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Optimization and application of web crawler architecture 3

Optimization and application of web crawler architecture

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3rd international conference on Computer Science and Communication Technology, ICCSCT 2022

作者： Li, Kuncheng Fei, Junqi Fan, Chunmei Data Research Center China Academy of Information and Communications Technology Beijing China Network Education College Beijing University of Posts and Telecommunications Beijing China Beijing Key Laboratory of Network System and Network Culture Beijing China

ISBN: (纸本)9781510661240

For monitoring of cutting-edge technologies by obtaining the massive data on the internet, the pyspider framework is used to regularly crawl the information of a large number of websites, and the crawled data is regularly imported into the business application system through python scripts. At the initial stage of the project, the distributed architecture is used as officially recommended by pyspider. Later, it is optimized as the clustered architecture in order to adapt to the actual network environment and the characteristics of crawler tasks. After testing, the work efficiency and stability of the improved architecture have been greatly improved and the expected results have been achieved. © 2022 SPIE.

关键词： Web crawler

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Fully distributed Event-Triggered Consensus of Linear Multi-Agents systems With Input Delay and Unknown Disturbance

Fully Distributed Event-Triggered Consensus of Linear Multi-...

引用

Communication Technology and information Technology (ICCTIT), international conference on

作者： Yixiang Dong Hongquan Ni Zeshuai Li College of Information Science and Engineering Northeastern University Shenyang China Department of Electrical Engineering ShanXi Electric Power Technical College Shanxi China

This paper focuses on the fully distributed event-triggered linear multi-agents issue with network delay and external disturbance. Based on the designed observer, slide mode control theory is introduced to deal with the unknown disturbance. Compared with the previous related works, the deterministic sinusoidal disturbance is no longer needed, and a known network delay is introduced for practical reasons. Without requirement of global information and Zeno behavior, the event-triggered consensus protocol is exported, which is fully distributed. By utilizing a 4 nodes multi-agents system simulation, we attested the validity of our control laws.

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Intrusion detection systems for distributed environment 3

Intrusion detection systems for distributed environment

引用

3rd international conference on Intelligent Communication Technologies and Virtual Mobile Networks, ICICV 2021

作者： Malani, Dhrumil Modi, Jimit Lilani, Siddharth Desai, Yukta Dhanare, Ritesh SVKM's NMIMS MPSTME B.Tech in Information Technology Shirpur India SVKM's NMIMS MPSTME Department of Information Technology Shirpur India

ISBN: (纸本)9780738111834

Security is of utmost importance for any organization's network. Attackers have been attacking distributed networks for quite some time now. In spite of this, a successful distributed Intrusion Detection System (DIDS) is not in place for many organizations. The reason behind this is the lack of a foolproof system that runs on a very efficient algorithm. Improving an existing model of distributed Intrusion Detection System would help in reducing organizational concerns, risk of attacks and vulnerability of a system to get attacked. Most of the existing intrusion detection systems suffer with the problem of reporting false positive and true negative results which adds to their error rates. It has become essential for such systems to be worked upon and improved with the objective of increasing their efficiency by reducing probability of giving erroneous results. This paper includes a comprehensive review of the researches relating to distributed Intrusion Detection systems. It acknowledges the need for establishing an efficient distributed Intrusion Detection System. We aim to design a system that uses existing designs of these systems, algorithms used in the past and fuzzy logic theory by simulation, testing and modelling. © 2021 IEEE.

关键词： Intrusion detection

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A uniform network flow feature aggregation method based on parallel LSTM 3

A uniform network flow feature aggregation method based on p...

引用

3rd international conference on Advanced Algorithms and Signal Image Processing, AASIP 2023

作者： Shou, Xin Yin, Lihua Luo, Xi Cyberspace Institute of Advanced Technology Guangzhou University Guangzhou China

ISBN: (纸本)9781510668522

As the Internet continues to evolve, network attacks are becoming increasingly complex, and malicious traffic is taking on more diverse forms. A key factor in the correct identification of whether traffic is benign or malicious is the method used to extract traffic features. While researchers have investigated the extraction of robust features from raw traffic data, most have focused solely on individual packets and have not considered the semantic representations of bytes in the same location across different packets. In this paper, we propose a novel method for extracting aligned byte stream features, which involves splitting packets into several parts to extract aligned bytes. Based on this method, we propose a deep-level network-based flow feature aggregation approach for detecting malicious traffic, which uses multiple LSTMs to aggregate flow features and employs deep-level networks for detection. Extensive experimental evaluations demonstrate the effectiveness of the proposed method. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Long short-term memory

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Cooperative Transmit Resource Scheduling Algorithm for Asynchronous Tracking in Heterogeneous Multiple distributed Radar Networks with Imperfect Detection 1

引用

3rd international conference on Autonomous Unmanned systems, ICAUS 2023

作者： Shi, Chenguang Dong, Xili Tang, Zhicheng Wang, Ziwei Salous, Sana Ministry of Education Nanjing China Beijing Institute of Control and Electronics Technology Beijing China Department of Engineering Durham University Durham United Kingdom

ISBN: (数字)9789819710911

ISBN: (纸本)9789819710904

In this study, we propose a cooperative transmit resource scheduling (CTRS) algorithm for addressing the challenge of asynchronous multiple targets tracking (AMTT) in heterogeneous multiple distributed radar networks (HMDRNs) with imperfect detection performance. The main goal of the CTRS algorithm is to optimize the allocation of heterogeneous illumination resources, such as target-to-radar assignment, transmit power, dwell time length, and signal effective bandwidth, in order to minimize the overall radio frequency resource consumption while meeting the predetermined AMTT requirements and system constraints. To evaluate the accuracy of AMTT under imperfect detection conditions, we employ the Bayesian Cramér-Rao lower bound (BCRLB) as the criterion utility function. Furthermore, we develop a three-step solution approach that combines sequential quadratic programming (SQP) and cyclic minimization algorithm (CMA) to effectively address the resulting problem. Through extensive numerical simulations, we demonstrate the superiority of our proposed algorithm in terms of resource consumption and AMTT accuracy, outperforming existing approaches. The results confirm that our algorithm achieves equivalent AMTT accuracy with reduced resource utilization, showcasing its potential for practical implementation in real-world scenarios. © Beijing HIWING Scientific and Technological information Institute 2024.

关键词： Target tracking

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A combination of multi and univariate anomaly detection in urban irrigation systems 3

A combination of multi and univariate anomaly detection in u...

引用

3rd international conference on Embedded and distributed systems, EDiS 2022

作者： Gonzalez-Vidal, Aurora Fernandez-Garcia, Jesus Skarmeta, Antonio F. University of Murcia Department of Information and Communication Engineering Spain

ISBN: (纸本)9798350397543

Water scarcity is a global concern that requires a more intelligent way to manage the water network in order to minimize consumption and losses. There is a current need for new automated and intelligent decision support systems that employ data analytic advances to analyze in real-Time the anomalies and problems that appear in water usage. In our case, we have developed a 3 steps system using unsupervised algorithms, that has been tested on the irrigation of urban parks. Those steps consist of grouping the parks according to similarities in the irrigation by clustering the consumption time series, searching for the dates where multivariate anomalies occur in every group using the Vector Autoregressive Model, and finally, applying an ARIMA framework to each series in the area of those dates. Our methodology reduces the time that anomaly detection univariate systems require for analysing the whole univariate time series by extracting previous knowledge on a multivariate approach. This methodology, when integrated with an IoT platform, is a tool for easing the labelling of real anomalies and can help create supervised datasets for future research in the area. The approach is used in urban scenarios, however, can easily be extended to be an application for smart agriculture scenarios. © 2022 IEEE.

关键词： Irrigation

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A Blockchain Approach to IoT Security and Reliability Analysis 3

A Blockchain Approach to IoT Security and Reliability Analys...

引用

3rd international conference on Intelligent Engineering and Management, ICIEM 2022

作者： Jain, Nilesh Wahid, Nazia Al-Farhani, Liwa H. Manideep, A. Sai Bhardwaj, Vikash Sangeeth Kumar, M. Mandsaur University Department of Computer Applications Madhya Pradesh Mandsaur India Vishwakarma University Faculty of Science & Technology Department of Mathematics & Statistics Maharashtra Pune India RDUN University System Analysis Control and Information Processing Academy of Engineering Moscow Russia Vignan's Foundation for Science Technology and Research Department of Management Studies Andhra Pradesh Guntur India Dewan VS Institute of Engineering & Technology Uttar Pradesh Meerut India Sona College of Technology Mechanical Engineering Department Tamilnadu Salem India

ISBN: (数字)9781665467568

ISBN: (纸本)9781665467568

An investigation area of interest including the use of blockchain technology to address Internet of Things security concerns (IoT). Despite the fact that numerous relevant ideas have been offered, there are few published works that provide hypothetical and information backing. The examination of model building and execution assessment is the focus of this research. First, an IoT security paradigm is outlined, using blockchain and the Inter-Planetary-File-System (IPFS) in a view. Many of the security risks associated with traditional IoT designs can be avoided with this paradigm, and framework execution is entirely focused on distributed large limit stockpiling, simultaneity, and query. In addition, the suggested model's display is evaluated using normal idleness and throughput, which are important for further investigation and enhancement of this course. The blockchain-based security model's feasibility has been demonstrated via analysis and experiments. © 2022 IEEE.

关键词： Blockchain

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A DNN-Based GLMB Algorithm for Multi-sensor Multi-target Tracking with Dense Group Clutter 1

引用

3rd international conference on Autonomous Unmanned systems, ICAUS 2023

作者： Zhang, Yongquan Shang, Aomen Li, Siwei Su, Zhenzhen Ji, Hongbing School of Electronic Engineering Xidian University Xi’an710071 China Science and Technology on Electronic Information Control Laboratory Chengdu610036 China

ISBN: (数字)9789819710911

ISBN: (纸本)9789819710904

Multi-sensor multi-target tracking (MTT) with dense group clutter is facing great challenges in data fusion. One is the high computational complexity caused by the dense group clutter;another is that existing fusion algorithms do not have uniform fusion guidelines. To handle these problems, we present a novel multi-sensor MTT algorithm in this paper, which is based on the generalized labeled multi-Bernoulli (GLMB) filter and distributed deep neural networks (DNN) track fusion under the multi-sensor (MS) system, named the MS-GLMB-DNN algorithm. Firstly, a clutter pre-processing is elaborated, it is based on a CFDP (cluster by finding density peaks) algorithm to reduce the effect of the dense group clutter. Then, the GLMB filter is applied to the DNN track fusion framework for effectively fusing various local tracks. Experimental results indicate that, compared with the commonly used covariance intersection (CI) fusion algorithm, the proposed algorithm can effectively eliminate the effect of clutter on target tracking results, reduce computational complexity, and improve tracking accuracy. © Beijing HIWING Scientific and Technological information Institute 2024.

关键词： Deep neural networks

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A lightweight distributed processing computer system

A lightweight distributed processing computer system

引用

Electronic Technology, Communication and information (ICETCI), IEEE international conference on

作者： Zhenpeng Xu Weiwei Li Jinyong Yin Department of Computer Jiangsu Automation Research Institute Lianyungang China

For the needs of real-time parallel processing of critical task and real-time state control in muti-node computing system, a lightweight distributed processing computer mechanism is designed for iterative computing type tasks based on theoretical techniques such as memory computing and distributed computing. Using the feature of distributed collaborative processing, the data is deployed to different nodes to reduce the burden of each node and. To support continuous computational iterations, temporary data for each computation is temporarily stored in memory to reduce the disk IO access time during the iteration. Before the start of the whole task, the transformation relationship between the saved data is defined by generating the run plan graph of this task. In addition to load balancing of processing nodes, a balanced scheduling mechanism of control nodes is introduced to monitor the operation status of each node in real time through load balancing and control the deployment of computation tasks. Tests show that the designed lightweight computing mechanism outperforms the traditional distributed computing mechanism. In addition, the performance outperforms the mainstream memory-based distributed computing mechanism when carrying multiple tasks.

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IoV Edge Data Integrity Audit Method Based on Blockchain 3

IoV Edge Data Integrity Audit Method Based on Blockchain

引用

3rd international conference on Blockchain Technology and information Security, ICBCTIS 2023

作者： Qi, Hui Li, Hang Yu, Wangdong Wang, Chunbo Jilin Key Laboratory of Network and Information Security Changchun University of Science and Technology Changchun China Jilin Key Laboratory of Network and Information Security Changchun University of Science and Technology School of Information Technology Changchun Automobile Industry Institute Changchun China

ISBN: (纸本)9798350340402

With the quick development of Internet of Vehicles (IoV) technology, a lot of private data of vehicle users has been generated. An increasing amount of vehicle data is being collected in the cloud storage providers (CSP) and the edge node (EN). These data involve user privacy and vehicle driving data, and once they are damaged or lost, they will lead to serious traffic accidents. Therefore, safeguarding the security and integrity of IoV data has become a hot issue. However, due to the distributed nature of the IoV data system and the difficulty of edge node management, the traditional data integrity auditing methods can no longer satisfy the needs in the IoV cloud-edge collaboration scenario. Therefore, we propose a IoV edge data integrity audit method based on blockchain First, our design a novel cloud-edge collaborative storage model that not only allows both cloud and edge to participate in the audit, but also enables the data user (DU) to quickly access the IoV data and reduce the pressure of data transmission. Second, during the audit phase, we use the third-party auditor (TPA) to design a low-overhead audit algorithm and ensure that the privacy of the IoV data is not compromised. Finally, the TPA records audit transactions on the blockchain, so that the DU can re-review the TPA's audit results to find out whether the TPA is delaying and falsifying the audit result. Theoretical analysis shows that our method can protect the privacy of IoV data. Meanwhile, the experimental results show that our method has a low time overhead and the storage model is suitable for the IoV environment. © 2023 IEEE.

关键词： Blockchain

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