2021 2nd International Conference on Range Technology (ICORT)最新文献_第4页

Comparison of Deep Learning Classification Based Methods with Hyper Parameter Tuning on Hyperspectral Imagery 基于深度学习分类的超参数调优方法在高光谱图像上的比较

2021 2nd International Conference on Range Technology (ICORT) Pub Date : 2021-08-05 DOI: 10.1109/ICORT52730.2021.9582093

Indira Bidari, Satyadhyan Chickerur, G. S. Soumya, H. Sushmita, Rekha.M. Talikoti, S. Smita

引用次数: 0

Prevention of SQL Injection Attacks using Query Hashing Technique 利用查询哈希技术防止SQL注入攻击

2021 2nd International Conference on Range Technology (ICORT) Pub Date : 2021-08-05 DOI: 10.1109/ICORT52730.2021.9581804

Yash Swarup, Anuj Kumar, A. Tyagi, Vimal Kumar

{"title":"Prevention of SQL Injection Attacks using Query Hashing Technique","authors":"Yash Swarup, Anuj Kumar, A. Tyagi, Vimal Kumar","doi":"10.1109/ICORT52730.2021.9581804","DOIUrl":"https://doi.org/10.1109/ICORT52730.2021.9581804","url":null,"abstract":"Web applications are a vital part of day-to-day life. Many critical services like shopping, health, banking, data communication and transport are partly or completely dependent on the Internet. Simultaneously, different kinds of the attacks in the network are introduced by various kinds of attacker. One of the important security attacks is SQL injection. It is a web application vulnerability by which an attacker can get unauthorized access to the database of a website. With the help of SQL injection an attacker can take control of any website if attacker is able to get the credentials of the administrator of the website. In some cases, an attacker may access, delete or modify the data in the database that may cause permanent changes in the applications' content or behavior. In this paper, we have proposed a new technique to prevent SQL Injection attacks by comparing the hash value of the generated query with the hashed value of the legitimate query. Our scheme can be easily added to any prebuilt website build using any language or database type as it requires only few changes to be made in the code of the language.","PeriodicalId":344816,"journal":{"name":"2021 2nd International Conference on Range Technology (ICORT)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133313234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Scene simulation and modeling of InfraRed search and track sensor for air-borne long range point targets 机载远程点目标红外搜索跟踪传感器的场景仿真与建模

2021 2nd International Conference on Range Technology (ICORT) Pub Date : 2021-08-05 DOI: 10.1109/ICORT52730.2021.9581635

O. P. Naraniya, Sandeep Kumar, Ajay Kumar

引用次数: 2

Experimental Demonstration of 35 GHz RF -over-Fiber Silicon- Photonics Link 35ghz光纤硅光子学链路的实验演示

2021 2nd International Conference on Range Technology (ICORT) Pub Date : 2021-08-05 DOI: 10.1109/ICORT52730.2021.9581881

Vijay Kumar, S. Selvaraja, G. Saravanan, S. Bhalke

引用次数: 0

Performance Comparison of EKF and UKF for Estimation of COE using Kozai Mechanism 利用Kozai机制估计COE的EKF和UKF性能比较

2021 2nd International Conference on Range Technology (ICORT) Pub Date : 2021-08-05 DOI: 10.1109/ICORT52730.2021.9581421

Jay Shankar Nanda, Shrabani Ghosh

引用次数: 2

iLid: IoT-Assisted Low-Cost and Scalabel Inventory-Management System iLid:物联网辅助低成本可扩展库存管理系统

2021 2nd International Conference on Range Technology (ICORT) Pub Date : 2021-08-05 DOI: 10.1109/ICORT52730.2021.9581806

Chandra Shekhar, Rishikesh Vepura, Sudipta Saha

{"title":"iLid: IoT-Assisted Low-Cost and Scalabel Inventory-Management System","authors":"Chandra Shekhar, Rishikesh Vepura, Sudipta Saha","doi":"10.1109/ICORT52730.2021.9581806","DOIUrl":"https://doi.org/10.1109/ICORT52730.2021.9581806","url":null,"abstract":"Management of inventory is an extremely important issue in our day-to-day life. Starting from the kitchen, workshop, to retail stores everywhere, it is very essential to keep enough stock of each of the required items. However, manual management of the inventory often fails to maintain an up-to-date status of the stock of all the items all the time. Existing solutions based on RFID tags, weight-sensors-based automated measurements, etc. are not scalabel. A solution for smart-inventory management should support a plug-and-play installation and operation which is largely missing in the existing solutions too. Finally, appropriate coordination with the host systems such as smart-home or smart-retail management, etc. is also an important need which the existing solutions fail to achieve efficiently. In this work we propose the design of iLid, an IoT-assisted smart-inventory management system, to satisfy all these above mentioned needs in a cost-effective way. We take the help of low-power IoT-devices equipped with low-resolution cameras to realize an automated scalabel and cost-effective inventory management system. Automated measurement of the quantity of each individual item in the inventory as well as efficient collection of the measurement data are two fundamental components in iLid. In this paper, through extensive evaluation study we demonstrate that iLid can carry out quantity measurement efficiently with an average accuracy of 98%. Through simulation we also show that the data collection module of iLid is highly energy and time efficient as well as scalabel.","PeriodicalId":344816,"journal":{"name":"2021 2nd International Conference on Range Technology (ICORT)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125663800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Stacked Ensemble Learning Based Approach for Anomaly Detection in IoT Environment 基于堆叠集成学习的物联网环境异常检测方法

2021 2nd International Conference on Range Technology (ICORT) Pub Date : 2021-08-05 DOI: 10.1109/ICORT52730.2021.9581549

Neel Gandhi

{"title":"Stacked Ensemble Learning Based Approach for Anomaly Detection in IoT Environment","authors":"Neel Gandhi","doi":"10.1109/ICORT52730.2021.9581549","DOIUrl":"https://doi.org/10.1109/ICORT52730.2021.9581549","url":null,"abstract":"Machine learning based anomaly detection systems have gained prominence in field of Internet of Things (IoT) due to their effectiveness in dealing with security and privacy issues. Internet of things has manifold applications possible with aid of effective integration of sensors, databases, machines and services at work. Due to increasing use of IoT-based architectures, attacks and anomaly detection has become a crucial part for functioning of IoT. The basic goal of an anomaly detection system is to verify whether the behavior of the system is normal or unfaithful actions are being taken by system. Anomaly detection systems are used for detection of attacks and anomalies right from denial-of-service to malicious operations that may cause disruption to IoT-based systems. A variety of machine learning algorithms have been used for the purpose of anomaly and attack detection. In this paper, we analyzed different machine learning algorithms and compared it against our proposed Stacked ensemble learning model. Evaluation metrics used for comparison of various machine learning algorithms against our proposed stacked ensemble learning model include F1 score, precision, accuracy, recall, and area under ROC curve. The proposed system is found to have an accuracy of 99.8% that is superior in comparison to most traditional machine learning algorithms. The proposed stacked ensemble learning model could be effectively used for improving the existing anomaly detection system.","PeriodicalId":344816,"journal":{"name":"2021 2nd International Conference on Range Technology (ICORT)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128089225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A Human Intruder Detection System for Restricted Sensitive Areas 一种限制敏感区域的人类入侵检测系统

2021 2nd International Conference on Range Technology (ICORT) Pub Date : 2021-08-05 DOI: 10.1109/ICORT52730.2021.9582099

N. Chandra, S. Panda

{"title":"A Human Intruder Detection System for Restricted Sensitive Areas","authors":"N. Chandra, S. Panda","doi":"10.1109/ICORT52730.2021.9582099","DOIUrl":"https://doi.org/10.1109/ICORT52730.2021.9582099","url":null,"abstract":"The development of an automated intruder detection system for restricted sensitive areas or unattended border areas is a major concern for national security perspective to avoid illegal entries of outsiders to those areas. Due to the larger radius of those areas, it is quite difficult to keep track of the activities through a manual human tracking process at regular intervals for periodic monitoring. Also, the safety of the people involved in the manual supervision process by visiting the sites is of major concern while no prior information is available on any intruder already entered that place. This work focuses on the development of an automatic human intruder detection system that can detect illegal entries of humans in restricted areas and can report to the control room in time. The model presented uses the YOLO Model to detect human objects in videos captured by cameras with some standard resolution. A number of experiments were conducted to evaluate the performance of the model under different contexts. The results obtained show the efficiency of the model in detecting human objects over other objects in the captured videos with an accuracy of approximately 96% in the considered environmental conditions.","PeriodicalId":344816,"journal":{"name":"2021 2nd International Conference on Range Technology (ICORT)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126792488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Novel Approach to Evaluate Sea Clutter and Detection of a Supersonic Sea Skimming Target by FMCW Radar Ranging in High Velocity Platform 高速平台FMCW雷达测距海杂波评估与超声速掠海目标探测新方法

2021 2nd International Conference on Range Technology (ICORT) Pub Date : 2021-08-05 DOI: 10.1109/ICORT52730.2021.9582030

P. Saha, Bhupesh Kumar Sahu, Jai Hind

{"title":"A Novel Approach to Evaluate Sea Clutter and Detection of a Supersonic Sea Skimming Target by FMCW Radar Ranging in High Velocity Platform","authors":"P. Saha, Bhupesh Kumar Sahu, Jai Hind","doi":"10.1109/ICORT52730.2021.9582030","DOIUrl":"https://doi.org/10.1109/ICORT52730.2021.9582030","url":null,"abstract":"Radar ranging is an important aspect in detecting target in the presence of sea clutter. Problem becomes more challenging when the target to be detected is supersonic in nature. For RF proximity sensor in naval application such ranging becomes more difficult as the platform has a velocity in terminal phase, which is often in the sonic range. So (response) latent time should be in sub-milliseconds asking for a very simple yet effective signal processing. Presence of sea clutter hides the actual target under the noise floor. Increasing number of FFT points or ADC bit resolution used for spectrum analysis is a solution but it asks for increasing resources which cannot be fitted in a very limited size and power resources available in the sensor. The size and environmental force restriction poses design in terms of miniaturized radar g-hardening. The process of g-hardening to cater environmental forces is a commendable task as it also influences RF performance. This paper presents a novel approach to numerically evaluate the sea clutter in connection with the Doppler scenario for both sensor platform and supersonic target. Its influences on spectral form are also analyzed with different parameters as variable. Target detection and its suitable conditioning are also taken into account.","PeriodicalId":344816,"journal":{"name":"2021 2nd International Conference on Range Technology (ICORT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131530008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Metasurface-based Wideband Multilayer Antenna Incorporated with Holey Superstrate for S-band Applications 基于超表面的s波段多孔层宽带多层天线

2021 2nd International Conference on Range Technology (ICORT) Pub Date : 2021-08-05 DOI: 10.1109/ICORT52730.2021.9581529

M. Ameen, R. Chaudhary

引用次数: 0