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AI in Cybersecurity (ICAIC), International Conference on

作者： Milavkumar Shah Parth Shah Swapnil Patil University of Texas at Dallas Texas USA University of Colorado Colorado Springs USA

ISBN: (数字)9798331518882

ISBN: (纸本)9798331518899

Credit card fraud has grown increasingly common in today’s age, and with the rise in cybercrimes with fraud, several examples have been recorded in the past. The use of a distributed search plays a pivotal role in enhancing the performance of fraud detection systems. By enabling the aggregation and retrieval of data from multiple decentralized sources without compromising data privacy, it facilitates the efficient training of models on large, diverse datasets. Another technique used in controlling fraud losses is through applying Federated Learning (FL) for detecting fraudulent transactions. The models may gain the benefit of the dispersed data without actually sharing the data in this way. This paper focuses on the implementation of CNN with FL to improve a security and accuracy of fraud detection in financial transactions. The suggested model employs Kaggle credit card fraud dataset and uses enhanced techniques such as; SMOTE to work on class imbalance problem and one hot encoder to work on Categorical features. The proposed CNN-FL model surpassed other classifiers and yielded better accuracy, precision, and recall rates compared to traditional ML classifiers like NB, LR, and Gaussian Naive Bayes; accuracy $\mathbf{9 9. 8 6\%}$, precision 99.83%, recal 199.85%, and an F1-score of $\mathbf{9 9. 84\%}$. Thus, effectiveness of suggested CNN-based federated learning approach for enriching fraud detection systems is shown, with good generalisation and high accuracy on various types of transactions.

关键词： Training Data privacy Accuracy Federated learning distributed databases Credit cards Data models Fraud Bayes methods Computer crime

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An automated implementation of hybrid cloud for performance evaluation of distributed databases

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JOURNAL OF NETWORK AND COMPUTER APPLICATIONS 2020年 167卷

作者： Mansouri, Yaser Prokhorenko, Victor Babar, M. Ali Univ Adelaide Ctr Res Engn Software Technol CREST Lab Sch Comp Sci Adelaide SA Australia

A Hybrid cloud is an integration of resources between private and public clouds. It enables users to horizontally scale their on-premises infrastructure up to public clouds in order to improve performance and cut up-front investment cost. This model of applications deployment is called cloud bursting that allows data-intensive applications especially distributed database systems to have the benefit of both private and public clouds. In this work, we present an automated implementation of a hybrid cloud using (i) a robust and zero-cost Linux-based VPN to make a secure connection between private and public clouds, and (ii) Terraform as a software tool to deploy infrastructure resources based on the requirements of hybrid cloud. We also explore performance evaluation of cloud bursting for six modern and distributed database systems on the hybrid cloud spanning over local OpenStack and Microsoft Azure. Our results reveal that MongoDB and MySQL Cluster work efficient in terms of throughput and operations latency if they burst into a public cloud to supply their resources. In contrast, the performance of Cassandra, Riak, Redis, and Couchdb reduces if they significantly leverage their required resources via cloud bursting.

关键词： Hybrid cloud Cloud bursting distributed databases WireGuard VPN Throughput Read and write latency

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Web platform for learning distributed databases' queries processing 7

Web platform for learning distributed databases' queries pro...

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7th International Conference on Information Technology and Quantitative Management (ITQM) - Information Technology and Quantitative Management Based on Artificial Intelligence

作者： Herce-Zelaya, Julio Porcel, Carlos Bernabe-Moreno, Juan Tejeda-Lorente, Alvaro Herrera-Viedma, Enrique Univ Granada Dept Comp Sci & Artificial Intelligence Granada Spain Univ Jaen Dept Comp Sci Jaen Spain

A distributed database is a collection of data stored in different locations of a distributed system. The processing of queries in distributed databases is quite complex but of great importance for information management. Students who have to learn that process have serious difficulties for understanding them. On this work we present a web platform for helping the students learning the processing and optimization of queries in distributed databases. The novelty of this platform is that as far as we know, there is no similar graphical tool. It allows to visualize step by step the different phases of distributed query processing, showing how are they forming, making it easier for the students to understand these concepts. Moreover, having this web platform available, always and everywhere, indirectly have an impact on other competences like encouraging students' autonomous work and self-learning, adapting the teaching to its one-time necessities and reinforcing the advantages to apply information techniques in the teaching field. The results of the developed tests to validate the platform's functionalities and student's satisfaction were very positive. (C) 2020 The Authors. Published by Elsevier B.V.

关键词： Learning platform distributed databases distributed queries processing

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Trusted Transport Telemetry by Using distributed databases

Trusted Transport Telemetry by Using Distributed Databases

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IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus)

作者： Shipunov, Ilya S. Voevodskiy, Konstantin S. Nyrkov, Anatoliy P. Katorin, Yuri F. Gatchin, Yuri A. Admiral Makarov State Univ Maritime & Inland Ship Chair Complex Provis Informat Secur St Petersburg Russia St Petersburg Natl Res Univ Informat Technol Mech Fac Informat Technol Secur St Petersburg Russia

ISBN: (纸本)9781728103396

There are several companies that provide their own hardware and software solutions for the collection and storage of telemetry data from transport. However, how to be sure that the system stores the correct data? There is always the possibility of bribery of employees of the Operator of the telemetry data. In this matter, the use of distributed databases is a reliable solution. Telemetry data from devices immediately gets into the database and can no longer be changed. When using a private distributed databases within the data Operator company, the possibility of various manipulations with the data is still preserved. To solve this problem, it is proposed to use the public distributed database Emercoin, one of the functional features of which is the NVS (Name Value Storage), - the ability to write to the database NVS-records of arbitrary content up to 20KB.

关键词： land logistic telemetry logging hardware distributed databases Emercoin public system insurance

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Verifiable Decentralized Access Control for distributed databases

Verifiable Decentralized Access Control for Distributed Data...

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International Conference on Cyber-Enabled distributed Computing and Knowledge Discovery, CyberC

作者： Xiaowen Feng Pengcheng Deng Yanzi Yi Qi Yu Decun Luo Hua Deng Yujue Wang State Grid Information & Communication Company of Hunan Changsha China Hunan Xingtong Electric Information Communication Limited Company Changsha China School of Computer and Information Security Guilin University of Electronic Technology Guilin China College of Computer Science and Electronic Engineering Hunan University Changsha China

ISBN: (数字)9781728184487

ISBN: (纸本)9781728184494

Ahstract- The traditional centralized database management mode brings security and privacy issues to user data. In this paper, we propose a verifiable distributed database access control (VDAC) scheme based on the ciphertext policy attribute-based encryption (CP-ABE) and decentralized ledger technology (DLT). In the VDAC scheme, CP-ABE is used to achieve fine-grained access authorization control on user data, and DLT is employed to publish authorization parameters and guarantee their immutability. Particularly, the decentralized authorization mechanism for distributed database is realized by using Hyperledger fabric platform. Comparison analysis shows that the VDAC scheme not only provides verifiable database access control, but also protects user privacy and system security. Experimental results demonstrate the efficiency and practicality of the VDAC scheme.

关键词： Authorization Data privacy distributed ledger distributed databases Knowledge discovery Fabrics Encryption

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Towards Practical Self-Healing distributed databases

Towards Practical Self-Healing Distributed Databases

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Infrastructure Conference, IEEE

作者： Joseph Lynch Dinesh Ashok Joshi Cloud Data Engineering Netflix Inc. Los Gatos USA Apache Cassandra Apache Software Foundation San Jose USA

ISBN: (数字)9781728177281

ISBN: (纸本)9781728177298

As distributed databases expand in popularity, there is ever-growing research into new database architectures that are designed from the start with built-in self-tuning and self-healing features. In real world deployments, however, migration to these entirely new systems is impractical and the challenge is to keep massive fleets of existing databases available under constant software and hardware change. Apache Cassandra is one such existing database that helped to popularize "scale-out" distributed databases and it runs some of the largest existing deployments of any open-source distributed *** this paper, we demonstrate the techniques needed to transform the typical, highly manual, Apache Cassandra deployment into a self-healing system. We start by composing specialized agents together to surface the needed signals for a self-healing deployment and to execute local actions. Then we show how to combine the signals from the agents into the cluster level control-planes required to safely iterate and evolve existing deployments without compromising database availability. Finally, we show how to create simulated models of the database's behavior, allowing rapid iteration with minimal risk. With these systems in place, it is possible to create a truly self-healing database system within existing large-scale Apache Cassandra deployments.

关键词： Conferences distributed databases Transforms Manuals Hardware Database systems Open source software

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Performance comparison of distributed in memory databases in dynamic fog environments

Performance comparison of distributed in memory databases in...

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

作者： George Vlahavas Anna-Valentini Michailidou Theodoros Toliopoulos Vasileios G. Psomiadis Anastasios Gounaris Athena Vakali School of Informatics Aristotle University of Thessaloniki Thessaloniki Greece

Fog computing is an extension of cloud computing to overcome limitations of the latter. It brings data processing and storage closer to edge devices, while offering higher processing power and storage space compared to the edge. In edge or fog environments, data is often ephemeral, so storing data in memory provides considerable performance benefits. Edge or fog nodes may also fail or disconnect, so distributed database systems are used in order to provide durability and availability. Database performance is an important factor when designing a fog platform. We assess the performance of two distributed, in memory databases, Apache Ignite and Redis, measured as throughput, with respect to different parameters: number of nodes, number of replicas, persistency, network bandwidth, network latency and number of operations. In all cases, Redis outperforms Apache Ignite, however, Apache Ignite scales very well when the number of operations is increased.

关键词： Performance evaluation Degradation Cloud computing distributed databases Bandwidth Benchmark testing Throughput

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A Performance Study of Epoch-based Commit Protocols in distributed OLTP databases

A Performance Study of Epoch-based Commit Protocols in Distr...

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Reliable distributed Systems

作者： Jack Waudby Paul Ezhilchelvan Isi Mitrani Jim Webber Newcastle University Neo4j

ISBN: (数字)9781665497534

ISBN: (纸本)9781665497541

distributed OLTP systems execute the high-overhead, two-phase commit (2PC) protocol at the end of every distributed transaction. Epoch-based commit proposes that 2PC be executed only once for all transactions processed within a time interval called an epoch. Increasing epoch duration allows more transactions to be processed before the common 2PC. It thus reduces 2PC overhead per transaction, increases throughput but also increases average transaction latency. Therefore, required is the ability to choose the right epoch size that offers the desired trade-off between throughput and latency. To this end, we develop two analytical models to estimate throughput and average latency in terms of epoch size taking into account load and failure conditions. Simulations affirm their accuracy and effectiveness. We then present epoch-based multi-commit which, unlike epoch-based commit, seeks to avoid all transactions being aborted when failures occur, and also performs identically when failures do not occur. Our performance study identifies workload factors that make it more effective in preventing transaction aborts and concludes that the analytical models can be equally useful in predicting its performance as well.

关键词： Analytical models Protocols distributed databases Throughput Time factors Reliability Load modeling

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Web platform for learning distributed databases’ queries processing

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Procedia Computer Science 2019年 162卷 827-834页

作者： Julio Herce-Zelaya Carlos Porcel Juan Bernabé-Moreno Álvaro Tejeda-Lorente Enrique Herrera-Viedma University of Granada Department of Computer Science and Artificial Intelligence Granada Spain University of Jaén Department of Computer Science Jaén Spain

A distributed database is a collection of data stored in different locations of a distributed system. The processing of queries in distributed databases is quite complex but of great importance for information management. Students who have to learn that process have serious difficulties for understanding them. On this work we present a web platform for helping the students learning the processing and optimization of queries in distributed databases. The novelty of this platform is that as far as we know, there is no similar graphical tool. It allows to visualize step by step the different phases of distributed query processing, showing how are they forming, making it easier for the students to understand these concepts. Moreover, having this web platform available, always and everywhere, indirectly have an impact on other competences like encouraging students’ autonomous work and self-learning, adapting the teaching to its one-time necessities and reinforcing the advantages to apply information techniques in the teaching field. The results of the developed tests to validate the platform's functionalities and student's satisfaction were very positive.

关键词： Learning platform distributed databases distributed queries processing

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A multistage protocol for aggregated queries in distributed cloud databases with privacy protection

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FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE 2019年 90卷 368-380页

作者： Kelarev, Andrei Yi, Xun Badsha, Shahriar Yang, Xuechao Rylands, Leanne Seberry, Jennifer RMIT Univ Sch Sci GPO Box 2476 Melbourne Vic 3001 Australia Western Sydney Univ Sch Comp Engn & Math Locked Bay 1797 Penrith NSW 2751 Australia Univ Wollongong Sch Comp & Informat Technol Northfields Ave Wollongong NSW 2522 Australia

This article is devoted to the novel situation, where a large distributed cloud database is a union of several separate databases belonging to individual database owners who are not allowed to transfer their data for storage in locations different from their already chosen separate cloud service providers. For example, a very large number of medical records may be stored in a distributed cloud database, which is a union of several separate databases from different hospitals, or even from different countries. The owners of the databases may need to provide answers to certain common aggregated queries using all information available without sharing or transferring all data. It is necessary to minimize the communication costs, improve efficiency, and comply with the legal requirements protecting the privacy of confidential data. In this situation, it is impossible to aggregate the whole database in one location, but effective methods for answers to the aggregated queries with privacy protection are required. To solve this important problem, the present article proposes a Multistage Separate Query Processing (MSQP) protocol employing homomorphic encryption with split keys. We show that our protocol can answer a large class of natural queries of practical significance. The running time of the MSQP protocol is O(d + m/d), where d is the number of database owners and m is the total number of records in the whole database. In practice, d is small, m can be very large, and so the running time is 0(m). This means that the protocol is very efficient for large databases. It dramatically reduces the communication costs of computation and completely eliminates the need for exchange of confidential data. We define a new generalized additive homomorphic property and introduce a Multipart ElGamal Cryptosystem (MEC) with split keys, which enjoys this property. MEC is a novel modification of the ElGamal cryptosystem with split keys. This paper presents the results of extensive experim

关键词： Cloud services Privacy protection distributed databases Generalized homomorphic property Split keys Multipart elGamal cryptosystem

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