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Статті в журналах з теми "Mathematical data- Security"
Nurhidayati, Rika, and Salauddin Muis. "Analysis Of Voice Data Security Security By Using The Rc4 Algorithm." Jurnal Info Sains : Informatika dan Sains 11, no. 2 (September 1, 2021): 22–28. http://dx.doi.org/10.54209/infosains.v11i2.44.
Повний текст джерелаErkayev, Husan Ahmadaliyevich. "MATHEMATICAL MODEL OF CRYPTOGRAPHICAL HISTORICAL CODE ALGORITHMS TO DATA SECURITY." Theoretical & Applied Science 89, no. 09 (September 30, 2020): 30–33. http://dx.doi.org/10.15863/tas.2020.09.89.8.
Повний текст джерелаSaksonov, E. A. "Method of Depersonalization of Personal Data." INFORMACIONNYE TEHNOLOGII 27, no. 6 (June 9, 2021): 314–21. http://dx.doi.org/10.17587/it.27.314-321.
Повний текст джерелаHub, Miloslav, and Agnès Kateřina Příhodová. "Impact of Globalisation on Data Security – Authentication Issues." SHS Web of Conferences 92 (2021): 05009. http://dx.doi.org/10.1051/shsconf/20219205009.
Повний текст джерелаHorubała, Aleksandra, Daniel Waszkiewicz, Michał Andrzejczak, and Piotr Sapiecha. "Data confidentiality and computations hiding in cloud services for public administration." Computer Science and Mathematical Modelling, no. 7/2018 (July 18, 2018): 11–18. http://dx.doi.org/10.5604/01.3001.0012.2001.
Повний текст джерелаBolshakov, A. S., A. I. Zhila, and A. V. Osin. "FUZZY LOGIC DATA PROTECTION MANAGEMENT." H&ES Research 13, no. 4 (2021): 37–47. http://dx.doi.org/10.36724/2409-5419-2021-13-4-37-47.
Повний текст джерелаHenge, Santosh Kumar, Gitanjali Jayaraman, M. Sreedevi, R. Rajakumar, Mamoon Rashid, Sultan S. Alshamrani, Mrim M. Alnfiai, and Ahmed Saeed AlGhamdi. "Secure keys data distribution based user-storage-transit server authentication process model using mathematical post-quantum cryptography methodology." Networks and Heterogeneous Media 18, no. 3 (2023): 1313–34. http://dx.doi.org/10.3934/nhm.2023057.
Повний текст джерелаRaj, A. Samson Arun, R. Venkatesan, S. Malathi, V. D. Ambeth Kumar, E. Thenmozhi, Anbarasu Dhandapani, M. Ashok Kumar, and B. Chitra. "A Mathematical Queuing Model Analysis Using Secure Data Authentication Framework for Modern Healthcare Applications." Journal of Sensors 2022 (September 16, 2022): 1–15. http://dx.doi.org/10.1155/2022/8397635.
Повний текст джерелаLiu, Yutang, and Qin Zhang. "Mathematical Modeling of Static Data Attribute Encryption Based on Big Data Technology." Journal of Function Spaces 2022 (August 2, 2022): 1–10. http://dx.doi.org/10.1155/2022/4292063.
Повний текст джерелаBoychenko, O. V., and D. V. Ivanyuta. "INFORMATION SECURITY MODELS." Construction economic and environmental management 80, no. 3 (2022): 33–39. http://dx.doi.org/10.37279/2519-4453-2021-3-33-39.
Повний текст джерелаДисертації з теми "Mathematical data- Security"
Ma, Chunyan. "Mathematical security models for multi-agent distributed systems." CSUSB ScholarWorks, 2004. https://scholarworks.lib.csusb.edu/etd-project/2568.
Повний текст джерелаAtoui, Ibrahim Abdelhalim. "Data reduction techniques for wireless sensor networks using mathematical models." Thesis, Bourgogne Franche-Comté, 2018. http://www.theses.fr/2018UBFCD009.
Повний текст джерелаIn this thesis, we present energy-efficient data reduction and security techniques dedicated for wireless sensor networks. First, we propose a data aggregation model based on the similarity function that helps in removing the redundant data. In addition, based on the fitting functions we worked on sending less data features, accompanied with the fitting function that expresses all features. Second, we focus on heterogeneity of the data while studying the correlation among these multivariate features in order to enhance the data prediction technique that is based on the polynomial function, all after removing the similar measures in the aggregation phase using the Euclidean distance. Finally, we provide a rigorous security framework inherited from cryptography satisfies the level of exigence usually attained in tree-based WSNs. It prevents attackers from gaining any information about sensed data, by ensuring an end-to-end privacy between sensor nodes and the sink. In order to validate our proposed techniques, we implemented the simulations of the first technique on real readings collected from a small Sensor Scope network which is deployed at the Grand-St-Bernard, while the simulations of the second and the third techniques are conducted on real data collected from 54 sensors deployed in the Intel Berkeley Research Lab. The performance of our techniques is evaluated according to data reduction rate, energy consumption, data accuracy and time complexity
Sathisan, Shashi Kumar. "Encapsulation of large scale policy assisting computer models." Thesis, Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/101261.
Повний текст джерелаM.S.
Alkadi, Alaa. "Anomaly Detection in RFID Networks." UNF Digital Commons, 2017. https://digitalcommons.unf.edu/etd/768.
Повний текст джерелаLi, Jianzhou, and University of Lethbridge Faculty of Arts and Science. "Design of a novel hybrid cryptographic processor." Thesis, Lethbridge, Alta. : University of Lethbridge, Faculty of Arts and Science, 2005, 2005. http://hdl.handle.net/10133/266.
Повний текст джерелаviii, 87 leaves : ill. (some col.) ; 28 cm.
Li, Ling Feng. "An image encryption system based on two-dimensional quantum random walks." Thesis, University of Macau, 2018. http://umaclib3.umac.mo/record=b3950660.
Повний текст джерелаTerashima, Robert Seth. "Tweakable Ciphers: Constructions and Applications." PDXScholar, 2015. https://pdxscholar.library.pdx.edu/open_access_etds/2484.
Повний текст джерелаHaraldsson, Emil. "Strong user authentication mechanisms." Thesis, Linköping University, Department of Electrical Engineering, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2688.
Повний текст джерелаFor Siemens Industrial Turbomachinery to meet its business objectives a modular authentication concept has to be implemented. Such a mechanism must be cost- effective while providing a well-balanced level of security, easy maintenance and be as user-friendly as possible.
Authenticating users securely involves the combination of two fields, theory of authentication mechanisms in information systems and human computer interaction. To construct a strong user authentication system the correlations of these fields has to be understood and provide guidance in the design.
Strong user authentication mechanisms enforce the use of two-factor authentication or more. The combinations implemented rely on knowledge, possession and sometimes logical-location.
A user authentication system has been implemented using leading industrial products as building blocks glued together with security analysis, programming and usability research.
The thesis is divided into two parts, the first part giving the theoretical background of cryptography, authentication theory and protocols needed for the understanding of the second part, providing security analysis, blueprints, and detailed discussions on the implemented system.
Conclusions have been drawn regarding the implemented system and its context as well as from strict theoretical reasoning regarding the authentication field in general. Conclusions include:
· The unsuitability of remote authentication using biometrics
· The critical importance of client security in remote authentication
· The importance of a modular structure for the security of complex network-based systems
Huang, Jian. "FPGA Implementations of Elliptic Curve Cryptography and Tate Pairing over Binary Field." Thesis, University of North Texas, 2007. https://digital.library.unt.edu/ark:/67531/metadc3963/.
Повний текст джерелаFriot, Nicolas. "Itérations chaotiques pour la sécurité de l'information dissimulée." Thesis, Besançon, 2014. http://www.theses.fr/2014BESA2035/document.
Повний текст джерелаDiscrete dynamical systems by chaotic or asynchronous iterations have proved to be highly interesting toolsin the field of computer security, thanks to their unpredictible behavior obtained under some conditions. Moreprecisely, these chaotic iterations possess the property of topological chaos and can be programmed in anefficient way. In the state of the art, they have turned out to be really interesting to use notably through digitalwatermarking schemes. However, despite their multiple advantages, these existing algorithms have revealedsome limitations. So, these PhD thesis aims at removing these constraints, proposing new processes whichcan be applied both in the field of digital watermarking and of steganography. We have studied these newschemes on two aspects: the topological security and the security based on a probabilistic approach. Theanalysis of their respective security level has allowed to achieve a comparison with the other existing processessuch as, for example, the spread spectrum. Application tests have also been conducted to steganalyse and toevaluate the robustness of the algorithms studied in this PhD thesis. Thanks to the obtained results, it has beenpossible to determine the best adequation of each processes with targeted application fields as, for example,the anonymity on the Internet, the contribution to the development of the semantic web, or their use for theprotection of digital documents. In parallel to these scientific research works, several valorization perspectiveshave been proposed, aiming at creating a company of innovative technology
Книги з теми "Mathematical data- Security"
Kopczuk, Wojciech. Uncovering the American dream: Inequality and mobility in social security earnings data since 1937. Cambridge, Mass: National Bureau of Economic Research, 2007.
Знайти повний текст джерелаKopczuk, Wojciech. Uncovering the american dream: Inequality and mobility in social security earnings data since 1937. Cambridge, MA: National Bureau of Economic Research, 2007.
Знайти повний текст джерелаÖzyer, Tansel. Mining Social Networks and Security Informatics. Dordrecht: Springer Netherlands, 2013.
Знайти повний текст джерелаBrand, Ruth. Anonymität von Betriebsdaten: Verfahren zur Erfassung und Massnahmen zur Verringerung des Reidentifikationsrisikos. Nürnberg: Institut für Arbeitsmarkt- und Berufsforschung der Bundesanstalt für Arbeit, 2000.
Знайти повний текст джерелаIgor, Kotenko, and Skormin Victor A. 1946-, eds. Computer network security: 6th international conference on mathematical methods, models and architectures for computer network security, MMM-ACNS 2012, St. Petersburg, Russia, October 17-19, 2012 : proceedings. Heidelberg: Springer, 2012.
Знайти повний текст джерелаDiergardt, Martin. Modeling scenarios for analyzing the risks of complex computer based information systems. Berlin: dissertation.de, 2007.
Знайти повний текст джерелаKott, Alexander. Estimating Impact: A Handbook of Computational Methods and Models for Anticipating Economic, Social, Political and Security Effects in International Interventions. Boston, MA: Springer Science+Business Media, LLC, 2010.
Знайти повний текст джерелаTorra, Vicenç. Modeling Decisions for Artificial Intelligence: 9th International Conference, MDAI 2012, Girona, Catalonia, Spain, November 21-23, 2012. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.
Знайти повний текст джерелаAggarwal, Charu C. Outlier Analysis. New York, NY: Springer New York, 2013.
Знайти повний текст джерелаAmy, Felty, and SpringerLink (Online service), eds. Interactive Theorem Proving: Third International Conference, ITP 2012, Princeton, NJ, USA, August 13-15, 2012. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.
Знайти повний текст джерелаЧастини книг з теми "Mathematical data- Security"
Tiwari, Shiv Kumar, Deepak Singh Rajput, Saurabh Sharma, Subhrendu Guha Neogi, and Ashish Mishra. "Cloud Virtual Image Security for Medical Data Processing." In Mathematical Modeling and Soft Computing in Epidemiology, 317–45. First edition. | Boca Raton, FL : CRC Press, 2021. |: CRC Press, 2020. http://dx.doi.org/10.1201/9781003038399-17.
Повний текст джерелаKelley, Patrick Gage, Saranga Komanduri, Michelle L. Mazurek, Richard Shay, Timothy Vidas, Lujo Bauer, Nicolas Christin, and Lorrie Faith Cranor. "The Impact of Length and Mathematical Operators on the Usability and Security of System-Assigned One-Time PINs." In Financial Cryptography and Data Security, 34–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41320-9_3.
Повний текст джерелаNorem, Savannah, Ashley E. Rice, Samantha Erwin, Robert A. Bridges, Sean Oesch, and Brian Weber. "A Mathematical Framework for Evaluation of SOAR Tools with Limited Survey Data." In Computer Security. ESORICS 2021 International Workshops, 557–75. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95484-0_32.
Повний текст джерелаArki, Oussama, and Abdelhafid Zitouni. "A Security Framework for Cloud Data Storage(CDS) Based on Agent." In Applied Computational Intelligence and Mathematical Methods, 62–73. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67621-0_6.
Повний текст джерелаRajput, Deepak Singh, Saurabh Sharma, Shiv Kumar Tiwari, A. K. Upadhyay, and Ashish Mishra. "Medical Data Security Using Blockchain and Machine Learning in Cloud Computing." In Mathematical Modeling and Soft Computing in Epidemiology, 347–74. First edition. | Boca Raton, FL : CRC Press, 2021. |: CRC Press, 2020. http://dx.doi.org/10.1201/9781003038399-18.
Повний текст джерелаGanguli, Runa, Priyanka Banerjee, Sanjib Halder, and Soumya Sen. "A Mathematical Recommendation Model to Rank Reviewers Based on Weighted Score for Online Review System." In Emerging Technologies in Data Mining and Information Security, 317–25. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9774-9_31.
Повний текст джерелаMa, Xiaoxiao. "Fitting Approximation Algorithm for Applied Mathematical Model." In The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy, 443–48. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-89511-2_57.
Повний текст джерелаHan, Bingbing, and Zaixing Su. "Mathematical Model of Network Center Data Hierarchical Encryption Based on Decentralization." In The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy, 1010–17. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-89508-2_131.
Повний текст джерелаHao, Peng. "Research on Mathematical Modeling Optimization of Recognition Algorithm Based on Multi Feature Extraction." In The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy, 214–19. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-89511-2_26.
Повний текст джерелаKostyuchenko, Yuriy V., Maxim Yuschenko, and Ivan Kopachevsky. "Stochastic Approaches to Analysis and Modeling of Multi-Sources and Big Data in Tasks of Homeland Security: Socio-Economic and Socio-Ecological Crisis Control Tools." In Advanced Mathematical Techniques in Science and Engineering, 57–99. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003337034-3.
Повний текст джерелаТези доповідей конференцій з теми "Mathematical data- Security"
Kuznetsova, Nataliya M., Tatyana V. Karlova, Alexander Y. Bekmeshov, Elena A. Kirillova, Marianna V. Mikhaylova, and Andrey V. Averchenkov. "Mathematical and Algorithmic Prevention of Biometric Data Leaks." In 2021 International Conference on Quality Management, Transport and Information Security, Information Technologies (IT&QM&IS). IEEE, 2021. http://dx.doi.org/10.1109/itqmis53292.2021.9642819.
Повний текст джерелаJaenisch, Holger M., James W. Handley, and Michael L. Hicklen. "Data model predictive control as a new mathematical framework for simulation and VV&A." In Defense and Security Symposium, edited by Kevin L. Priddy and Emre Ertin. SPIE, 2006. http://dx.doi.org/10.1117/12.666466.
Повний текст джерелаJaenisch, Holger M., James W. Handley, Jeffery P. Faucheux, and Kenneth Lamkin. "A novel application of data modeling for extracting mathematical ontologies and relationship matrix features from text documents." In Defense and Security, edited by Dawn A. Trevisani and Alex F. Sisti. SPIE, 2005. http://dx.doi.org/10.1117/12.626666.
Повний текст джерелаLaine, Trevor I., and Kenneth W. Bauer, Jr. "A mathematical framework for the optimization of rejection and ROC thresholds in the fusion of correlated sensor data." In Defense and Security, edited by Belur V. Dasarathy. SPIE, 2004. http://dx.doi.org/10.1117/12.542331.
Повний текст джерелаBansal, Malti, Varun Sirpal, Tanmaya Jain, Ujjwal, and Uma Nangia. "Enhancing medical data security using tiny encryption algorithm and least significant bit steganography." In CONFERENCE ON MATHEMATICAL SCIENCES AND APPLICATIONS IN ENGINEERING: CMSAE-2021. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0149166.
Повний текст джерелаDinicu, Anca, and Romana Oancea. "PREDICTABILITY POSSIBILITIES BASED ON MATHEMATICAL MODELS OF CONFLICT SITUATIONS." In eLSE 2014. Editura Universitatii Nationale de Aparare "Carol I", 2014. http://dx.doi.org/10.12753/2066-026x-14-073.
Повний текст джерелаRamalingam, Hariharan, and V. Prasanna Venkatesan. "Introspection of Availability in Service Based Smart Systems Using Internet of Things (IoT)." In International Research Conference on IOT, Cloud and Data Science. Switzerland: Trans Tech Publications Ltd, 2023. http://dx.doi.org/10.4028/p-3bj8t2.
Повний текст джерелаDjurupova, Bermet, Jusup Pirimbaev, and Gulmira Samatova. "Nutrition Problems in the Kyrgyz Republic and the Ways of Their Solution." In International Conference on Eurasian Economies. Eurasian Economists Association, 2019. http://dx.doi.org/10.36880/c11.02244.
Повний текст джерелаPandey, Kartikey, and Deepmala Sharma. "Advances in data security through elliptical curve cryptography." In RECENT TRENDS IN APPLIED MATHEMATICS IN SCIENCE AND ENGINEERING. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0145107.
Повний текст джерелаSherin, D. A. Angel, V. Maheswari, and V. Balaji. "Securing data using injective labeling on acyclic graphs." In 2ND INTERNATIONAL CONFERENCE ON MATHEMATICAL TECHNIQUES AND APPLICATIONS: ICMTA2021. AIP Publishing, 2022. http://dx.doi.org/10.1063/5.0108507.
Повний текст джерелаЗвіти організацій з теми "Mathematical data- Security"
Semerikov, Serhiy, Illia Teplytskyi, Yuliia Yechkalo, Oksana Markova, Vladimir Soloviev, and Arnold Kiv. Computer Simulation of Neural Networks Using Spreadsheets: Dr. Anderson, Welcome Back. [б. в.], June 2019. http://dx.doi.org/10.31812/123456789/3178.
Повний текст джерелаData Encryption Standard. Gaithersburg, MD: National Institute of Standards and Technology, 1988. http://dx.doi.org/10.6028/nist.fips.46-1.
Повний текст джерела