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Optimizing Energy Management and Load Balancing Through AI-Driven Quantum Approximate Optimization 4

Optimizing Energy Management and Load Balancing Through AI-D...

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4th IEEE international conference on Mobile networks and Wireless Communications, ICMNWC 2024

作者： Manjunath Kamath, K. Manasa, M. Anitha, B.S. Mahadevi Tlajiya, Falguni Chavan, Sangramjit Department of Cyber Security Karkala India Brindavan College of Engineering Department of Artificial Intelligence and Machine Learning Bengaluru India Sarada Vilas College Department of Computer Science Mysuru India Parul institute of Engineering and Technology Parul University Department of Electrical Engineering Gujarat India Pune India

ISBN: (纸本)9798350352931

The integration of Quantum Approximate Optimization Algorithm (QAOA) and Quantum Annealing (QA) offers a promising approach to addressing energy management and load balancing challenges in modern power systems. This study explores the application of these quantum computing techniques, coupled with Artificial Intelligence (AI), to optimize energy distribution across smart grids. The proposed hybrid model leverages the problem-solving capabilities of QAOA for discrete optimization and the real-time adaptability of QA for minimizing energy consumption and operational costs. AI techniques are employed to predict energy demand, balance loads, and ensure efficient resource allocation. Simulations were conducted on a smart grid scenario involving renewable energy sources, varying demand, and distributed energy generation. The results demonstrate that the hybrid model achieved a 25% improvement in load balancing efficiency and a 30% reduction in energy wastage compared to traditional optimization methods. Additionally, the model reduced peak energy demand by 20%, contributing to overall grid stability. The quantum-enhanced approach also decreased computational complexity by 40%, enabling faster decision-making in dynamic environments. These findings highlight the potential of combining quantum algorithms with AI for sustainable and efficient energy management. © 2024 IEEE.

关键词： Quantum computers

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Deployment of Co-operative Farming Ecosystems Using Blockchain 22nd

Deployment of Co-operative Farming Ecosystems Using Blockcha...

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22nd international conference on Hybrid Intelligent systems, HIS 2022 and the 18th international conference on Information Assurance and security, IAS 2022

作者： Mahapatra, Aishwarya Gupta, Pranav Swarnkar, Latika Gupta, Deeya Kar, Jayaprakash Centre for Cryptography Cyber Security and Digital Forensics Department of Computer Science & Engineering Department of Communication & Computer Engineering The LNM Institute of Information Technology Jaipur India

ISBN: (纸本)9783031274084

Blockchain has helped us in designing and developing decentralised distributed systems. This, in turn, has proved to be quite beneficial for various industries grappling with problems regarding a centralised system. So, we thought of exploring blockchain’s feasibility in the agricultural industry. India is a country where a large part of the population is still dependent on agriculture, however, there’s no proper system in use as yet that can help the farmers get the right price for their farm products and help the consumers get an affordable price for their ***, we propose a blockchain based decentralized marketplace where we will implement a collaborative model between farmers and consumers. This model will allow the farmers to record their potential crops and the expected output on decentralised ledger besides, enabling them to showcase their integrity and credibility to consumers. The consumers, on the other hand, can actually check everything about the farmers with the help of their information based on the previous supplies. This open and full proof digital market framework will thus reduce black marketing, hoarding, adulteration, etc. In this research paper, we have explored one possible blockchain model by creating a breach proof ledger of records. We have used solidity and ethereum frameworks for the working of the model. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Blockchain

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Simulation of distributed Denial of Service Attack Against Ethereum Smart Contract on the Blockchain

Simulation of Distributed Denial of Service Attack Against E...

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international conference on computer Vision and Internet of Things 2023, ICCVIoT 2023

作者： Jeyakkannan, N. Subathra, G. Karthika, R. Lavanya, A. Kirupanithi, Nancy Rathinam Technical Campus Coimbatore India Sathyabama Institute of Science and Technology Chennai India

ISBN: (纸本)9781839539848

The perception and functional infrastructure of smart networks are changing as a result of the advent of blockchain technology and the proliferation of IoT-driven devices. Deploying Ethereum's smart contracts, the blockchain allows secure administration, authentication, and access to IoT equipment. Blockchain-IoT systems are creating a high amount of sensitive data due to increased demand and growth. DDoS assaults pose the most serious danger to smart contracts in blockchain-IoT systems, according to a new report. Smart contracts in blockchain-IoT systems currently lack any kind of security mechanism. Artificial intelligence approaches for threat categorization utilizing Adaptive Weighted MLP ("Multi-Layer Perceptron") are used first in the proposed security architecture to provide complete autonomy in making decisions. The primary job of the transaction handling engine is to use adaptive weighted MLP to categorize transactions into regular and attack kinds. If the transaction is legitimate, the smart contract will carry out its business logic and add it to the blockchain network in the cloud, where it will be included to future transactions. SHA-256 hash value calculation is used to generate the certificate key. Ethereum Blockchain-based proof of authority is used for data aggregation and transaction addition in the Consensus blockchain mechanism. Homomorphic cryptography schemes are also applied to enhance security. To avoid intrusions, the security of the system is improved. The proposed framework's performance is measured against a real-world IoT dataset, called BoT-IoT20,21, which comprises current DoS ("Denial-of-Service"), DDoS (distributed Denial-of-Service Attack"), and other IoT-based attack samples. We used a variety of assessment measures to determine how effective the suggested distributed system is in finding DDoS attacks. It's also been likened to some of the most modern approaches in the field. © The Institution of Engineering & Technology 2023.

关键词： Blockchain

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hcaPCG: A Heterogeneous and communication-avoid PCG with Jacobi preconditioner on SW26010-Pro architecture 29

hcaPCG: A Heterogeneous and communication-avoid PCG with Jac...

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

作者： Tian, Min Liu, Yue Wang, Li Chen, Yanyan Liu, Qi Pan, Jingshan Qilu University of Technology Shandong Academy of Sciences Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center National Supercomputer Center in Jinan China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Computer Networks China Jinan Institute of Supercomputing Technology Jinan Key Laboratory of High Performance Computing China

ISBN: (纸本)9798350330717

Due to its efficiency and versatility, the preconditioned conjugate gradient algorithm has long been a staple in the realm of iterative linear system solvers. In this paper, we proposed an optimized preconditioned conjugate gradient algorithm tailored for the SW26010-Pro manycore processor, The main work includes: Optimizing data block sizes based on the processor's storage structure;combining thread-level and data-level parallelism, utilizing manual SIMD to improve efficiency;optimizing the memory access pattern by employing direct memory access and overlapping of computation and communication;employing a shared-memory approach to store long vectors across all cores. Furthermore, we design an accelerated algorithm for reduction operations, to avoid data communication. Experimental results show that the hcaPCG yields up to 28.1× speedups on average compared to the original implementation. © 2023 IEEE.

关键词： Communication-avoid Heterogeneous System Jacobi preconditioner PCG algorithm SW26010-Pro

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Design of a Method for Setting IoT security Standards in Smart Cities 18th

Design of a Method for Setting IoT Security Standards in Sma...

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18th international conference on Mobile Web and Intelligent Information systems (MobiWIS)

作者： Svecova, Hana Univ Hradec Kralove Fac Management & Informat Rokitanskeho 62 Hradec Kralove 50003 Czech Republic

ISBN: (纸本)9783031143915;9783031143908

Legal norms of international standards have so far been developed inconsistently and non-comprehensively. Cities, municipalities, regional self-governments or state security forces have no support in legislation or international standards in the form of security standards that they could implement in connection with the integration of the Smart Cities concept. Cyber security leaders involved in drafting legislation have not yet addressed this issue. From the point of view of IoT development, it is necessary to analyse and propose, using a suitable method, security standards for IoT, which could integrate the Smart Cities concept. No method or software is used to design suitable security standards that speed up and streamline preparing legislative documents. Standard MS Office software applications are used to prepare legislative documents, and the overall preparation and processing are not efficient and comprehensive. The article's primary goal is to analyse existing security standards and design a suitable method for comprehensively processing security standards in IoT in Smart Cities. Furthermore, this method could be used to prepare and process other documents in cyber security.

关键词： Content analysis Smart Cities IoT Cyber security Safety

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An Exploration of Evaluating the Performance of Malware Detection in the Cloud Environment

An Exploration of Evaluating the Performance of Malware Dete...

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2023 international conference on computer Communication and Informatics, ICCCI 2023

作者： Kaipu, Charan Nivas Reddy Karthik, Gopu Umadevi, Konala Sree Koushik, Koneru Kamal Pavan Kumar, T. Kavitha, S. Koneru Lakshmaiah Education Foundation Department of Computer Science and Engineering Guntur India

ISBN: (纸本)9798350348217

Numerous businesses now adopt cloud computing, putting their server, storage, and application resources on a network in the cloud somewhere online. Data from the user is stored on cloud at a low price, making cloud computing the most rapidly developing technologies. In a nutshell, cloud technology provides users with the access to massive infrastructures for low latency via a distinct middleware that is comparable to Grid and HPC computing, both of which are currently in use. Over the years, these kinds of systems have become more and more popular since they offer a setting in which to host scalable applications. But rather than offering customers a common platform, the cloud network is vulnerable to several security issues, including malware infections, DDoS assaults, SQL injection, and even more complex attacks like zombie botnets. We describe our research on security challenges and virus spread in cloud networks in this paper. However, the detection capabilities of conventional host-based antivirus software are constrained, and theseprograms frequently miss threats;recent assaults are becoming more complicated and evasive of conventional security measures. To understand cloud security and use cutting-edge malware detection techniques to safeguard cloud, malware detection and research on these approaches are described in this article. Because the resources in a cloud are delivered to the user in the form of VM's, they are susceptible to distributed denial of service attacks, malware exploits,and VM Escape-based attacks. This paper discusses the various detection techniques and the most effectiveones. The discussion of each method will be covered from a broad perspective that also focuses on reliable solutions, future directions, etc. The details are outlined in our article © 2023 IEEE.

关键词： Virtual machine

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RPA-Code for Secure Binary Sequence Generation from Graph-Based Scanning 7

RPA-Code for Secure Binary Sequence Generation from Graph-Ba...

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7th international conference on Future networks and distributed systems, ICFNDS 2023

作者： Bounceur, Ahcene Hammoudeh, Mohammad Hassine, Jameleddine Bezoui, Madani Ahmed, Adel Fadhl Felemban, Muhamad Kfupm Information And Computer Science Department Dhahran Saudi Arabia Cesi Lineact France

ISBN: (纸本)9798400709036

This article introduces a novel method for generating random binary sequences from Random Polar Angles (RPA). These sequences can be derived from an image, akin to QR-Codes, making them suitable for cryptographic applications and information coding systems. The proposed method allows the generation of multiple codes using the same image. It is based on the LPCN (Lowest Polar Angle Connectivity Node) algorithm, which, in each iteration, selects a node from a graph that forms the minimal polar angle with its neighbor found in the previous iteration. The decision on the type of bit to generate (0 or 1) is based on the nature of the angles found (acute or obtuse). The primary objective of this research is to facilitate the transformation of a graph's image representation into a concealed binary code, thereby enhancing data security. We have assessed the randomness of the generated codes through entropy analysis, revealing greater unpredictability. © 2023 ACM.

关键词： Binary sequences

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Machine Learning for Cloud-Based DDoS Attack Detection: A Comprehensive Algorithmic Evaluation 14

Machine Learning for Cloud-Based DDoS Attack Detection: A Co...

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14th international conference on Cloud Computing, Data Science and Engineering, Confluence 2024

作者： Naithani, Anukriti Singh, Shailendra Narayan Kant Singh, Krishna Kumar, Sushil Computer Science and Engineering Aset Amity University Noida India Computer Science and Engineering Nit Kurukshetra India

ISBN: (纸本)9798350344837

distributed denial of service attacks, in the recent times, have become a critical threat to not only private server connections but also meta scale cloud computing environments. This research paper furnishes a detailed analysis of five machine learning algorithms in context with network intrusion detection that are;Isolation Forest, Random Forest, Support Vector Machine (SVM) and Artificial Neural networks (ANN). The dataset used in this study, to differentiate between attack and normal cases, is the KDD cup 1999, wherein the dataset has been converted into binary classes to differentiate between the attack and normal cases. Following are the part of the research;Preprocessing the data, Scaling the features, Training the model and evaluating the performance using crucial metrics like accuracy, precision and F1 score and recall. Graphical representation and confusion matrices for data visualization have been made use of in addition to the aforementioned. The results show a penetrative information about the relative effectiveness and success of different ML algorithms in identifying network intrusions and hence can be used as insightful references for academics and practitioners in the field of network security. A well- explained algorithm selection, based on performance indicators enables an advanced approach to the study, thus providing a framework for further developments in systems of intrusion detection. © 2024 IEEE.

关键词： Denial-of-service attack

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Enhancements to ODXT SSE Scheme: Algorithm Optimization and Leakage Suppression

Enhancements to ODXT SSE Scheme: Algorithm Optimization and ...

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

作者： Prathit Aswar Syed Taqi Ali Dept. of Computer Science and Engineering Visvesvaraya National Institute of Technology Nagpur India

ISBN: (数字)9798350375442

ISBN: (纸本)9798350375459

A Dynamic SSE (Searchable symmetric encryption) scheme should support updates and keyword searches with outsourced symmetrically encrypted data while minimizing the amount of data revealed to the untrusted server. For this purpose, literature in this field has identified two critical security properties, i.e. forward and backward *** this work, we build upon the previously developed "Oblivious Dynamic Cross Tags" (ODXT) scheme for conjunctive keyword searches, featuring forward and backward privacy. The objective is to improve flexibility in the update operation of the given scheme, solve the open problem of s-term leakage, and perform leakage analysis of the improved scheme. We propose flexODXT, to reduce the time required for individual keyword update operations to a constant instead of linear complexity, and we propose suppODXT, to reduce the s-term leakage, an open problem found in ODXT.

关键词： Privacy Heuristic algorithms Keyword search distributed databases computer networks Encryption Servers computer security Secure storage Optimization

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Ensuring Data Protection Using Machine Learning Integrating with Blockchain Technology 10th

Ensuring Data Protection Using Machine Learning Integrating ...

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10th international conference on Innovations in computer Science and Engineering, ICICSE 2022

作者： Diwan, Princy Khandelwal, Brijesh Dewangan, Bhupesh Kumar Department of Computer Science and Engineering Amity School of Engineering Amity University Raipur India Department of Computer Science and Engineering School of Engineering O. P. Jindal University Raigarh496109 India

ISBN: (纸本)9789811974540

In recent years, the emergence of blockchain technology (blockchain) has become a singular, most tumultuous, and trending technology. The decentralized info in blockchain underscores information security and confidentiality. Also, the agreement mechanism in it makes positive that information is secured and legit. Throughout this paper, we have got coated the analysis on combining blockchain and machine learning technologies and demonstrate that they are attending to collaborate with efficiency and effectiveness. Machine learning might even be a general language that comes with a spread of methods, machine learning, deep learning, and reinforcement learning. These ways square measure the core technology for big information analysis. As a distributed and append-only ledger system, a blockchain can be a natural tool for sharing and handling massive information from varied sources through the incorporation of good contracts. Additional expressly, blockchain will shield information security and promote information sharing. It also permits various countries to utilize distributed computing powers, for instance, IoT, for developing on-time prediction models with varied sources of knowledge. Blockchain systems can also generate large amounts of useful data from completely different sources, and the knowledge domain analysis on combining the two technologies is of nice potential and the combination of machine learning and blockchain will give extremely precise results. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Smart contract

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