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An Intelligent Early Warning Support System for Financial Crisis based on Fully Homomorphic Encryption Algorithm

An Intelligent Early Warning Support System for Financial Cr...

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distributed systems, computer networks and Cybersecurity (ICDSCNC), international conference on

作者： Fanling Kong College of Finance and Economics Guangdong University of Science &Technology Dongguan China

ISBN: (数字)9798350375442

ISBN: (纸本)9798350375459

The financial crisis has an important impact on social and economic development, and the existing economic management methods cannot achieve massive data analysis, so on this basis This paper proposes an intelligent early warning support system for financial crisis based on fully homomorphic encryption algorithm to solve the problems of data privacy and security in the traditional early warning system. In this paper, the appropriate CKKS fully homomorphic encryption algorithm is used to implement encryption, decryption and homomorphic operations. The results show that the fully homomorphic encryption algorithm can be simplified, with a simplification rate of 10%, and polynomial adjustment can be realized, which can improve the early warning efficiency of financial crisis to 90%, which is better than the traditional method. Therefore, the financial crisis intelligent early warning system established in this paper can be used and promoted in an efficient and comprehensive manner.

关键词： Economics Data privacy Accuracy Data analysis distributed databases Alarm systems Parallel processing Polynomials Homomorphic encryption Optimization

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Big Data Framework to Detect and Mitigate distributed Denial of Service(DDoS) Attacks in Software-Defined networks (SDN)

Big Data Framework to Detect and Mitigate Distributed Denial...

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2023 international conference on Electrical, computer, Communications and Mechatronics Engineering, ICECCME 2023

作者： Hamedani, Amirreza Fazely Aziz, Muzzamil Wieder, Philipp Yahyapour, Ramin Göettingen University Department of Computer Science Göttingen Germany EScience Group Göttingen Germany

ISBN: (纸本)9798350322972

The software-defined network is in recent years come into the sight of so many network designers as a successor to the traditional network. This type of network is vulnerable to DDoS attacks, targeting a different part of the SDN network architecture by continuously injecting fake flows. It imposes substantial processing on the controller, and the result ultimately leads to the inaccessibility of the controller and the lack of network service to legitimate *** paper proposes a scalable and reliable real-time DDoS attack detection and mitigation framework using machine learning incorporated with a big data pipeline infrastructure for the SDN environment. The framework supports the detection of DDoS attacks with the ability of processing and analyzing the huge amount of network traffic in near real-time. The framework employs the power of big data solutions, such as Apache Kafka, and Apache Spark in order to realize a scalable pipeline for big data *** main objective of this research is to offer a vital supporter which can assist network security systems in addressing the DDoS threats in the SDN environment. For this purpose, machine learning algorithms are also utilized to provide a viable opportunity for classifying network data and detecting DDoS attacks in this regard. © 2023 IEEE.

关键词： Machine learning

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A Review on Blockchain Strategies and Its Applications 7th

A Review on Blockchain Strategies and Its Applications

引用

7th international conference on Smart Trends in Computing and Communications, SmartCom 2023

作者： Mishra, Priyanka Ganesan, R. Department of Computer Science Engineering Vellore Institute of Technology Tamil Nadu Chennai600127 India

ISBN: (纸本)9789819908370

Blockchain was acquainted with the fundamental innovation with empowering digital currency exchanges among untrusted parties. Today, its potential transformative is contrasted with that of the World Wide Web. With distributed ledger technology, blockchain provides a distributed environment with transparency, integrity, and data security as its highlight features. A critical number of research and contextual analysis discoveries show numerous ventures are, as of now, investigating the different advantages of blockchain innovation. Analysis of how different businesses adopt blockchain could help to see how to take care of comparative sorts of issues in the development business. The vast majority of the flow looking into identified Blockchain Technology is concentrating on its application for cryptographic forms of money;for example, Bitcoin and just a predetermined number of research are focused on investigating the usage of Blockchain Technology in different conditions or divisions. Blockchain Technology is something beyond digital money, and it can have a few applications in government, fund and banking industry, bookkeeping, and Business Process Management. Accordingly, this paper endeavors to research and investigate its chances and difficulties in the use of blockchain technology. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Transparency

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security Issues in IoT: A Review 7

Security Issues in IoT: A Review

引用

7th international conference on Parallel, distributed and Grid Computing, PDGC 2022

作者： Sharma, Monika Bindal, Amit Kumar M M Engineering College Department of Computer Science and Engineering Ambala Mullana India

ISBN: (纸本)9781665454018

Internet of Things (IoT) has only recently come into existence. Since the inception of IoT, the majority of IoT studies, have been on a strategic level, including planning, architecture, standardization, and the most recent technology. Risk management strategies studies on IoT are still sparse. In this paper, the author covered the difficulties with privacy and security encountered when constructing IoT networks. security recommendations by various researchers are also emphasized. Over the past many years, healthcare monitoring systems in hospitals and other health facilities have experienced enormous expansion, and wireless healthcare monitoring devices with a variety of technologies have attracted significant interest in many countries across the world. While the Internet of Things (IoT) has played a crucial role in the transmission of healthcare data, it also poses security issues to the patient-specific health information needed for remote medical treatment. The majority of currently published security solutions for healthcare data are not concentrated on data flow from IoT sensor devices implanted on a patient's body through network routers to doctor's offices. © 2022 IEEE.

关键词： Internet of things

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Dynamic Trust Management in IoT networks using Reputation-Based systems

Dynamic Trust Management in IoT Networks using Reputation-Ba...

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distributed systems, computer networks and Cybersecurity (ICDSCNC), international conference on

作者： D J Samatha Naidu Upma Jain Shruthi S K. B. V. Brahma Rao Syed Mohammad Uzair Iqbal Natrayan L Department of Master of Computer Applications Annamacharya PG College of Computer Studies India Department of Computer Science & Engineering Graphic Era Deemed to be University Dehradun India Department of Artificial Intelligence and Machine Learning BMS Institute of Technology and Management Bengaluru India Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation India Department of Law Symbiosis Law School Symbiosis International (Deemed University) Pune India Department of Mechanical Engineering Saveetha School of Engineering SIMATS India

ISBN: (数字)9798350375442

ISBN: (纸本)9798350375459

The Internet of Things (IoT) enables intelligent data exchange across many kinds of interconnected devices in a diverse and unpredictable physical setting. The Internet of Things (IoT) network used in this study is a cluster-based sensor network that includes a base station and an application server that offers various services in a cloud setting. In this setting, assaults may occur in both device-to-device and user-to-device communication. For pervasive devices with limited resources, the use of conventional encryption techniques to address this problem is not practical. In addition, the majority of current trust-based security solutions either address the user level or the devices level. Therefore, this study aims to tackle environment-specific security concerns at the device and user levels in light of the environment's inherent dynamic and dispersed nature. This research explored the usage of a Trust Based security Framework (TBSF) and Reputation Based systems in the Internet of Things (IoT) to accurately describe the actions of devices and users. Fuzzy logic was used to calculate both the device trust and the user trust. A trust-based access control system, secure cluster head selection, and safe routing were all built using these trust values. At first, the security of device-to-device communication was addressed by the design and effective implementation of the Trust Aware Device Access Control System (TADACS).

关键词： Access control Fuzzy logic Performance evaluation Routing Throughput Device-to-device communication Encryption Internet of Things Servers Trust management

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Trust Monitoring in a Cyber-Physical System for security Analysis Based on distributed Computing

Trust Monitoring in a Cyber-Physical System for Security Ana...

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international conference on Actual Problems of Applied Mathematics and computer systems, APAMCS 2022

作者： Basan, Elena Lapina, Maria Lesnikov, Alexander Basyuk, Anatoly Mogilny, Anton Southern Federal University Taganrog Russia North Caucasus Federal University Stavropol Russia

ISBN: (纸本)9783031341267

Cyber-physical systems are widely used. Nevertheless, security issues are quite acute for them. First of all, because the system must work constantly without downtime and failures. The Cyber-Physical System (CPS) must quickly transfer the parameters to the monitoring system, but if the system is not flexible enough, fast and optimal, then collisions and additional loads on the CPS may occur. This study proposes a system for monitoring and detecting anomalies for CPS based on the principles of trust, which allows you to verify the correctness of the system and detect possible anomalies. In our study, we focus on traffic analysis and analysis of the CPU operation, since these parameters are the most critical in the operation of the CPS itself. The technique is based on computationally simple algorithms and allows to analyze the basic parameters that are typical for most CPS. These factors make it highly scalable and applicable to various types of CPS, despite the fragmentation and a large number of architectures. A distributed application architecture was developed for monitoring and analyzing trust in the CPS. The calculation results show the possibility of detecting the consequences of the influences of denial-of-service attacks or CPS. In this case, three basic parameters are sufficient for detection. Thus, one of the features of the system is reflexivity in detecting anomalies, that is, we force devices to independently analyze their behavior and make a decision about the presence of anomalies. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Anomaly detection

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Using IOT and WSNs Technology for Monitoring an Aquaponic Greenhouse System

Using IOT and WSNs Technology for Monitoring an Aquaponic Gr...

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international conference on Embedded & distributed systems (EDiS)

作者： Achouak Touhami Amina Bourouis Tariq Benahmed Sana Touhami Nawal Touhami Khelifa Benahmed Dept. Mathematics and Computer Science Ali Kafi university center Tindouf Algeria Dept. Mathematics and Computer Science Tahri Mohammed university Bechar Algeria Dept. Electrical Engineering Ahmed Draria university Adrar Algeria

ISBN: (数字)9798331519872

ISBN: (纸本)9798331519889

The increasing population, climate fluctuations, soil erosion, limited water resources, and concerns about food security highlight the need for effective and sustainable approaches to food production. Aquaponics represents a sustainable method that conserves land and water while minimizing its environmental impact. This technique operates as a closed-loop, soil-less farming system, requiring meticulous monitoring, control, and management. Monitoring an aquaponic greenhouse system involves tracking various parameters to maintain the health and productivity of both plants and fish. Our research introduces a design and algorithms for monitoring an aquaponic greenhouse, utilizing wireless sensor networks (WSN), aquaponic systems, and Internet of Things (IoT) technology.

关键词： Productivity Wireless sensor networks Food manufacturing Green products Food security Water conservation Soil Internet of Things Monitoring Water resources

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A Comparative Analysis of IoT Protocols for Resource Constraint Devices and networks 6

A Comparative Analysis of IoT Protocols for Resource Constra...

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6th international conference on Future networks and distributed systems, ICFNDS 2022

作者： Holm, Sara Hammoudeh, Mohammad School of Computing and Mathematics Manchester Metropolitan University Manchester Manchester United Kingdom Information & Computer Science King Fahd University of Petroleum and Minerals Dhahran Dhahran Saudi Arabia

ISBN: (纸本)9781450399050

Communication standards and protocols are detrimental to the success of any Internet of Things (IoT) system or application. Selecting a communication standard and a suitable middleware or messaging protocol for IoT connectivity is challenging due to the heterogeneous resource-constrained IoT devices and their messaging requirements. Recently, several messaging/middleware protocols in the IoT field were developed and adopted in the industry. However, to date, there is no specific messaging protocol that can support all messaging use cases and fulfil the overall requirements of IoT systems. Therefore, it is critical to understand the application layer messaging and communication protocols of IoT systems to identify the most appropriate protocol that could fit and be applied in various contexts. This paper provides a comparative analysis of the MQTT, CoAP, and AMQP messaging protocols including their security. © 2022 ACM.

关键词： Internet of things

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security and Privacy Enabled Framework for Online Social networks using Blockchain 4

Security and Privacy Enabled Framework for Online Social Net...

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4th international conference on Electronics and Sustainable Communication systems, ICESC 2023

作者： Kumar, Arvind Vyas, Tushar Ahmed, Saleem Girdharwal, Nitin Vijayakumar, E. Thangavelu, Arivanantham Mriirs Haryana Faridabad India Jecrc University Department of CSE Rajasthan Jaipur India Oryx Universal College Doha Qatar Madhya Pradesh Indore India KIT- Kalaignar Karunanidhi Institute of Technology Tamilnadu Coimbatore India Dr. D. Y. Patil College of Engineering and Innovation Computer Engineering MaharashtraVarale Talegaon Pune India

ISBN: (纸本)9798350300093

Users may easily deal with data overload concerns while navigating Online Social networks (OSN) through suggestion engines. In addition, it increases a number of privacy-related issues, particularly for users who would rather remain anonymous on OSNs. Furthermore, certain vendors of services sell consumer data to other organizations without the consumer's awareness as a result of the exploitation of online consumer data, which undermines user confidence in the vendors of services. Such issues demand a solution that gives consumers of technology the independence and authority they sorely need over their data. As blockchain technology develops, numerous research organizations are working with distributed techniques to find a solution to the privacy invasion and hacking problem that OSN users face. A blockchain-based hybrid framework for confidentiality maintenance is proposed, to overcome these restrictions. To guarantee the confidentiality and anonymity of user data, two smart contracts, SCSGI and SCSTI are created. While the SCSTI retains information, the SCSGI controls transfer of user information. To identify rebellious nodes, a Graph Attention Network (GAT) was incorporated into the blockchain-enabled platform. The research and trial findings reveal that the suggested approach exemplifies efficacy and confidentiality of consumers in the system. © 2023 IEEE.

关键词： Smart contract

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EAVA: Adaptive and Fast Edge-assisted Video Analytics on Mobile Device 29

EAVA: Adaptive and Fast Edge-assisted Video Analytics on Mob...

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29th IEEE international conference on Parallel and distributed systems, ICPADS 2023

作者： Su, Yingying Cao, Chenhong Li, Jiangtao Li, Yufeng Shanghai University Purple Mountain Laboratories School of Computer Engineering and Science China

ISBN: (纸本)9798350330717

Mobile video analytics applications, such as smart driving, VR/AR, and video surveillance, have become increasingly popular due to the proliferation of mobile devices. These applications typically use compute-intensive Deep Neural networks (DNNs) inference in real-time and require high accuracy. Recent studies have shown that edge computing can significantly improve the performance of these applications by offloading the computation, particularly neural network inference, from mobile devices to nearby edge servers. However, offloading continuous video streams to edge servers still faces the challenge of scarce and variable network bandwidth, resulting in high latency for mobile deep vision applications. Existing works often assume sufficient networks and powerful servers to offload all streaming computation to the edge, resulting in unsatisfactory performance in practical scenarios. In this paper, we propose EAVA, an adaptive Edge-Assisted framework on mobile devices designed for Video Analytics that considers a more practical edge situation with an unstable network environment and multiple DNN model choices. EAVA initially partitions video frame and combines mobile devices with powerful edge servers, allowing these frame partitions to parallel perform video analytics algorithms on local devices or edge servers. To handle the intricate network and inference model dynamics, EAVA trains a deep reinforcement learning model to optimize the Quality of Experience (QoE) for mobile deep vision applications, making adaptive configuration choices. Without relying on preconceived assumptions about the environment, EAVA makes optimal choices based on experiences. Finally, we implement and thoroughly evaluate the performance of EAVA using diverse real-world network traces, demonstrating its superior advantages over existing state-of-the-art solutions. © 2023 IEEE.

关键词： Deep reinforcement learning Edge-Assisted QoE Video Analytics

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