2021 International Carnahan Conference on Security Technology (ICCST)最新文献_第2页

Comparative Study of Cryptographic and Biometric Signatures 密码与生物特征签名的比较研究

2021 International Carnahan Conference on Security Technology (ICCST) Pub Date : 2021-10-11 DOI: 10.1109/ICCST49569.2021.9717373

V. Smejkal, J. Kodl

{"title":"Comparative Study of Cryptographic and Biometric Signatures","authors":"V. Smejkal, J. Kodl","doi":"10.1109/ICCST49569.2021.9717373","DOIUrl":"https://doi.org/10.1109/ICCST49569.2021.9717373","url":null,"abstract":"The paper compares the two primary methods of electronic signature: (a) cryptographic electronic signature (CES), and b) dynamic biometric signature (DBS) in terms of key features such as: data used for signature, the possibility of counterfeiting, theft or misuse of the signature, time limitations of signature, test if signing person is alive, environmental influences during signing process, verification checks of signature authenticity, security of methods, ability to verify document integrity, necessity of use of special devices, complexity of implementation, ease of deployment in organization, simplicity of use for users, level of general method acceptance, limitations from the point of view of personal data protection and limitations determined in specific legal acts. Based on many practical observations the listed properties of both methods were scored. The results showed that both types of signatures were satisfactory in all of the above mentioned criteria, however, the overall score was higher in case of DBS. The EU legislation currently prefers CES over DBS by placing the signatures based on a qualified certificate within a hierarchy of signatures higher than the signatures created without using these certificates. Despite the fact that the possibility of separating certificates from the signing person can be considered as a major weakness of this method. The strong preference of CES has neither legal nor technological justification because the requirements for signatures in electronic documents are much stricter than for signature on paper. According to the authors, DBS should be considered more as a traditional signing method that is supplemented by indisprovable attributes in the form of a biometric trace unique to each person.","PeriodicalId":101539,"journal":{"name":"2021 International Carnahan Conference on Security Technology (ICCST)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134407627","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

Emotional analysis of safeness and risk perception of transports and travels by car and motorcycle in London and Rome during the COVID-19 pandemic COVID-19大流行期间伦敦和罗马交通工具和汽车和摩托车旅行的安全性和风险认知的情感分析

2021 International Carnahan Conference on Security Technology (ICCST) Pub Date : 2021-10-11 DOI: 10.1109/ICCST49569.2021.9717374

F. Garzia, F. Borghini, Antonio Moretti, M. Lombardi, S. Ramalingam

引用次数: 2

The Variable Reflective Properties of UK Number Plates and Impact on ANPR 英国车牌的可变反射特性及其对ANPR的影响

2021 International Carnahan Conference on Security Technology (ICCST) Pub Date : 2021-10-11 DOI: 10.1109/ICCST49569.2021.9717378

Mike Rhead, Robert Gurney, W. E. Martin

引用次数: 2

Emotional analysis of safeness and risk perception of drones during the COVID-19 pandemic in Italy 意大利新冠肺炎疫情期间无人机安全性与风险感知的情感分析

2021 International Carnahan Conference on Security Technology (ICCST) Pub Date : 2021-10-11 DOI: 10.1109/ICCST49569.2021.9717398

F. Garzia, F. Borghini, A. Castagnolo, M. Lombardi, S. Ramalingam

引用次数: 3

Underwater Mine Detection Using Histogram of oriented gradients and Canny Edge Detector 基于定向梯度直方图和Canny边缘检测器的水下水雷探测

2021 International Carnahan Conference on Security Technology (ICCST) Pub Date : 2021-10-11 DOI: 10.1109/ICCST49569.2021.9717404

S. Manonmani, L. Akshita, L. AnnetteShajan, L. AneeshSidharth, S. Rangaswamy

{"title":"Underwater Mine Detection Using Histogram of oriented gradients and Canny Edge Detector","authors":"S. Manonmani, L. Akshita, L. AnnetteShajan, L. AneeshSidharth, S. Rangaswamy","doi":"10.1109/ICCST49569.2021.9717404","DOIUrl":"https://doi.org/10.1109/ICCST49569.2021.9717404","url":null,"abstract":"For the naval defense forces, underwater mines pose a serious threat to safety and security to their lives and property. Studies conducted in this field which used side scan sonar imagery have not yielded sufficient accuracy for the detection of underwater mines and hence can lead to false alarms. In this paper feature extraction methods-Histogram of oriented gradients and edge-based feature extraction are used. These methods were chosen as they have shown very high accuracy in other studies which used different datasets. The data undergoes preprocessing-resizing and converting to grayscale images-after which the feature extraction method is applied. To classify whether the image contains a mine or not, template matching and classification methods feature vectors are used. It was found that this method yields high accuracy for the detection of mines. This same study can be extended for other object detection methods. The method followed here can help the naval defense in more accurate detection hence minimizing the damage which can be incurred in case of contact with a mine.","PeriodicalId":101539,"journal":{"name":"2021 International Carnahan Conference on Security Technology (ICCST)","volume":"198 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123855292","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: 2

IoT Security with QoS: Game changer for Industry and STEM Education 具有QoS的物联网安全:工业和STEM教育的游戏规则改变者

2021 International Carnahan Conference on Security Technology (ICCST) Pub Date : 2021-10-11 DOI: 10.1109/ICCST49569.2021.9717385

M. Jamro

引用次数: 1

Assessment of Foreign Trailer Number Plates on UK Roads, Implications for ANPR 评估英国道路上的外国拖车号牌，对ANPR的影响

2021 International Carnahan Conference on Security Technology (ICCST) Pub Date : 2021-10-11 DOI: 10.1109/ICCST49569.2021.9717391

Robert Gurney, Mike Rhead, W. E. Martin

引用次数: 0

One vs. One Offline Signature Verification: A Forensic Handwriting Examiners Perspective 一对一离线签名验证:法医笔迹鉴定人的视角

2021 International Carnahan Conference on Security Technology (ICCST) Pub Date : 2021-10-11 DOI: 10.1109/ICCST49569.2021.9717381

Moisés Díaz, J. B. Alonso, M. A. Ferrer-Ballester, Cristina Carmona

{"title":"One vs. One Offline Signature Verification: A Forensic Handwriting Examiners Perspective","authors":"Moisés Díaz, J. B. Alonso, M. A. Ferrer-Ballester, Cristina Carmona","doi":"10.1109/ICCST49569.2021.9717381","DOIUrl":"https://doi.org/10.1109/ICCST49569.2021.9717381","url":null,"abstract":"Verifying the authorship of a questioned signature is a common task for forensic handwriting examiners. While the automatic systems are typically orientated to improve performance, their practical utility for forensics is not always guaranteed. In this paper, we propose an offline automatic signature verifier oriented to forensic handwriting examiners. Our design is based on likelihood ratios which translate the signature verification results into objective and understandable evidence for a jury in a courtroom. The likelihood ratios depend on a universal background model build with signatures from other users and distance measures between signature handcrafted features. These features can be more interpretable for forensics, even though others can be included in our verifier, like deep learning ones. In our experiments, a single signature was used as reference. Two universal background models have been developed - the first is based on the GPDS database, and the second on synthetic signatures. The scheme is tried and tested with signatures from MCYT75 and BiosecureID databases with promising results. The outcome of this work is an offline signature verifier for forensic handwriting examiner practice.","PeriodicalId":101539,"journal":{"name":"2021 International Carnahan Conference on Security Technology (ICCST)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129392094","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

Intelligent Video Surveillance Systems 智能视频监控系统

2021 International Carnahan Conference on Security Technology (ICCST) Pub Date : 2021-10-11 DOI: 10.1109/ICCST49569.2021.9717400

V. Chundi, Jnaneswar Bammidi, Abhijith Pegallapati, Yogesh Parnandi, Aswini Reddithala, Suresh Kumar Moru

引用次数: 1

Use of detection of suspicious behavior in ensuring the security of persons in transport 利用侦测可疑行为来确保运输中人员的安全

2021 International Carnahan Conference on Security Technology (ICCST) Pub Date : 2021-10-11 DOI: 10.1109/ICCST49569.2021.9717399

Krystyna Ljubymenko, Dora Kotkova, Tereza Sternova

引用次数: 0