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Assessment of Information Security Management system based on ISO/IEC 27001:2013 On Subdirectorate of Data Center and Data Recovery Center in Ministry of Internal Affairs 2

Assessment of Information Security Management System based o...

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2nd International Conference on Energy, Environmental and Information system, ICENIS 2017

作者： Kurnianto, Ari Isnanto, Rizal Widodo, Aris Puji Magister of Information System Diponegoro University Semarang Indonesia Department of Computer Systems Engineering Diponegoro University Semarang Indonesia Physics Department of Science and Mathematics Faculty Diponegoro University Semarang Indonesia

Information security is a problem effected business process of an organization, so it needs special concern. Information security assessment which is good and has international standard is done using Information Security Management system (ISMS) ISO/IEC 27001:2013. In this research, the high level assessment has been done using ISO/IEC 27001:2013 to observe the strength of information secuity in Ministry of Internal Affairs. The research explains about the assessment of information security management which is built using PHP. The input data use primary and secondary data which passed observation. The process gets maturity using the assessment of ISO/IEC 27001:2013. GAP Analysis observes the condition now a days and then to get recommendation and road map. The result of this research gets all of the information security process which has not been already good enough in Ministry of Internal Affairs, gives recommendation and road map to improve part of all information system being running. It indicates that ISO/IEC 27001:2013 is good used to rate maturity of information security management. As the next analyzation, this research use Clause and Annex in ISO/IEC 27001:2013 which is suitable with condition of Data Center and Data Recovery Center, so it gets optimum result and solving problem of the weakness information security. © 2018 The Authors, published by EDP sciences.

关键词： Security of data

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A Decade of Soft Computing Approaches in Power system Investment Planning

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Journal of Physics: Conference Series 2021年第1期1878卷

作者： S B Yaakob A S F Rahman N M Mukhtar M N Yaakob N Arbaiy P-C Lin Control System Group (CSG) Faculty of Electrical Engineering Technology Universiti Malaysia Perlis Kampus Alam UniMAP Pauh Putra 02600 Arau Perlis Malaysia Institut Pendidikan Guru Malaysia Kampus Darul Aman Bandar Darul Aman Kedah 06000 Jitra Kedah Malaysia Faculty of Computer Science and Information Technology University Tun Hussein Onn Malaysia 86400 Batu Pahat Johor Malaysia Department of Information Engineering and Computer Science Feng Chia University No. 100 Wenhwa Rd. Seatwen Taichung 40724 Taiwan

This paper opens up an issue regarding to power system investment planning. In order to obtain a sustainable electricity supply, the power outage should be minimized. Maintenance cost plays as an essential element in investment planning, therefore misdirect investment should be avoided. Since soft computing can solved this problem, this paper offers a review in solving investment planning problem through such approaches. The main objective of this paper is to examine the concept and findings by the researchers in power system investment planning problem. Besides, this paper will highlight the most relevant contributions and limitations that can be improve in the other research. Finally, this paper will be pointed out some trends in power system investment planning problem.

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Reducing the Severity of Black Hole and DDoS Attacks in MANETs by Modifying AODV Protocol using MAC Authentication and Symmetric Encryption

Reducing the Severity of Black Hole and DDoS Attacks in MANE...

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International Conference on Telematics and Future Generation Networks (TAFGEN)

作者： Samia Khan Fazirulhisyam Hashim Mohd Fadlee A. Rasid Thinagaran Perumal Department of Computer and Communication Systems Engineering Faculty of Engineering Malaysia Department of Computer and Communication System Engineering Faculty of Engineering Malaysia Department of Computer and Communication Systems Engineering Faculty of Engineering Serdang Malaysia Department of Computer Science Faculty of Computer Science and Information Technology Serdang Malaysia

In Mobile Ad hoc Networks (MANET), Ad hoc On Demand Distance Vector (AODV) protocol suffers from the black hole attacks that disrupts the functionality of the network by displaying false information during routing process. Such an attack eventually affects the network performance. In this paper, an authentication mechanism based on lightweight encryption algorithm and Media Access Control (MAC) authentication are proposed for black hole and Distributed Denial of Service (DDoS) attacks. The proposed technique is validated in Network Simulator 2 (NS2) whose results show that the approach offers prompt route verification with high throughput and generating less routing overhead avoiding black hole attacks.

关键词： Ad hoc networks Mobile computing Routing computer crime Routing protocols Cryptography Servers

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Rice crop management expert system with forwarding chaining method and certainty factor

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Journal of Physics: Conference Series 2020年第1期1524卷

作者： Kharisma K Adi R R Isnanto Master of Information System School of postgraduate studies Diponegoro University Semarang Indonesia Department of Physics Faculty of Science and Mathematics Diponegoro University Semarang Indonesia Department of Computer Engineering Faculty of Engineering Diponegoro University Semarang Indonesia

Rice plants are one of the focuses on food sustainability so that an increase in rice production needs to be done. Farmers need information and knowledge to improve rice crop production by practicing good planting methods that begin with the selection of superior varieties of seeds and handling plant pests properly. The problem that arises is that assistance from agricultural specialists is not always available when farmers need it, making it difficult for farmers to consult experts according to their needs at any time. Therefore, in this study, an expert system was proposed which was able to help farmers to obtain information according to their needs. This research builds an expert system for the management of rice plants including the selection of rice seed varieties and handling pests of rice plants. The method used in this expert system is forward chaining and certainty factor. Knowledgebase data was obtained from experts in agricultural extension, experts on plant pest organisms and literature from the agricultural service. From this study, an expert system was produced that was able to provide information on the selection of seed varieties and pest of rice plants according to the conditions and needs of the users.

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Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review

arXiv

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arXiv 2020年

作者： Shoeibi, Afshin Khodatars, Marjane Jafari, Mahboobeh Ghassemi, Navid Sadeghi, Delaram Moridian, Parisa Khadem, Ali Alizadehsani, Roohallah Hussain, Sadiq Zare, Assef Sani, Zahra Alizadeh Khozeimeh, Fahime Nahavandi, Saeid Rajendra Acharya, U. Gorriz, Juan M. The Data Science and Computational Intelligence Institute University of Granada Spain The Computer Engineering Department Ferdowsi University of Mashhad Mashhad Iran Deakin University VIC3217 Australia The Faculty of Electrical Engineering K. N. Toosi University of Technology Tehran Iran System Administrator at Dibrugarh University Assam786004 India Faculty of Electrical Engineering Gonabad Branch Islamic Azad University Gonabad Iran Rajaie Cardiovascular Medical and Research Center Iran University of Medical Sciences Tehran Iran The School of Mathematics Physics and Computing University of Southern Queensland Springfield Australia Dept. of Psychiatry University of Cambridge United Kingdom

Coronavirus, or COVID-19, is a hazardous disease that has endangered the health of many people around the world by directly affecting the lungs. COVID-19 is a medium-sized, coated virus with a single-stranded RNA, and also has one of the largest RNA genomes and is approximately 120 nm. The X-Ray and computed tomography (CT) imaging modalities are widely used to obtain a fast and accurate medical diagnosis. Identifying COVID-19 from these medical images is extremely challenging as it is time-consuming and prone to human errors. Hence, artificial intelligence (AI) methodologies can be used to obtain consistent high performance. Among the AI methods, deep learning (DL) networks have gained popularity recently compared to conventional machine learning (ML). Unlike ML, all stages of feature extraction, feature selection, and classification are accomplished automatically in DL models. In this paper, a complete survey of studies on the application of DL techniques for COVID-19 diagnostic and segmentation of lungs is discussed, concentrating on works that used X-Ray and CT images. Additionally, a review of papers on the forecasting of coronavirus prevalence in different parts of the world with DL is presented. Lastly, the challenges faced in the detection of COVID-19 using DL techniques and directions for future research are discussed. © 2020, CC BY-NC-ND.

关键词： COVID-19

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Getting Places on Time: Smart Map Orientation Guide 4

Getting Places on Time: Smart Map Orientation Guide

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4th International Conference on Information Retrieval and Knowledge Management: Diving into Data sciences, CAMP 2018

作者： Liang, Liang Chee Samsudin, Noor Azah Mustapha, Aida Wahab, Mohd Helmy Abd Faculty of Computer Science and Information System Universiti Tun Hussein Onn Malaysia Batu Pahat Johor86400 Malaysia Faculty of Electrical and Electronic Engineering Universiti Tun Hussein Onn Malaysia Batu Pahat Johor86400 Malaysia

ISBN: (纸本)9781538638125

This paper proposes a Smart Orientation Guide that is designed to provide freshmen a mapping of directional guide for commonly used buildings within a university compound. The application is able to calculate the distance between two locations and displays the estimated arrival time for the user. The ability to detect the location is based on the GPS functionality provided on the smartphone while time is estimated based on the distance of route as well as the mode of transportation. Smart Orientation Guide is developed based on android platform using the prototyping methodology. Functionality and user acceptance tests were carried to evaluate the performance of the proposed application and the results showed a highly favorable response. The Smart Orientation Guide application is hoped to substitute the use of paper map on campus. It will certainly help users like new students, visitors or new staff to find places on the campus ground within a short period of time. © 2018 IEEE.

关键词： Global positioning system

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HARNESSING DIGITAL PATHOLOGY AND CAUSAL LEARNING TO IMPROVE EOSINOPHILIC ESOPHAGITIS DIETARY TREATMENT ASSIGNMENT

arXiv

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arXiv 2023年

作者： Aknin, Eliel Larey, Ariel Caldwell, Julie M. Collins, Margaret H. Rothenberg, Marc E. Savir, Yonatan Abonia, Juan P. Aceves, Seema S. Arva, Nicoleta C. Chehade, Mirna Dellon, Evan S. Gonsalves, Nirmala Gupta, Sandeep K. Leung, John Peterson, Kathryn A. Shoda, Tetsuo Spergel, Jonathan M. Department of Physiology Biophysics and System Biology Faculty of Medicine Technion Israel Institute of Technology Haifa Israel Faculty of Industrial Engineering Technion Israel Institute of Technology Haifa Israel Faculty of Computer Science Technion Israel Institute of Technology Haifa Israel Division of Allergy and Immunology Cincinnati Children's Hospital Medical Center CincinnatiOH United States Dept. of Pediatrics University of Cincinnati College of Medicine CincinnatiOH United States Division of Pathology and Laboratory Medicine Cincinnati Children's Hospital Medical Center CincinnatiOH United States Division of Allergy and Immunology University of California at San Diego Rady Children's Hospital San DiegoCA United States Dept. of Pathology and Laboratory Ann and Robert H Lurie Children's Hospital Northwestern University Feinberg School of Medicine ChicagoIL United States Mount Sinai Center for Eosinophilic Disorders Icahn School of Medicine at Mount Sinai New YorkNY United States Division of Gastroenterology and Hepatology University of North Carolina School of Medicine Chapel HillNC United States Division of Gastroenterology and Hepatology Northwestern University Feinberg School of Medicine ChicagoIL United States Division of Pediatric Gastroenterology Hepatology and Nutrition Children's of Alabama University of Alabama at Birmingham BirminghamAL United States Boston Specialists BostonMA United States Division of Gastroenterology University of Utah Salt Lake CityUT United States Division of Allergy and Immunology Children's Hospital of Philadelphia Dept. of Pediatrics Perelman School of Medicine The University of Pennsylvania PhiladelphiaPA United States

Eosinophilic esophagitis (EoE) is a chronic, food antigen-driven, allergic inflammatory condition of the esophagus associated with elevated esophageal eosinophils. EoE is a top cause of chronic dysphagia after GERD. Diagnosis of EoE relies on counting eosinophils in histological slides, a manual and time-consuming task that limits the ability to extract complex patient-dependent features. The treatment of EoE includes medication and food elimination. A personalized food elimination plan is crucial for engagement and efficiency, but previous attempts failed to produce significant results. In this work, on the one hand, we utilize AI for inferring histological features from the entire biopsy slide, features that cannot be extracted manually. On the other hand, we develop causal learning models that can process this wealth of data. We applied our approach to the 'Six-Food vs. One-Food Eosinophilic Esophagitis Diet Study', where 112 symptomatic adults aged 18-60 years with active EoE were assigned to either a six-food elimination diet (6FED) or a one-food elimination diet (1FED) for six weeks. Our results show that the average treatment effect (ATE) of the 6FED treatment compared with the 1FED treatment is not significant, that is, neither diet was superior to the other. We examined several causal models and show that the best treatment strategy was obtained using T-learner with two XGBoost modules. While 1FED only and 6FED only provide improvement for 35%-38% of the patients, which is not significantly different from a random treatment assignment, our causal model yields a significantly better improvement rate of 58.4%. This study illustrates the significance of AI in enhancing treatment planning by analyzing molecular features' distribution in histological slides through causal learning. Our approach can be harnessed for other conditions that rely on histology for diagnosis and treatment. Copyright © 2023, The Authors. All rights reserved.

关键词： Diagnosis

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Preface

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CEUR Workshop Proceedings 2022年 3091卷

作者： Kovalev, Igor Semenkin, Eugene Schwenker, Friedhelm Shaidurov, Vladimir Ganchev, Todor Škraba, Andrej Stanimirović, Predrag Kolehmainen, Mikko Kronberger, Gabriel Affenzeller, Michael Brester, Christina Ryzhikov, Ivan Kazakovtsev, Lev Sopov, Evgenii Semenkina, Maria Akhmedova, Shakhnaz Stanovov, Vladimir Krasnoyarsk Regional Science and Technology City Hall Department of Computer Science of Siberian Federal University Krasnoyarsk Russia Siberian Institute of Applied System Analysis named after A.N. Antamoshkin The Department ofsystem analysis and operations research of Reshetnev University Krasnoyarsk Russia Institute of Neural Information Processing Ulm University Ulm Germany The Institute of Computational Modeling SB RAS Krasnoyarsk Russia Technical University of Varna Varna Bulgaria University of Maribor UM Faculty of Organizational Sciences Cybernetics and Decision Support Systems Laboratory Slovenia Department of Computer Science Niš Serbia Department of Environmental and Biological Sciences Environmental Informatics University of Eastern Finland Kuopio Finland University of Applied Sciences Upper Austria Hagenberg Austria Department of Software Engineering School of Informatics Communications and Media University of Applied Sciences Upper Austria Hagenberg Austria University of Eastern Finland UEF · Department of Environmental Science Kuopio Finland The Department of Systems Analysis Reshetnev University of Science and Technology Krasnoyarsk Russia Siberian Institute of Applied System Analysis Krasnoyarsk Russia University of Applied Sciences Upper Austria and Softwarepark Hagenberg Austria Reshetnev Siberian States University of Science and Technology Siberian Institute of Applied System Analysis Krasnoyarsk Russia SibSAU · Institute of computer science and telecommunications Krasnoyarsk Russia

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Features and Behaviours Mapping In Model-based Testing in Software Product Line

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IOP Conference Series: Materials science and engineering 2020年第1期884卷

作者： Raduni Sulaiman DNA. Jawawi Shahliza Abdul Halim School of Computing Faculty of Engineering Universiti Teknologi Malaysia 81300 Skudai Johor Malaysia Faculty of Computer Science and Information System Universiti Tun Hussein Onn Malaysia 86400 Parit Raja Johor Malaysia

Testing in Software Product Line (SPL) is very hard task due to the high degree of variability that existed in products. Nowadays, many testing approaches have concern on reusability of technique. Feature Model (FM) is used to represent variability and commonality of products in SPL. The components of FM that represented as symbols caused the needs of mapping with other models to represent their semantics. In this paper, there are concise definitions that relates with mapping approaches between FM and behaviour model. Model definitions presented in our algorithms is used for automation mapping process based on traceability link created. The advanced query mechanism proposed to automate the process of mapping between models. Based on the experimental result, it shows that our proposed algorithm can help tester in automate searches for accurate mapping of features and requirements.

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Usability testing mozita application based on use questionnaire model

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Journal of Physics: Conference Series 2020年第1期1524卷

作者： M F Rizal A P Widodo K Adi D E R Riyanto O D Nurhayati Master of Information System School of Post Graduate Diponegoro University Department of Informatics Faculty of Science and Mathematics Diponegoro University Department of Physics Faculty of Science and Mathematics Diponegoro University Department of Computer Engineering Faculty of Engineering Diponegoro University Jl. Prof Soedarto SH Tembalang Semarang 50275 Indonesia

Mozita is an application used by midwives to record and report the toddler nutritional status in the local health center (Puskesmas). In addition to nutritional status information, Mozita can present information that is used by heads of puskesmas, district health offices and provincial health offices for monitoring and decision making in terms of health policy based on nutritional status. To be able to increase application usage, feedback from users is needed. With USE Questionnaire-based usability testing covering aspects of Usefulness, Satisfaction and Easy of Use. Usability testing is focused on the interaction part of the user interface (midwife), as the main source of data collection. This study used 15 midwife respondents who were randomly drawn from puskesmas in the city area of Semarang. The technique used to measure usability testing is to provide an explanation and guidelines for using the Mozita application before respondents fill in the questionnaire using a Likert scale from 1 to 7. The questionnaire used is equipped with in-depth interviews for question items whose Likert scale value is less than equal to 3 The indepth interview aims to provide a focus on improving the Mozita application interface to suit user needs. The results of usability testing that has been done on the Mozita application shows that the value of the Usefulness component is 84.52%, Easy of Use is 83.53%, Easy of Learning is 80.95%, and Satisfaction is 85.03%. Based on the value of each component measured shows that the Mozita application has a high usability value that is equal to 83.52%, and makes it easy for users to carry out work more efficiently. Some user feedback related to satisfaction aspects, especially in the Mozita application layout section is still simple needs to be done for a better layout design.

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