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SQL Injection Detection Using Optimized Recurrent Neural Network Integrated with N-Gram: A Comparison

SQL Injection Detection Using Optimized Recurrent Neural Net...

引用

2024 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication, IConSCEPT 2024

作者： Vinodh, Jerlin Mary Kanaga, E. Grace Computer Science and Engineeringm Karunya University of Technology and Sciences Coimbatore India

ISBN: (纸本)9798331540685

SQL injection is a serious security issue that can lead to data breaches and identity theft. Detecting SQL injection attempts in real time is important to prevent attacks and identify vulnerabilities. The performance of Particle Swarm Optimizer., Ant Colony Optimizer., and Artificial Bee Colony optimizer in training Recurrent Neural Networks for SQL detection using N-gram analysis is compared. The inclusion of N-gram analysis significantly improves the RNN-based model's performance., making it a promising solution for detecting SQL injection attacks in real-world web applications. © 2024 IEEE.

关键词： N-gram analysis Recurrent Neural Networks SQL injection vulnerabilities

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SQL Injection Detection Using Optimized Recurrent Neural Network Integrated with N-Gram: A Comparison

SQL Injection Detection Using Optimized Recurrent Neural Net...

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Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT), International Conference on

作者： Jerlin Vinodh E. Grace Mary Kanaga Computer Science and Engineeringm Karunya University of Technology and Sciences Coimbatore India

ISBN: (数字)9798331540685

ISBN: (纸本)9798331540692

关键词： Training Recurrent neural networks Signal processing algorithms Organizations SQL injection Signal processing Feature extraction

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Approach to Recommend Tourist Spots for Foreigners Visiting Himeji City

Approach to Recommend Tourist Spots for Foreigners Visiting ...

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International Symposium on Multiple-Valued Logic

作者： Ahamad Izzat Hamizan Bin Abu Talib Teijiro Isokawa Naotake Kamiura Dept. of Electronics and Computer Science Graduate School of Engineeringm University of Hyogo Himeji Japan

ISBN: (数字)9798350343083

ISBN: (纸本)9798350343090

In this paper, an automatic method of creating a sightseeing route is proposed for foreign tourists. All spots connected by the route are located in Himeji City, Japan. To evaluate each spot, the proposed method introduces six genres as main factors of the recommendation. It uses a network model to extract at most 10 words having high affinity with the genres, and calculates the frequencies of those words appearing in comments on the internet. The frequencies are converted into a 5-point scale as genre score for spots. After defining initial scores associated with time restrictions in visiting spots, the proposed method estimates the total score of spots while taking 2 genres entered by a user, their locations, and their business hour information into account, and recommends at most 5 spots with a high score. It finally creates a route connecting the recommended spots. It has been revealed that the proposed system achieves on average 79% accuracy as percentage of recommending spots suitable to genres specified by users.

关键词： Time-frequency analysis Accuracy Systematics Urban areas Frequency conversion Frequency estimation Logic

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Evaluation Model of Logistics Park Operation Service Capability Based on Entropy Weight and Fuzzy Comprehensive Evaluation 18

Evaluation Model of Logistics Park Operation Service Capabil...

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18th International computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2021

作者： Su, Chen Li, Jianping Chen, Qiangqiang Xiao, Fei University of Electronic Science and Technology of China School of Computer Science and Engineeringm Chengdu611731 China

ISBN: (纸本)9781665413640

In order to scientifically analyze the operational service status of the logistics park, this article introduces the meaning and composition of the operational service capabilities of the logistics park. A comprehensive evaluation system of 15 indicators has been established from the four aspects of logistics business services, management services, public services, and operational cooperation. The entropy weight method is used to determine the objective weight, and the fuzzy comprehensive evaluation model is used to comprehensively evaluate the logistics park indicators. Based on the comprehensive evaluation results, methods and measures to cultivate the operational service capabilities of the logistics park are proposed. © 2021 IEEE.

关键词： Fuzzy set theory

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Application of Deep Learning for Image Sequence Classification 10

Application of Deep Learning for Image Sequence Classificati...

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10th International Conference on System Modeling and Advancement in Research Trends, SMART 2021

作者： Jain, Arpit Gupta, Anurag Sengar, Alok Singh Shukla, Ratnesh Kumar Jain, Abhishek Computer Science Engineering College of Computing Science Information Technology UP Moradabad India Computer Science Engineeringm Roorkee Institute of Technology UK Roorkee India

ISBN: (纸本)9781665439701

Understanding human behavior from videos is a difficult challenge in computer vision. computers are already pretty competent at recognizing objects in static photos, and such technology is frequently utilized today, but doing so in moving images is far more difficult. Identifying human behavior in films is a key step in creating smarter, gentler robots. Identifying the human activity in motion neural network plays a crucial role. In this study, we proposed a convolutional neural network to identify human activities in video. This algorithm helps in many sectors like anti-terrorists, anti-crime securities, and as well as surveillance, life logging and assistance. © 2021 IEEE.

关键词： computer vision

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Electrical Manipulation of Noncollinear Antiferromagnetic State via Orbital Hall Effect

Electrical Manipulation of Noncollinear Antiferromagnetic St...

引用

Magnetic Conference - Short Papers (INTERMAG Short Papers), IEEE International

作者： Hang Xie Nan Zhang Yuteng Ma Xin Chen Lin Ke Yihong Wu Department of Electrical and Computer Engineering National University of Singapore Singapore Institute of Materials Research and Engineeringm Agency for Science Technology and Research Singapore National University of Singapore (Chong Qing) Research Institute China

ISBN: (数字)9798350362213

ISBN: (纸本)9798350362220

Orbital Hall effect can induce spin-orbit torque in ferromagnetic heterostructures with similar symmetry as spin Hall effect. Due to its weak dependence on spin-orbit coupling, even light metals like Cr could exhibit robust orbital Hall conductivity and generate comparable spin-orbit torque as heavy metals. In view of this, we study the electrical control of antiferromagnetic state in Mn3Sn/Cr and ferromagnetic state in CoFeB/Cr. We find that Cr can induce efficient switching in both Mn3Sn and CoFeB despite its negligible spin Hall angle. However, from terahertz emission and magnetoresistance measurements, the inverse process - spin-to-charge conversion in Cr/CoFeB is much less efficient than the heavy metal-based structures. These results suggest that the observed switching in Mn3Sn/Cr and CoFeB/Cr is mainly contributed by orbital Hall effect rather than spin Hall effect.

关键词： Couplings Torque Metals Switches Extraterrestrial measurements Orbits Hall effect

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Autonomous Vehicles Using Deep Learning 8

Autonomous Vehicles Using Deep Learning

引用

8th IEEE International Conference on Big Data Computing Service and Applications, BigDataService 2022

作者： Ng, Max Jagetiya, Darshit Gao, Xing Shi, Haoran Gao, Jerry Liu, Jia San José State University Department of Applied Data Science San JoseCA United States San José State University Department of Computer Engineering San JoseCA United States Jilin Engineering Normal University Department of Electrical and Information Engineeringm Changchun China

ISBN: (数字)9781665458900

ISBN: (纸本)9781665458900

Autonomous driving has received much attention in academia and industries in recent years. Researchers incorporate different perceptions to detect vehicles, objects, routes, and lighting. However, few publications focus on road signs on pavement surface. This paper aims at creating a dataset with 10,000 images of U.S. road markings from similar datasets, web scraping, and raw driving footage in California. In addition, this paper proposes an ensemble deep learning model as a component to autonomous driving systems to allow real time detection of road markings and other objects. The proposed ensemble model is based on four modified models, including improved CenterNet, improved EfficientDet-D1, improved SSD and improved YOLOv4. Finally, the report experiments show that the proposed ensemble model classification of mobile objects on roads for autonomous vehicles. © 2022 IEEE.

关键词： computer vision

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Application of Deep Learning for Image Sequence Classification

Application of Deep Learning for Image Sequence Classificati...

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International Conference on System Modeling & Advancement in Research Trends (SMART)

作者： Arpit Jain Anurag Gupta Alok Singh Sengar Ratnesh Kumar Shukla Abhishek Jain Computer Science & Engineering College of Computing Science & Information Technology Moradabad UP India Computer Science & Engineeringm Roorkee Institute of Technology Roorkee UK India

ISBN: (纸本)9781665439718

关键词： Legged locomotion Deep learning Computational modeling Surveillance Dogs Feature extraction Image sequences

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SDLM: Source detection based local monitoring in wireless sensor networks 35

SDLM: Source detection based local monitoring in wireless se...

引用

35th IEEE Region 10 Conference, TENCON 2015

作者： Prathap, U. Nisha, K.B. Deepa Shenoy, P. Venugopal, K.R. Department of Computer Science and Engineeringm University Visvesvaraya College of Engineering Bangalore University India

ISBN: (纸本)9781479986415

Security in wireless sensor networks is critical due to its way of open communication. Local monitoring is one of the powerful technique to secure the data and detect various malicious activities. In local monitoring, neighbour nodes observe the communication between current sender, current receiver and next hop receiver to detect the malicious activity. To make sensors power efficient, sleep-wake scheduling algorithms along with local monitoring are suggested in literature. Solutions in the literature do not address the problem if source node is malicious and do not consider unnecessary wake up of the nodes as malicious activity. This paper tries to achieve without assuming source node as honest and considers unnecessary wake up of the node as a malicious activity. Simulated the algorithm in NS-2 and performance analysis is discussed. Even with additional checks applied to detect malicious activities, analytical results show no degradation in the performance. © 2015 IEEE.

关键词： Scheduling algorithms

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Floorplanning with consideration of white space resource distribution for repeater planning

Floorplanning with consideration of white space resource dis...

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6th International Symposium on Quality Electronic Design, ISQED 2005

作者： Chen, Song Hong, Xianlong Dong, Sheqin Ma, Yuchun Cheng, Chung-Kuan Department of Computer Science and Technology Tsinghua Univ. China Department of Computer Science and Engineeringm Univ. of California San Diego United States University of Kitakyushu Japan

ISBN: (纸本)0769523013

In this paper, we proposed an effective and efficient model to evaluate the while space resource distribution in the floorplan/placement. The model discretizes the chip with a homogeneous rectangular mesh, in which the cost of each grid depends on the white space area and the routing congestion. The model has received application in our floorplanner to plan a good white space resource distribution to favor the later stage of repeater planning. On the other hand, non-zero area white-space blocks, which will join the formation of floorplan configurations, are introduced to adjust the amount and distribution of white space resources. Finally, a novel graph-based repeater assignment algorithm is devised to achieve the repeater planning. The number of nets failing to meet the repeater insertion constraint is reduced by 15.6 % on penalty of 2.2 % area usage reduction. © 2005 IEEE.

关键词： Graphic methods

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