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检索条件"主题词=Software Algorithms"

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Enhancing the RSA algorithm using DH principles towards CIA compliance

Enhancing the RSA algorithm using DH principles towards CIA ...

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International Multidisciplinary Information Technology and Engineering Conference (IMITEC)

作者： Alice Benhura Colin Chibaya University of Zimbabwe Harare Zimbabwe School of Natural and Applied Sciences Sol Plaatje University Kimberley Republic of South Africa

ISBN: (纸本)9781665417501

Security remains a major concern in networks and internet communication. Incidents of cyber-attacks are still increasing. Data needs to be protected from these cyber-attacks. Several approaches to data security have been proposed in the past. The existing solutions cannot provide Confidentiality-Integrity-Authenticity (CIA) at once. In this study, we explored the possibilities of incorporating the DH principles into the RSA model to enhance the RSA model towards CIA compliance. It is our desire to design a hybrid RSA model in which the original RSA model’s encrypted messages are signed using DH principles. The proposed designs are motivated by the similarity noted in the properties of the parameter e in the RSA public key (n, e) and the g in the DH public key (n, g). We concatenated the output of the RSA to DH views to give rise to a hybrid model. An experiment was administered in which the dependent variables included memory usage, CPU usage, number of live threads, number of classes, total compile time and process CPU time. We used plain text as the independent variable. Comparison of the ordinary RSA and the hybrid RSA-DH model was done using the six dependent variables. Also, we used benchmarking software to compare the two algorithms. For each of CPU usage, maximum memory usage, number of live threads, number of classes loaded, process CPU time, and total compile time, the performance of the hybrid RSA model was significantly higher than those for the ordinary RSA, with P values consistently above 0.0001. Precisely, the hybrid RSA model outperformed the ordinary RSA model in all categories measured. We concluded that the hybrid RSA is effective.

关键词： Industries software algorithms Public key Benchmark testing software Task analysis Information technology

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Multidimensional Search in the Problem of Determining the Sensitivity when Planning the Placement of VLSI Elements

Multidimensional Search in the Problem of Determining the Se...

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Radiation and Scattering of Electromagnetic Waves (RSEMW)

作者： Vladislav I. Danilchenko Yevgenia V. Danilchenko Viktor M. Kureichik Federal State-Owned Autonomy Educational Establishment of Higher Vocational Education “Southern Federal University” Taganrog Russia

The paper presents a hybrid multidimensional method of bionspired search for determining the sensitivity when planning the placement of very large - scale integration (VLSI) elements based on a genetic algorithm (GA), which makes it possible to create an algorithmic environment in the field of genetic search for solving non – deterministic polynomial (NP) complete problems. The purpose of this work is to find ways to determine the sensitivity based on the bionspired theory. The scientific novelty lies in the development of a hybrid genetic algorithm for bionspirated automated sensitivity determination. The statement of the problem in this work is as follows: to optimize the determination of the sensitivity by using a hybrid GA. A fundamental difference from the known approaches in the use of new modified genetic structures in bionspirated computer-aided design, in addition, a new method for determining the sensitivity, based on a hybrid GA, is presented in the work. Thus, the problem of creating methods, algorithms and software for automated determination of sensitivity is currently of particular relevance. Its solution will improve the quality characteristics of the designed devices, reduce the design time and costs, and reduce the requirements for the developer's qualifications

关键词： Sensitivity software algorithms Electromagnetic scattering Very large scale integration Search problems Genetics software

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Approach to composition of power balance of electric networks

Approach to composition of power balance of electric network...

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International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)

作者： Vadim A. Ageev Konstantin A. Dushutin Dmitriy S. Repyev Dmitriy V. Kazakov Pavel A. Volgushev Alexander I. Burnaev National Research Mordovia State University Saransk Russian Federation

ISBN: (数字)9781728183985

ISBN: (纸本)9781728183992

A variant of the algorithm for the automatic compilation of balances of electric networks capacities of a separate structural division is proposed. The algorithm is implemented in a software package developed by the authors and used to calculate the steady-state modes of electric networks. For a test design scheme, the transmission lines between structural divisions and indicators of power balance were determined and also structured power flows by voltage levels. The conclusion is made about the possibility of using the proposed algorithm in the calculation and justification of technological losses of electricity when it is transmitted over electrical networks.

关键词： Power engineering Power transmission lines software packages software algorithms Propagation losses Steady-state Load flow

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Research on Renewal Probability Problem of Applying Clustering Method Under Big Data

Research on Renewal Probability Problem of Applying Clusteri...

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Consumer Electronics and Computer Engineering (ICCECE), 2021 IEEE International Conference on

作者： Ying Miao Xinlei Zhao Jiankai Zuo Zhongzhi Li Yilin Yan Jin Xie Shenyang Aerospace University Shenyang Tongji University Shanghai

ISBN: (数字)9781728183190

ISBN: (纸本)9781728183206

Under the wave of the big data era, we need to analyze some data sets that cannot be captured and processed with conventional software tools within a certain time frame with new processing modes, so as to obtain stronger decision-making power and insight. In view of this, this paper uses a big data pattern matching algorithm to establish a SOM network (Self-Organizing feature Map) to calculate the probability of auto insurance renewal under the background of complex data. On the one hand, this research will increase the insurance renewal rate. In addition, it can provide advice and reference for the cultivation of auto insurance customer loyalty under the epidemic situation, and has a certain reference role for the development of my country's insurance digitalization.

关键词： Self-organizing feature maps software algorithms Insurance Big Data Probability software tools Pattern matching

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Face Mask Detection using Haar Cascade Classifier Algorithm based on Internet of Things with Telegram Bot Notification

Face Mask Detection using Haar Cascade Classifier Algorithm ...

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Advancement in Data Science, E-learning and Information Systems (ICADEIS), International Conference on

作者： Alam Rahmatulloh Rohmat Gunawan Heni Sulastri Ihsan Pratama Irfan Darmawan Siliwangi University Tasikmalaya Indonesia Telkom University Bandung Indonesia

ISBN: (纸本)9781665437103

The lack of public awareness of wearing masks during the COVID-19 pandemic is one of the causes of the high number of Covid-19 cases in Indonesia. Since the beginning of June 2020, the government has set a New Normal phase. This is done to restore the economy and prevent the spread of the COVID-19 pandemic. During New Normal, activities can still run by implementing health protocols by requiring masks to be worn. Currently, the detection of masks is still done manually by security officers because of the fatigue factor, so that human errors often occur. To overcome this, an automatic system is needed to detect people wearing masks and not wearing masks. In this study, a mask detection system was made using the haar cascade classifier method by utilizing machine learning, image processing, and the internet to facilitate connectivity. The result of this research is an internet of things-based mask detection system using the haar cascade classifier method that runs on a raspberry pi to monitor and distinguish between people with masks and not masks in various light conditions with the help of an additional IR (Infrared) module on the camera. If a person is detected who is not wearing a mask, the program will automatically capture it, and an alarm will sound and send the captured results to the telegram bot. The resulting performance is when the video stream reaches 12-60 fps, the system can run well without stuttering even during the video stream. The connection speed to the telegram bot got excellent results without any delay with an average time of 0.001695977 seconds with a maximum detection distance of 1.2 meters.

关键词： COVID-19 Temperature sensors Bot (Internet) Pandemics software algorithms Machine learning Streaming media

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Comparison of algorithms of Associative Rules Search Apriori and Fp-Growth for Investigation of Time Dependence of Their Execution on Database Parameters

Comparison of Algorithms of Associative Rules Search Apriori...

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International Computer Sciences and Information Technologies (CSIT)

作者： Nataliya Boyko Yaroslav Zhyhaylo Lviv Polytechnic National University Lviv Ukraine

ISBN: (纸本)9781665442589

The research is devoted to a comprehensive study and comparison of algorithms FP-growth and APriori. These algorithms are used in modern areas such as: contextual advertising, creation of recommendations, big data extraction, etc. That is why the study of the feasibility of using specific search algorithms for frequent sets and their comparison is an important task. In the research the substantiation of expediency of using one of the above algorithms depending on the size and other parameters of the database, which is being investigated is created. These and other results obtained in this scientific work can be used to facilitate the task of choosing the algorithm for searching for associative rules after determining the database under study.

关键词： Conferences software algorithms Random access memory Big Data software Transaction databases Data mining

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A Novel Feature Selection Method Based on Salp Swarm Algorithm

A Novel Feature Selection Method Based on Salp Swarm Algorit...

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Information Communication and software Engineering (ICICSE), IEEE International Conference on

作者： Chaokun Yan Zhihao Suo Xinyu Guan Huimin Luo School of Computer and Information Engineering Henan University Kaifeng China

ISBN: (纸本)9781665430302

Biomedical and clinical data usually contain some redundant and irrelevant features, which may lead to misleading and over-fitting problems in the process of modeling algorithms. In order to effectively remove irrelevant or redundant features, the use of feature selection methods can reduce the number of features, improve the accuracy of the model, and reduce the running time. In recent years, Wrapper-based feature selection algorithms have received widespread attention because they can obtain better accuracy. This paper uses a wrapper feature selection algorithm FS_SSA based on Salp swarm. In the FS_SSA algorithm, the position of the follower salps is updated by the relative position of the Salp. The followers gradually moves to the leading Salp. The gradual movement of the follower salps can make the Salp Swarm Algorithm not easy to fall into a local optimal state. The two behaviors of exploration and development in subset searches are balanced, and the search process of feature subsets is prevented from falling into the local optimum. Experimental results based on public medical data sets show that the FS_SSA has better classification performance than other methods.

关键词： software algorithms Feature extraction Robustness Data models Classification algorithms Data mining Particle swarm optimization

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A Fast Design and Optimization Method Based on Surrogate Model and Machine Learning

A Fast Design and Optimization Method Based on Surrogate Mod...

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International Conference on Vacuum Electronics

作者： Wen Xi Li Ying Li Ran Yan Yong Luo School of Electronic Science and Engineering University of Electronic Science and Technology of China ChengDu China

ISBN: (纸本)9781665431187

Design and optimize an electromagnetic device usually relies on the use of simulation software and intelligent optimization algorithm. Designer need to create a model of device, assign relevant design parameters, then the computer will instead of designer to simulate device and get the optimal result. But this method has some obvious disadvantages. First, how to create an appropriate model relies on designers' experience. Second, it costs a lot of time to do simulation calculations. Therefore, this method has long design cycles and low design efficiency. In order to overcome these weaknesses, this paper introduce a faster design method based on surrogate model and machine learning. Compared with the old method, it can be obviously found that the new method has lower computational complexity and higher convergence speed.

关键词： Electromagnetic devices Costs Computational modeling Design methodology software algorithms Optimization methods Machine learning

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Preventing Enclave Malware with Intermediate Enclaves on Semi-honest Cloud Platforms

Preventing Enclave Malware with Intermediate Enclaves on Sem...

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International Conference on Big Data and Smart Computing (BIGCOMP)

作者： Soo Jung Moon Hoorin Park Wonjun Lee School of Cybersecurity Korea University Seoul South Korea

ISBN: (数字)9781728189246

ISBN: (纸本)9781728189253

Threats to data processing in the cloud computing environment are increasing with emerging cloud applications. Intel software Guard Extensions (SGX) implements a Trusted Execution Environment (TEE) through hardware-based isolation, which can enhance the security of cloud applications by providing a separate secure space that does not reveal its interior. A trusted memory area isolated by SGX, so-called enclave, protects the confidential code and data from any other software, including highly privileged system software. However, the adversary also benefits from isolation by inserting malicious code into the enclave where the system cannot detect it. Existing studies suggest various measures to deal with enclave malware, but these are based on an underlying assumption that the system must be trusted, which does not apply to the semi-honest cloud platform. To this end, we propose a novel method, named Interclave, that protects the system from enclave malware in the cloud computing environment without trusting any component other than the intermediate enclave. Interclave forces every ECALL and OCALL of a suspicious enclave to be executed through an intermediate enclave. This prevents the malicious behavior of enclave malware such as code-reuse attacks that modify the stack or register values associated with the program's execution address. Interclave stores and restores all stack and register values before and after the execution of the suspicious enclave, ensuring the integrity of these values. Our implementation is done with slight code modifications which occupy only a little storage capacity without complicated hardware changes.

关键词： Cloud computing software algorithms Malware Hardware System software Registers Security

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A Review on Sign Language Recognition Systems

A Review on Sign Language Recognition Systems

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International Conference on Applied Electromagnetics, Signal Processing and Communication (AESPC)

作者： Rajiv Ranjan B Shivalal Patro Mohammad Daim Khan Manas Chandan Behera Raushan Kumar Utsav Raj School Of Electronics KIIT Deemed University Bhubaneswar India

ISBN: (纸本)9781665443005

Providing the software which aims to bridge the gap between the inarticulate community and the rest of the world for easing the communication is what is the prioritized goal of Sign Language Recognition software. Open CV for hand recognition, Gaussian blur, and contour approximation technique is used for the enhancement of the recognized gesture. For the accurate prediction of the software, the TensorFlow framework is best suited with a CNN model of VGG-16 architecture and the training method of Transfer Learning. Usage of these tools leads to the accurate prediction of sign language gestures into the English alphabet with higher accuracy. The technology stack is robust and scalable, considering the future scope of the project. Various methods and structures for sign language recognition are discussed in this review paper. This will aid researchers in identifying the most suited approaches or algorithms for their application.

关键词： Training Measurement software algorithms Transfer learning Sociology Gesture recognition Assistive technologies

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