ( ), then F is normal on Δ.

Normality of Meromorphic Functions Family and Shared Set by One-way

We studied the normality criterion for families of meromorphic functions which related to One-way sharing set, and obtain two normal criterions, which improve the previous results.

Deployment of Hash Function to Enhance Message Integrity in Wireless Body Area Network (WBAN)

Message integrity is found to prove the transfer information of patient in health care monitoring system on the human body in order to collect and communicate the human personal data. Wireless body area network (WBAN) applications are the fast growing technology trend but security and privacy are still largely ignored, since they are hard to achieve given the limited computation and energy resources available at sensor node level. In this paper, we propose simple hash based message authentication and integrity code algorithm for wireless sensor networks. We test the proposed algorithm in MATLAB on path loss model around the human body in two scenarios and compare the result before and after enhancement and show how sensors are connected with each other to prove the message integrity in monitoring health environment.

Tibetan Sorting Method Based on Hash Function

Sorting the Tibetan language quickly and accurately requires first identifying the component elements that make up Tibetan syllables and then sorting by the priority of the component.Based on the study of Tibetan text structure,grammatical rules and syllable structure,we present a structurebased Tibetan syllable recognition method that uses syllable structure instead of grammar.This method avoids complicated Tibetan grammar and recognizes the components of Tibetan syllables simply and quickly.On the basis of identifying the components of Tibetan syllables,a Tibetan syllable sorting algorithm that conforms to the language sorting rules is proposed.The core of the Tibetan syllable sorting algorithm is a hash function.Research has found that the sorting of all legal Tibetan syllables requires eight components of information.The hash function is based on this discovery and can be assigned corresponding weights according to different sorting verify the effectiveness of the Tibetan sorting algorithm,we established an experimental corpus using the Tibetan sorting standard document recognized by the majority of Tibetan users,namely the New Tibetan Orthographic Dictionary.Experiments show that this method produces results completely consistent with standard reference works,with an accuracy of 100%,and with minimal computational time.

并行耦合动态整数帐篷Hash函数设计

提出一种基于耦合动态整数帐篷映射的并行Hash函数。针对数据量较大、处理速度较慢等问题,采用MD6算法框架,利用多核处理器技术并行处理数据。同时在压缩函数中,利用双向耦合映像格子模型进行扩散,用动态整数帐篷映射代替传统的逻辑函数。实验结果表明,该算法可根据需要获得不同长度的Hash值,使用较短时间即可完成对数据的杂凑处理,同时具有较为理想的混乱与扩散性质,符合Hash函数的各项性能要求。

Constructing Hash Function Based on Coupled Network Generated by Logarithmic Map

In this paper,based on coupled network generated by chaotic logarithmic map,a novel algorithm for constructing hash functions is proposed,which can transform messages and can establish a mapping from the transformed messages to the coupled matrix of the network.The network model is carefully designed to ensure the network dynamics to be chaotic.Through the chaotic iterations of the network,quantization and exclusive-or (XOR) operations,the algorithm can construct hash value with arbitrary length.It is shown by simulations that the algorithm is extremely sensitive to the initial values and the coupled matrix of the network,and has excellent performance in one-way,confusion and diffusion,and collision resistance.

红外热图Hash值评估度洛西汀治疗持续性躯体形式疼痛障碍的效用评价

目的对医用红外热图分析中的差异哈希算法(Hash function,Hash值)评估度洛西汀治疗持续性躯体形式疼痛障碍(persistent somatoform pain disorder,PSPD)的效用进行再评价。方法选取2022年2-12月在我科门诊诊断为PSPD并接受度洛西汀药物治疗的70例患者,收集治疗前,治疗后4、8、12周的红外热图Hash值、疼痛视觉模拟评分(visual analogue scale,VAS)、汉密尔顿焦虑量表14项评分(hamilton anxiety scale-14,HAMA-14)、HAMD-17、匹兹堡睡眠质量指数量表评分(Pittsburgh sleep quality index,PSQI)、健康问卷躯体症状群量表15项评分(patient health questionnaire-15,PHQ-15)、症状自评量表90项评分(symptom checklist-90,SCL-90),采用Spearman分析红外热图Hash值与VAS、HAMA-14、HAMD-17、PSQI、PHQ-15、SCL-90量表评分的相关性,同时记录对比各时间点疼痛缓解率、药物不良反应等。结果70例PSPD患者经度洛西汀治疗后4、8、12周疼痛缓解率分别为31.43%、67.14%、78.57%。与治疗前比较,红外热图Hash值随治疗时间的进展呈上升趋势(P=0.000),而VAS、HAMA-14、HAMD-17、PSQI、PHQ-15和SCL-90量表评分均随治疗时间的进展呈下降趋势(P=0.000)。治疗前及治疗后4、8、12周的红外热图Hash值与VAS评分的相关系数r分别为-0.457、-0.313、-0.609、-0.696,与HAMA-14评分的相关系数r分别为-0.597、-0.433、-0.524、-0.629,与HAMD-17评分的相关系数r分别为-0.677、-0.315、-0.319、-0.448,与PSQI评分的相关系数r分别为-0.462、-0.284、-0.361、-0.446,与PHQ-15评分的相关系数r分别为-0.542、-0.357、-0.455、-0.620,与SCL-90评分的相关系数r分别为-0.485、-0.402、-0.483、-0.516。治疗12周后与治疗前红外热图Hash值差值及VAS、HAMA-14、HAMD-17、PSQI、PHQ-15、SCL-90量表评分差值的相关系数r分别为-0.734、-0.429、-0.461、-0.314、-0.369、-0.293。结论红外热图Hash值可以作为一种辅助诊断PSPD和治疗后效果评价的客观指标。

面向云储存的基于感知Hash函数的图像去重技术研究

由于图像的重复性,提出面向云储存的基于感知哈希(Hash)函数的图像去重技术方案。在通过感知Hash函数对图像进行处理后,解决数据重复问题的基础上,通过双重检测的方式最大限度地避免因图像信息的问题,造成数据错误删除的情况。为进一步验证基于感知Hash函数的图像去重技术方案的有效性,通过实验仿真的方式进行分析,经过对比分析发现,基于感知Hash函数的图像去重技术方案和其他两种方案中,前者不仅图像的误删概率有所降低,且重复图像的删除率更高。

一种分散变色龙哈希函数的链上隐私数据编辑机制

随着区块链技术广泛应用于各个领域,数据安全及用户隐私出现了很多未知威胁和挑战。对于恶意携带用户隐私或者携带非法攻击代码的非法交易数据,通过属性策略、变色龙哈希算法,设计了基于多方监控的变色龙哈希碰撞数据编辑机制(DecPRB),该DecPRB机制是在变色龙哈希编辑机制的基础上,优化设计以方便管理的陷门哈希函数,通过计算哈希碰撞实现区块链历史数据编辑,即可将在区块链上公开的那些非法数据(特别是隐私数据或攻击代码)删除,当然在更新编辑过程中,所有修改权限由链上所有节点共同监控。最后通过安全性分析推理出DecPRB机制,既不改变区块链的安全属性,又具有很强的抗攻击能力,再通过仿真实验验证DecPRB机制具有一定的有效性,符合数据安全需求。该DecPRB机制在复杂的分布式网络环境中(特别是分布式的云计算和区块链系统)能有效保护数据安全和隐私问题,对数字经济时代的发展作出一定的贡献。