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检索条件"主题词=Software Algorithms"

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A Fast-Detection and Fault-Correction Algorithm against Persistent Fault Attack

A Fast-Detection and Fault-Correction Algorithm against Pers...

引用

IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

作者： Yukun Cheng Mengce Zheng Fan Huang Jiajia Zhang Honggang Hu Nenghai Yu Key Laboratory of Electromagnetic Space Information CAS University of Science and Technology of China Hefei China

ISBN: (纸本)9781665416597

Persistent Fault Attack (PFA) is a recently proposed Fault Attack (FA) method in CHES 2018. It is able to recover full AES secret key in the Single-Byte-Fault scenario. It is demonstrated that classical FA countermeasures, such as Dual Modular Redundancy (DMR) and mask protection, are unable to thwart PFA. In this paper, we propose a fast-detection and fault-correction algorithm to prevent PFA. We construct a fixed input and output pair to detect faults rapidly. Then we build two extra redundant tables to store the relationship between the adjacent elements in the S-box, by which the algorithm can correct the faulty elements in the S-box. Our experimental results show that our algorithm can effectively prevent PFA in both Single-Byte-Fault and Multiple-Bytes-Faults scenarios. Compared with the classical FA countermeasures, our algorithm has a much better effect against PFA. Further, the time cost of our algorithm is 40% lower than the classical FA countermeasures.

关键词： Privacy Costs software algorithms Redundancy Light emitting diodes Elliptic curve cryptography software

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BA-BNN: Detect LDoS Attacks in SDN Based on Bat Algorithm and BP Neural Network

BA-BNN: Detect LDoS Attacks in SDN Based on Bat Algorithm an...

引用

IEEE International Conference on Big Data and Cloud Computing (BdCloud)

作者： Xinmeng Li Nengguang Luo Dan Tang Zhiqing Zheng Zheng Qin Xinxiang Gao College of Computer Science and Electronic Engineering (CSEE) Hunan University Hunan China

Low-rate Denial of Service (LDoS) attack is a novel form of the denial-of-service attack. Consequently, there is something difficult to detect it by conventional attack detection techniques. BP neural network detects LDoS attacks is feasible because of its features such as high non-linear. However, it also has the defects such as poor global search ability. Bat algorithm that has the strong global search ability can make up those defects. We proposed a LDoS attack detection method that is on account of Bat Algorithm and BP Neural Network (BA-BNN). For the sake of making a verification on how valid our method is, a series of LDoS attack experiments were carried out in a virtual software Defined Network (SDN) composed of Mininet emulator and Ryu controller, obtaining the TCP and UDP traffic data. We use the algorithm called random forest to select characteristics of training data for BP neural network ameliorated by an intelligent algorithm, Bat algorithm, and construct the LDoS attack detection model. We compare our method with some other methods. The results show that the method we adopt is a highly accurate LDoS attack detection method. It has higher correct rate and detection rate, and lower false negative rate and false positive rate.

关键词： Neural networks software algorithms Training data Denial-of-service attack Feature extraction Data models software defined networking

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Solving the Cross Domain Problem with Functional Encryption

Solving the Cross Domain Problem with Functional Encryption

引用

MILCOM, Military Communications Conference

作者： Alan Kaminsky Michael Kurdziel Steve Farris Marcin Łukowiak Stanisław Radziszowski Rochester Institute of Technology L3Harris Technologies

A Cross Domain Problem (CDP) is the question of how to securely access and exchange information between the domains of varying security levels. A Cross Domain Solution (CDS) addresses the CDP by designing the framework and protocols for such access and transfers. Most existing CDS methods rely on policies and trusted parties to manage different security levels. A CDS that can function in the presence of untrusted parties is a challenge. Functional Encryption (FE) is an encryption scheme in which a secret key allows one to compute a specific function of plaintext from the ciphertext. FE is a generalization of identity-based and attribute-based encryption frameworks. General and simultaneously practical FE is an emerging area, and only special types of encryption schemes and functions are effectively handled within existing systems. We apply the concepts of FE to explore a new solution to the CDP, and we argue that our solution does not leak information, provided that widely accepted assumptions about standard digital signatures hold. We built a practical software case study application using a trusted Key Distribution Center (KDC), a standard symmetric key block cipher component (like the AES), and using the Elliptic Curve Digital Signature Algorithm (ECDSA). The experiments show that the computational overhead introduced to routing by our method is cost effective, where the additional cost is equivalent to just a few applications of standard digital signatures.

关键词： Costs Protocols Memory management software algorithms Routing Iron software

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Invariant Continuation of Discrete Multi-Valued Functions and Their Implementation

Invariant Continuation of Discrete Multi-Valued Functions an...

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IOT, Electronics and Mechatronics Conference (IEMTRONICS), IEEE International

作者： Anvar Kabulov Ibrokhimali Normatov Erkin Urunbaev Firdavs Muhammadiev National University of Uzbekistan named after Mirzo Ulugbek Tashkent Uzbekistan Samarkand State University Samarkand Uzbekistan

The article discusses partially defined discrete functions and investigates the problem of logical continuation of such functions in the class of canonical normal forms. A theorem is proved on the invariant continuation of a multivalued function in the class of canonical forms, which does not depend on the adopted coding. An algorithm for constructing a set of invariant points independent of the adopted encoding and software for such an invariant continuation are constructed.

关键词： Mechatronics Conferences software algorithms Encoding software

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Rapid Deployment of Ultra-Wideband Indoor Positioning System

Rapid Deployment of Ultra-Wideband Indoor Positioning System

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International Joint Conference on Computer Science and software Engineering (JCSSE)

作者： Phatham Loahavilai Chayut Thanapirom Patharakorn Rattanawan Thawatchart Chulapakorn Sirawit Yanwicharaporn Cherdsak Kingkan Kiattiwut Prasertsuk Natcha Cota Tsinghua University Beijing China National Electronics and Computer Technology Center Pathum Thani Thailand

With the emergence of ultra-wideband (UWB) technology to consumer levels, it is possible to utilize a mobile device for indoor applications such as positioning systems on the Internet of Things (IoT). An automatic configuration of UWB nodes is designed to initiate and form a localized coordinate system while minimizing setup time. We also overcome difficulties of UWB configuration on single-way broadcast, the limit of usage, and positioning uncertainty. A proposed design on the coordination formulation makes it possible to have arbitrary numbers of anchors for the setup. A numerical method is thoroughly demonstrated together with optimization of positioning error due to practical usage. The proposed one-time setup time is within 1 minute, which is by far shorter than the manual setup and enables a strong potential for IoT applications.

关键词： Wide area networks Uncertainty Urban areas software algorithms Manuals Time measurement Internet of Things

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Usage of E-Technologies for Development Financial and Economic Potential of United Territorial Communities

Usage of E-Technologies for Development Financial and Econom...

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International Scientific-Practical Conference Problems of Infocommunications Science and Technology

作者： Serhii Hlibko Nataliya Vnukova Daria Davydenko Podrez-Riapolova Scientific and Research Institute of Providing Legal Framework for the Innovative Development National Academy of Legal Sciences of Ukraine Kharkiv Ukraine Simon Kuznets Kharkiv National University of Economics Scientific and Research Institute of Providing Legal Framework for the Innovative Development National Academy of Legal Sciences of Ukraine Kharkiv Ukraine National Scientific Center «Hon. Prof. M. S. Bokarius Forensic Science Institute» Kharkiv Ukraine

ISBN: (纸本)9781665406833

The current directions of development of financial and economic potential on the example of united territorial communities of one region through the introduction of electronic technologies to select a promising area of development and create favorable conditions for modern business communications. The criteria for this selection are proposed and an expert evaluation is conducted to obtain the results of the study in Decision Making Helper©. The priority of small business in the financial and economic development of the region has been established on the example of four united territorial communities. The problems of small business development are identified and the introduction of the newest approaches to the organization of activity of united territorial communities in the system of infocommunication «community-business-power» with establishment of their priority is offered. Relevant recommendations for the application of algorithms for the development of small business to determine the priority area in various fields, which allowed to form the author's vision of solving problems based on the software used to acquire new competencies by potential users.

关键词： Economics Business communication Electric potential Decision making software algorithms Data visualization Organizations

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Optimization of the gear ratios for a vehicle manual transmission

Optimization of the gear ratios for a vehicle manual transmi...

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Green Buildings (ATiGB), Applying New Technology in

作者： Pham Quoc Thai Huynh Duc Tri Nguyen Thi Hai Van Faculty of Transportation Mechanical Engineering University of Science and Technology The University of Danang Danang Vietnam Faculty of Industrial Education University of Technology and Education The University of Danang Danang Vietnam

ISBN: (纸本)9781728186580;9781728186597

This study aims to optimize gear ratios for the manual transmission of a conventional vehicle to enhance fuel efficiency and reduce emissions. Using Simulink-Matlab software, Simplex method, and algorithmic functions to analyze and calculate a conventional vehicle's fuel consumption in the standardized driving cycles, solving the optimization problem, checking and comparing with other initial parameters and termination criterion.

关键词： Gears Green buildings software algorithms Optimized production technology Manuals software Combustion

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Assessment of PV String Optimizer Circuit Versus String and Central Inverters During Partial Shading Conditions

Assessment of PV String Optimizer Circuit Versus String and ...

引用

International Middle-East Power System Conference, MEPCON

作者： Marwa Abdelkareem Yagoub Ahmed Abbas Elserougi Tamer Helmy Abdelhamid Alexandria University Egypt

ISBN: (纸本)9781665419994

Partial Shading (PS) of PV strings has become an issue of great importance as it causes a significant reduction of the generated PV power. There are numerous techniques that have been developed to mitigate the PS effects such as string inverter configuration and micro-inverter configuration beside maximum power point tracking (MPPT) methods, but most of these techniques are costly or complex. So, there is a demand for a cost-effective and reliable technique to overcome some of the inherent limitations of these techniques. String Optimizer Circuit (SOC) approach along with Global MPPT (GMPPT) the algorithm can be used with one central inverter to enhance the extracted PV power during PS conditions. The SOC approach provides approximately the same power level that extracted from the string inverter approach but with a lower number of semiconductor devices which has a positive effect on the system cost. In this paper, an assessment study is presented to show the effectiveness and the advantages of the SOC-based PV system over the conventional central and string inverter-based systems. MATLAB/SIMULINK software package is used for the assessment. The simulation results are presented to show the effectiveness of the SOC along with the GMMPT algorithm in enhancing the extracted PV power.

关键词： Maximum power point trackers software packages Simulation Semiconductor devices software algorithms Process control Switches

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Design and Implementation of High-performance Web Vulnerability Scanner Based on Python Intelligent Crawler

Design and Implementation of High-performance Web Vulnerabil...

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Computer Information Science and Artificial Intelligence (CISAI), International Conference on

作者： Jianxun Tang Fang Zhou College of Ocean Engineering Guilin University of Electronic Technology Guilin Computer and Information Engineering College Wuhan University of Bioengineering Wuhan

ISBN: (纸本)9781665406932

With the rapid development of the Internet, Web security issues have become more and more prominent. A series of problems exist on Web vulnerability scanners in the market such as insufficient scanning accuracy, large software, low scalability and so on. Therefore,this article written on the basis of crawler technology, Web vulnerability and its detection technology improved optimization algorithm, based on the CMS recognition, port, plug-in technology as the guide, to realize accurate, non-response rates in vulnerability scanning flat cases vulnerability scanning growth above 10%, and can real-time update by the development of vulnerability of high-performance Web vulnerability scanner, help enterprises to avoid vulnerability risk to a large extent.

关键词： Uniform resource locators Scalability Crawlers software algorithms Information filters software Real-time systems

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A Methodology for Optimizing the Objective Function in a High-dimensional Space Using the Swarm Intelligence Algorithm

A Methodology for Optimizing the Objective Function in a Hig...

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Systems of Signals Generating and Processing in the Field of on Board Communications

作者： A. N. Yakubovich Yu. V. Trofimenko E. V. Shashina I. A. Yakubovich Moscow Automobile and Road Construction State Technical University (MADI) Moscow Russia

A formal definition of the particle swarm method and the software algorithm based on it is given. The influence of the algorithm parameters on the global minimum search efficiency is studied using the example of a multiparameter function. The best parameters that allow achieving an average error from 0.05 % for a two-parameter function to 0.13 % for a function with 5 parameters are determined. It is found that increasing the swarm size and applying an increased number of iterations in a single numerical calculation are not the most effective means of increasing accuracy. It is shown that several sequential independent calculations, from the results of which the best one is selected, make the most sense. In this case, the required error of up to 1 % was guaranteed to be achieved by using 3 sequential calculations with a swarm size of 15 particles and 500 iterations on each calculation. High-precision calculations with an error of no more than 0.1 % required 10 sequential calculations with a swarm size of 30 particles and 1000 iterations in the calculation, the total amount of computational work was 0.3 million conditional iterations. When using a single calculation, an error of 0.13 % was achieved when performing at least 1.25 million conditional iterations.

关键词： Navigation software algorithms Linear programming software Particle swarm optimization

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