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Deep Learning Model with Optimization Strategies for DDoS Attack Detection in Cloud computing 3

Deep Learning Model with Optimization Strategies for DDoS At...

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3rd international conference on Intelligent Data Communication Technologies and internet of Things, IDCIoT 2025

作者： Radhika, P. Kamalakkannan, S. Department of Computer Science Vel’s Institute of Science Technology and Advanced Studies Tamil Nadu Chennai India

ISBN: (纸本)9798331527549

Cloud computing (CC) remains as a chief research area for analysts because of its numerous applications and advantages. The dispersed nature of CC and its dependence on internet service poses several attacks and challenges. Mainly, the attacks like DDoS attempts to disrupt the online operations. Insider attacks cannot be detected using conventional detection techniques like firewalls. This study suggests a DDoS detection method for reducing the DDoS activity. The proposed work contributes under big data perspective by handling certain procedure for detection process. Data Generation phase is the initial step, and according to the work, DDoS dataset is considered under big data perspective. As the work is considered under the big data perspective, Map reduce (MR) framework is used, Mapper handles the data and process the feature extraction, which includes the extraction of raw features, Packet feature extractor, Improved Correlation and statistical Feature. Reducer provides the combined feature set. From the extracted feature set, appropriate features are selected via Weightage based Improved hybrid model combining the models like Long short term memory(LSTM) and Deep Maxout(DMO) networks is used. The weights of LSTM and DMO are optimally chosen using White Shark-Remora Optimization (WSROA) algorithm. Recursive Feature Elimination (RFE) process is used to precisely select the features for DDoS attack detection. The findings shows that the proposed hybrid bio-inspired algorithm outperforms with an accuracy of 94% compared to LSTM, Convolutional Neural Networks(CNN) and Deep Belief Networks(DBN). © 2025 IEEE.

关键词： Convolutional neural networks

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Denial of Service Attack Detection and Mitigation using Ensemble based ML in Software Defined Network 3

Denial of Service Attack Detection and Mitigation using Ense...

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3rd international conference on Applied Artificial Intelligence and computing, ICAAIC 2024

作者： Sathish, N. Valarmathi, K. Nagalakshmi, R. Hema Priya, K. Vel Tech Rangarajan Dr.Sagunthala R&d Institute of Science and Technology School of Computing Tamil Nadu Chennai India Panimalar Engineering College India Srm Institute of Science and Technology Computer Science and Engineering. Ramapuram India Easwari Engineering College Department of Cse India

ISBN: (纸本)9798350375190

Software-defined networking (SDN) introduces a novel networking paradigm by decoupling control logic from forwarding operations, resulting in improved network resource management and administration efficiency. However, centralized network design in SDN gives rise to significant security challenges, notably denial-of-service (DoS) attacks. Attackers exploit SDN's lack of effective message-verification mechanisms to launch DoS attacks by falsifying source address information. In response, this study proposes an innovative approach to internet of Things (IoT) security leveraging software-based networks and collaborative learning. One key strategy involves partitioning the network domain into smaller subdomains, each with its own controller, facilitating the exchange of security rules among subdomains. However, this topology necessitates routing every packet through the subnet's control node. To continually monitor network traffic data and detect attacks, each controller node employs an integrated learning model. This model combines statistical insights from data streams with artificial neural networks and the Extreme Gradient Boosting Algorithm to anticipate potential attacks. Additionally, the ICOA model selects relevant characteristics for analysis. Through comprehensive performance evaluation, including empirical values, the ensemble model demonstrates superior performance compared to existing approaches. Furthermore, the study compares various models and methodologies, affirming the efficacy of the proposed strategy in accurately identifying distributed Denial-of-Service (DDoS) attacks in SDNs, thereby presenting a groundbreaking approach to SDN security. © 2024 IEEE.

关键词： Neural networks

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A Survey on NIST 3rd Round Post Quantum Digital Signature Algorithms 5

A Survey on NIST 3rd Round Post Quantum Digital Signature Al...

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5th international conference on Mobile computing and Sustainable Informatics, ICMCSI 2024

作者： Shajahan, Rasha Jain, Kurunandan Krishnan, Prabhakar Amrita Vishwa Vidyapeetham Center for Cybersecurity Systems and Networks India

ISBN: (纸本)9798350395235

Currently, digital signature techniques used in public key infrastructure are based on challenges such as discrete logarithms and integer factorization. The introduction of quantum computers poses significant risks to these algorithms, since they may be able to solve the aforementioned problems faster than existing computers. Hostile assaults and security flaws might put the entire internet's security infrastructure in danger. In the era of quantum computing, protecting digital networking requires adopting a quantum-resistant perspective. One area of cryptography that aims to address the looming security problems that quantum computing is bringing about is post-quantum cryptography (PQC). Its goal is to reduce the risks associated with the current encryption and digital signature technologies. To ensure information security in the era of quantum computing, the NIST is actively involved in standardizing and collaborating on these initiatives. Our survey conducts a study to assess the readiness of post-quantum digital signatures to ensure data security during storage and transport. It also provides an extensive analysis of performance metrics for the 3rd NIST candidates of PQC digital signature algorithms, including key sizes and execution times. © 2024 IEEE.

关键词： Quantum computers

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Algorithm optimization of multi-source heterogeneous big data in the context of cloud computing 3

Algorithm optimization of multi-source heterogeneous big dat...

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3rd IEEE international conference on Power, Electronics and Computer Applications, ICPECA 2023

作者： Liu, Yajie Tianjin University of Technology Tianjin China

ISBN: (纸本)9781665472784

Nowadays, internet technology has rapidly spread to all over the world, which brings a large amount of information data, and how to achieve efficient processing in these rapidly growing heterogeneous data has become a research hotspot in the field of big data nowadays. For this hotspot, this paper firstly introduces multi-source heterogeneous and cloud computing, and then proposes a multisource heterogeneous big data optimization method, which obtains big data information sources for data scheduling priority calculation by threshold comparison in the context of cloud computing, determines data by priority value, and selects suitable processors for execution, and proves that this algorithm has the advantages of higher acceleration ratio and throughput by comparing this algorithm with traditional big data scheduling methods. © 2023 IEEE.

关键词： Big data

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Efficient Signal Processing: Harnessing distributed Arithmetic for High-Speed FFT Operations 3

Efficient Signal Processing: Harnessing Distributed Arithmet...

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3rd international conference on Intelligent and Innovative Technologies in computing, Electrical and Electronics, IITCEE 2025

作者： Bharathi, M. Mohanarangam, Krithikaa Shirur, Yasha Jyothi M. Andhra Pradesh Tirupati India Symbiosis Institute of Technology Pune India Bnm Institute of Technology Electronics and Communication Engineering Bangalore India

ISBN: (纸本)9798331515911

The present article introduces a novel approach to significantly enhance the computational efficiency of modern Digital Signal Processing (DSP) processors. The algorithm enhances the efficiency of Sum of Products (SOP) operations, which are essential for real-time signal processing applications, by utilizing distributed Arithmetic (DA) techniques for the Fast Fourier Transform (FFT) and its inverse (Inverse FFT) (IDFT) computations. The present study undertakes an exhaustive quantitative analysis to assess the computational delays of the proposed 2, 4, and 8-point Fast Fourier Transform (FFT) and Inverse Discrete Fourier Transform (IDFT) across various bit representations (4, 8, and 16-bit). For example, when using 4-bit representations, the computational delays for a 2-point Fast Fourier Transform (FFT) are measured to be 13.318ns, 30.629ns for a 4-point FFT, and 27.779ns for an 8-point FFT. Similarly, the delays for the 2-point Fast Fourier Transform (FFT) in an 8-bit representation are 13.727ns, the 4-point FFT in 22.276ns, and the 8-point FFT in 30.592ns. The study further includes the addition of appropriate delays for IDFT operations, which enhances the understanding of the effectiveness of the approach suggested in various scenarios. Furthermore, the research presents and evaluates three distinct categories of transforms, namely 2-point, 4-point, and 8-point FFT and IDFT structures. These structures utilize different quantities of Look-Up Tables (LUTs) for computational purposes. The research showcases the exceptional computing efficiency of the suggested design through detailed quantitative analysis, emphasizing its potential advantages in improving DSP implementations in practical situations. © 2025 IEEE.

关键词： Inverse problems

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Performance Evaluation of Routing Protocols in Device-to-Device (D2D) Communication 3

Performance Evaluation of Routing Protocols in Device-to-Dev...

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3rd international conference on Artificial Intelligence For internet of Things, AIIoT 2024

作者： Balaji, V. Selvaraj, P. College of Engineering and Technology SRM Institute of Science and Technology Department of Computing Technologies Chengalpattu Dt TN Chennai India

ISBN: (纸本)9798350372120

Ad hoc networking, also known as D2D networking, is a method of communication that does not require on any preexisting infrastructure, notably but not limited to dedicated routers, transceiver base stations, or even cables. D2D networks have proven to be an intriguing subject for research scientists and entrepreneurs that pioneered the internet. A D2D network is an ad hoc network that may change locations and adapt its configuration dynamically. Since D2D networks are movable nodes, they link to a variety of networks using wireless connections. It is possible for this to be a regular Wi-Fi connection or, alternatively, a broadcast through cellular or satellite technology. While others may be connected to the internet, some are limited to those wireless devices that are located within a specific geographic area. Given the dynamic nature of D2D networks, they do not offer a high level of security. Considering the dynamic nature of ad hoc networks, the focus is on addressing the routing algorithms difficulties and performance Due to the numerous routing methods suggested for D2D networks, it is quite difficult to determine the most suitable protocol for different network scenarios. This study aims to evaluate different routing algorithms performance and provide suggestions for selecting the most suitable routing algorithms for specific applications. © 2024 IEEE.

关键词： Ad hoc networks

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Design and implementation of functional components in embedded environments 3

Design and implementation of functional components in embedd...

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3rd international conference on Electronic Information Engineering, Big Data, and Computer technology, EIBDCT 2024

作者： Liu, Yukun Lv, Guangzhe Wang, Yifan Aeronautics Computing Technology Research Institute Xi'an China

ISBN: (纸本)9781510680449

In order to realize a distributed service governance system based on OSGi(Open Service Gateway Initiative) in embedded environment, this paper rewrites and extends the ideas of OSGi framework in module layer, life cycle layer and service layer in Java domain, and verifies them. The main research contents are service encapsulation method, service registration method, service search method and service state management method. Through the above research, distributed service governance system is realized in embedded environment. The system realizes the distributed requirements, and retains the advantages of service standardization, scalability and portability in OSGi. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Life cycle

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Hardware Implementation of Shadow Lightweight Block Cipher for Resource-Constrained IoT Devices 3

Hardware Implementation of Shadow Lightweight Block Cipher f...

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3rd international conference on Power, Control and computing Technologies, ICPC2T 2024

作者： Yadav, Pranjali Chandrakar, Sanskriti Mishra, Zeesha Acharya, Bibhudendra National Institute of Technology Department of Electronics and Communication Engineering Raipur CG 492010 India Chhattisgarh Swami Vivekanand Technical University Raipur CG 492010 India

ISBN: (纸本)9798350349207

The development of the internet of Things has led to a notable increase in the adoption of low-power, multipurpose sensors. Ensuring data security during transmission is crucial for these internet of Things nodes. A compromised node can severely damage the network. However, due to their limited resources, it is difficult to implement suitable cryptographic functionality on constrained devices. In such circumstances, lightweight cryptography acts as a benefactor. A lightweight cryptographic method is a protocol that is intended to be used in situations with limitations, such as RFID tags, contactless smart cards, sensors, etc. Because of the peculiarities of rotation, XOR (ARX), and addition or AND operations, the round function must be based on the Feistel structure in order for decryption to be accurately performed. The issue with ARX-based block ciphers is that they only modify half of the plaintext block at a time, requiring additional rounds of iteration. In this project, a new logical approach that combines generalized Feistel structure and ARX operations is implemented. The challenge faced by conventional ARX ciphers is that they can only spread half of a plaintext block in a single round. Shadow solves this issue by considering the complete plaintext block. In order to guarantee the effectiveness of the encryption hardware circuit while preserving the security of the physical-layer signal, the suggested study examined the round-based hardware design of the Shadow cipher. The use of VLSI technology in the form of Xilinx software is also done in the paper. Shadow has shown almost 3 times better efficiency as compared to other block cipher. © 2024 IEEE.

关键词： internet of things

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Analyzing the function of smart security in the context of the internet of things 3

Analyzing the function of smart security in the context of t...

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3rd international conference on Advance computing and Innovative Technologies in Engineering, ICACITE 2023

作者： Naidu, K. Venkatagurunatham Pillai, Anchu Krishnan Rajaprabha, C.E. Sharma R, Rajesh Ul Islam, Atowar Khasimbee, Shaik Dr M.G.R Educational and Research Institute Dept. of Computer Science and Engineering Chennai India Xavier Institute of Engineering Applied Science and Humanities Maharashtra Mumbai India Hindusthan Institute of Technology Department of Computer Science and Engineering Coimbatore India Adama Science and Technology University School of Electrical Engineering and Computing Department of Computer Science and Engineering Nazareth1888 Ethiopia University of Science and Technology Meghalaya Department of Computer Science and Electronics Meghalaya Baridua793101 India Aditya College of Engineering Department of Computer Science and Engineering Andhra Pradesh Surampalem533437 India

ISBN: (纸本)9798350399264

technology is getting better day by day and human beings are using the latest technology possible for their needs and safety. Many devices have been invented that use the internet and with this human safety issues are also taken care of up to a great extent. GPS tracking devices, SHE (Society Harnessing Equipment), AESHS (Advanced Electronic System for Human Safety), ILA Systems are one of the most useful applications and devices that are used for human safety. Human safety and especially the safety of girls have become an emerging and sensitive issue in the present world scenario. This article deals with the role of the internet of Things in advancing smart security. The issues are taken care of with the help of these upgraded devices that are easily accessible from a remote location with an internet connection. © 2023 IEEE.

关键词： internet of things

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Research on Meteorological Data Storage technology Based on NetCDF 21

Research on Meteorological Data Storage Technology Based on ...

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21st IEEE international conference on Mechatronics and Automation (IEEE ICMA)

作者： Liu, Yachen Wang, Qi Tianjin Emergency Publ Event Warning Informat Rel 100 Qixiangtai Rd Tianjin Peoples R China Tianjin Meteorol Serv 100 Qixiangtai Rd Tianjin Peoples R China

ISBN: (纸本)9798350388084;9798350388077

With the rapid development of sensor technology and internet technology, the amount of data collected in meteorological and scientific fields has soared. The data stored in NetCDF format is faced with the challenges of being damaged, difficult to recover, and frequent calls to disk resources. Although Hadoop distributed storage solutions have obvious advantages, HDFS based file system tools cannot be directly used for data processing due to their lack of support for the NetCDF format. Therefore, this article delves into the storage and write mechanism and block architecture of HDFS, and extends the read and write interface of NetCDF data to improve data portability, access efficiency, and sharing convenience, thereby providing strong support for scientific computing.

关键词： NetCDF Hadoop HDFS distributed storage

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