A Study on Automatic Latent Fingerprint Identification System

Latent fingerprints are the unintentional impressions found at the crime scenes and are considered crucial evidence in criminal identification. Law enforcement and forensic agencies have been using latent fingerprints as testimony in courts. However, since the latent fingerprints are accidentally leftover on different surfaces, the lifted prints look inferior. Therefore, a tremendous amount of research is being carried out in automatic latent fingerprint identification to improve the overall fingerprint recognition performance. As a result, there is an ever-growing demand to develop reliable and robust systems. In this regard, we present a comprehensive literature review of the existing methods utilized in latent fingerprint acquisition, segmentation, quality assessment, enhancement, feature extraction, and matching steps. Later, we provide insight into different benchmark latent datasets available to perform research in this area. Our study highlights various research challenges and gaps by performing detailed analysis on the existing state-of-the-art segmentation, enhancement, extraction, and matching approaches to strengthen the research

A Fuzzy Logic-based Control System for Microwave Ovens

Conventional microwave ovens rely on users for their cooking time. In other words, the user must set the oven’s cooking time manually. This paper aims to design a fuzzy logicbased controller to resolve the above-mentioned issue by determining the cooking time of the microwave oven automatically. The time determined depends on the quantity and type of food. During the fuzzy logic process, we used the Mamdani fuzzy model. This model involves determining the crisp input, fuzzification, rule evaluation, and defuzzification, to obtain the crisp output result. Input real variables used were the type of food and quantity of food, whereas the output variable used was cooking time. A fuzzy logic toolbox on MATLAB software was used to design and simulate the whole system. Considering the IF-THEN rules and functions, we used the value of food as 50, and the type of food as 50 and we obtained the cooking time as 25 minutes. The result showed that Fuzzy models are good at determining cooking time in Microwave ovens and that their cooking time depends on the inputs. Using fuzzy logic in microwave ovens helps to maintain food quality, saves users’ time, and controls the energy used by the ove

FASTCloud: A framework of assessment and selection for trustworthy cloud service based on QoS

By virtue of technology and benefit advantages, cloud computing has increasingly attracted a large number of potential cloud consumers (PCC) plan to migrate the traditional business to the cloud service. However, trust has become one of the most challenging issues that prevent the PCC from adopting cloud services, especially in trustworthy cloud service selection. Besides, due to the diversity and dynamic of quality of service (QoS) in the cloud environment, the existing trust assessment methods based on the single constant value of QoS attribute and the subjective weight assignment are not good enough to provide an effective solution for PCCs to identify and select a trustworthy cloud service among a wide range of functionally-equivalent cloud service providers (CSPs). To address the challenge, a novel assessment and selection framework for trustworthy cloud service, FASTCloud, is proposed in this study. This framework facilitates PCCs to select a trustworthy cloud service based on their actual QoS requirements. In order to accurately and efficiently assess the trust level of cloud services, a QoS-based trust assessment model is proposed. This model represents a trust level assessment method based on the interval multiple attributes with an objective weight assignment method based on the deviation maximization to adaptively determine the trust level of different cloud services provisioned by candidate CSPs. The advantage of the proposed trust level assessment method in time complexity is demonstrated by the performance analysis and comparison. The experimental result of a case study with an open-source dataset shows that the trust model is efficient in cloud service trust assessment and the FASTCloud can effectively help PCCs select a trustworthy cloud service

Extended Abstracts of the Second Privacy Enhancing Technologies Convention (PET-CON 2008.1)

PET-CON, the Privacy Enhancing Technologies Convention, is a forum for researchers, students, developers, and other interested people to discuss novel research, current developments and techniques in the area of Privacy Enhancing Technologies. PET-CON was first conceived in June 2007 at the 7th International PET Symposium in Ottawa, Canada. The idea was to set up a bi-annual convention in or nearby Germany to be able to meet more often than only once a year at some major conference

Collected Papers (Neutrosophics and other topics), Volume XIV

This fourteenth volume of Collected Papers is an eclectic tome of 87 papers in Neutrosophics and other fields, such as mathematics, fuzzy sets, intuitionistic fuzzy sets, picture fuzzy sets, information fusion, robotics, statistics, or extenics, comprising 936 pages, published between 2008-2022 in different scientific journals or currently in press, by the author alone or in collaboration with the following 99 co-authors (alphabetically ordered) from 26 countries: Ahmed B. Al-Nafee, Adesina Abdul Akeem Agboola, Akbar Rezaei, Shariful Alam, Marina Alonso, Fran Andujar, Toshinori Asai, Assia Bakali, Azmat Hussain, Daniela Baran, Bijan Davvaz, Bilal Hadjadji, Carlos Díaz Bohorquez, Robert N. Boyd, M. Caldas, Cenap Özel, Pankaj Chauhan, Victor Christianto, Salvador Coll, Shyamal Dalapati, Irfan Deli, Balasubramanian Elavarasan, Fahad Alsharari, Yonfei Feng, Daniela Gîfu, Rafael Rojas Gualdrón, Haipeng Wang, Hemant Kumar Gianey, Noel Batista Hernández, Abdel-Nasser Hussein, Ibrahim M. Hezam, Ilanthenral Kandasamy, W.B. Vasantha Kandasamy, Muthusamy Karthika, Nour Eldeen M. Khalifa, Madad Khan, Kifayat Ullah, Valeri Kroumov, Tapan Kumar Roy, Deepesh Kunwar, Le Thi Nhung, Pedro López, Mai Mohamed, Manh Van Vu, Miguel A. Quiroz-Martínez, Marcel Migdalovici, Kritika Mishra, Mohamed Abdel-Basset, Mohamed Talea, Mohammad Hamidi, Mohammed Alshumrani, Mohamed Loey, Muhammad Akram, Muhammad Shabir, Mumtaz Ali, Nassim Abbas, Munazza Naz, Ngan Thi Roan, Nguyen Xuan Thao, Rishwanth Mani Parimala, Ion Pătrașcu, Surapati Pramanik, Quek Shio Gai, Qiang Guo, Rajab Ali Borzooei, Nimitha Rajesh, Jesús Estupiñan Ricardo, Juan Miguel Martínez Rubio, Saeed Mirvakili, Arsham Borumand Saeid, Saeid Jafari, Said Broumi, Ahmed A. Salama, Nirmala Sawan, Gheorghe Săvoiu, Ganeshsree Selvachandran, Seok-Zun Song, Shahzaib Ashraf, Jayant Singh, Rajesh Singh, Son Hoang Le, Tahir Mahmood, Kenta Takaya, Mirela Teodorescu, Ramalingam Udhayakumar, Maikel Y. Leyva Vázquez, V. Venkateswara Rao, Luige Vlădăreanu, Victor Vlădăreanu, Gabriela Vlădeanu, Michael Voskoglou, Yaser Saber, Yong Deng, You He, Youcef Chibani, Young Bae Jun, Wadei F. Al-Omeri, Hongbo Wang, Zayen Azzouz Omar

Сучасні підходи до розв'язання задач комп'ютерного зору

Наведено структурований огляд сучасних методів розв’язання задач комп’ютерного зору, їх переваг та недоліків, і визначення невирішених проблем. Цей напрямок швидко прогресує, що пов’язано зі збільшенням обчислювальної потужності комп’ютерів, а також підключенням до дослідження таких гігантів IT індустрії, як Google і Microsoft. Розглянуто абсолютно різні за своєю природою підходи: підхід на основі нечіткої логіки; підхід на базі згорткових нейронних мереж та глибокого навчання; підхід з використанням детекторів і дескрипторів. Розглядається не тільки точність алгоритмів, але і їх швидкодія та затрати пам’яті, що відіграють важливу роль для вбудованих систем (безпілотних літальних апаратів, мобільних пристроїв, роботизованих та супутникових систем).Цель. Количество наработок в области компьютерного зрения увеличивается экспоненциально и выбор подходящего инструмента — непростая задача. Цель данной статьи — представить структурированный обзор современных технологий компьютерного зрения с их преимуществами и недостатками, а также идентифицировать нерешенные проблемы. Методы. Нечеткая логика, сверточные нейронные сети, детекторы и дескрипторы ключевых точек. Результаты. Теория нечеткой логики вывела распознавание на качественно новый уровень представив новый фреймворк для работы со сложными и неопределенными системами. Введение нечетких множеств второго типа значительно улучшило точность и устойчивость алгоритмов. Основными преимуществами систем на базе нечеткой логики являются использование знаний эксперта и интерпретируемость финальной модели. Сейчас этот метод часто используется для решения задач сегментации и фильтрации изображений.Purpose. The number of developments in the field of computer vision increases exponentially and staying up to date is not an easy task. There is a wide variety of existing approaches and choosing the right one can be difficult. The goal of this paper is to present a structured overview of modern techniques in the field of computer vision with their advantages and disadvantages, and identification of unresolved problems. Accuracy is not the only quality measure considered, we also take speed and memory into account, which is critical for embedded systems (unmanned aerial vehicles, mobile devices, robotic and satellite systems). Methods. Fuzzy logic, convolutional neural networks, feature detectors and descriptors. Results. Fuzzy logic theory has led recognition to a completely new level by presenting a new methodological and algorithmic framework for working with complex and uncertain systems. Introduction of type-2 fuzzy sets has significantly improved accuracy and robustness. Their main advantages are the use of expert’s knowledge and interpretability of fuzzy logic models. Now fuzzy logic is mainly used as a complement for other systems with the aim to improve decision making process by handling the uncertainty. Researchers often employ this technique for solving image segmentation and filtering problems

Cybersecurity and the Digital Health: An Investigation on the State of the Art and the Position of the Actors

Cybercrime is increasingly exposing the health domain to growing risk. The push towards a strong connection of citizens to health services, through digitalization, has undisputed advantages. Digital health allows remote care, the use of medical devices with a high mechatronic and IT content with strong automation, and a large interconnection of hospital networks with an increasingly effective exchange of data. However, all this requires a great cybersecurity commitment—a commitment that must start with scholars in research and then reach the stakeholders. New devices and technological solutions are increasingly breaking into healthcare, and are able to change the processes of interaction in the health domain. This requires cybersecurity to become a vital part of patient safety through changes in human behaviour, technology, and processes, as part of a complete solution. All professionals involved in cybersecurity in the health domain were invited to contribute with their experiences. This book contains contributions from various experts and different fields. Aspects of cybersecurity in healthcare relating to technological advance and emerging risks were addressed. The new boundaries of this field and the impact of COVID-19 on some sectors, such as mhealth, have also been addressed. We dedicate the book to all those with different roles involved in cybersecurity in the health domain

Cyber Security and Critical Infrastructures 2nd Volume

The second volume of the book contains the manuscripts that were accepted for publication in the MDPI Special Topic "Cyber Security and Critical Infrastructure" after a rigorous peer-review process. Authors from academia, government and industry contributed their innovative solutions, consistent with the interdisciplinary nature of cybersecurity. The book contains 16 articles, including an editorial that explains the current challenges, innovative solutions and real-world experiences that include critical infrastructure and 15 original papers that present state-of-the-art innovative solutions to attacks on critical systems

Technical Strategies Database Managers use to Protect Systems from Security Breaches

Healthcare organizations generate massive amounts of data through their databases that may be vulnerable to data breaches due to extensive user privileges, unpatched databases, standardized query language injections, weak passwords/usernames, and system weaknesses. The purpose of this qualitative multiple case study was to explore technical strategies database managers in Southeast/North Texas used to protect database systems from data breaches. The target population consisted of database managers from 2 healthcare organizations in this region. The integrated system theory of information security management was the conceptual framework. The data collection process included semistructured interviews with 9 database managers, including a review of 14 organizational documents. Data were put into NVivo 12 software for thematic coding. Coding from interviews and member checking was triangulated with corporate documents to produce 5 significant themes and 1 subtheme: focus on verifying the identity of users, develop and enforce security policies, implement efficient encryption, monitor threats posed by insiders, focus on safeguards against external threats, and a subtheme derived from vulnerabilities caused by weak passwords. The findings from the study showed that the implementation of security strategies improved organizations\u27 abilities to protect data from security incidents. Thus, the results may be applied to create social change, decreasing the theft of confidential data, and providing knowledge as a resource to accelerate the adoption of technical approaches to protect database systems rom security incidents