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The new communication network for an internet of everything based security/safety/general management/visitor's services for the Papal Basilica and Sacred Convent of Saint Francis in Assisi, Italy

The new communication network for an internet of everything ...

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2017 International Carnahan Conference on security technology, ICCST 2017

作者： Gambetti, Mauro Garzia, Fabio Bonilla, Francisco Jesus Vargas Ciarlariello, Davide Ferrer, Miguel A. Fusetti, Sergio Lombardi, Mara Ramalingam, Soodamani Ramasamy, Mahalingam Sacerdoti, Simone Sdringola, Andrea Thirupati, Devi Zanuy, Marcos Faundez General Custody of Sacred Convent of Saint Francis in Assisi Minor Conventual Friars Assisi Italy Foundation for the Basilica of Saint Francis in Assisi Assisi Italy Safety and Security Engineering Group - DICMA SAPIENZA University of Rome Rome Italy Electronic Engineering Department School of Engineering SISTEMIC Universidad de Antioquia Medellin Colombia Universitario para El Desarrollo Tecnológico e Innovación en Comunicaciones Universidad de Las Palmas de Gran Canaria Gran Canaria Spain Division of Electronics Communications and Electrical Engineering School of Engineering and Technology University of Hertfordshire Hatfiled United Kingdom Netcon Technologies India Private Limited Coimbatore India Department of Computer Applications Bharathiar University Coimbatore Tamil Nadu India ESUP Tecnocampus Pompeu Fabra University Mataró Spain

ISBN: (纸本)9781538615850

The Papal Basilica and the Sacred Convent of St. Francis in Assisi, Italy together represent a unique and specific cultural heritage site where the mortal remains of St. Francis have been housed since 1230 AD. Millions of pilgrims and visitors from all over the world visit this site each year. In 2000 AD, together with other Franciscan sites in the surrounding area, it achieved UNESCO World Heritage status. Unique and complex cultural heritage sites, such as this, require a significant effort to ensure visitor security and safety. Along with such needs are cultural heritage preservation and protection as well as accessibility for visitors, with particular reference to visitors with disabilities, and for personnel normally present for site management, including the Friar's community. These aims can be achieved using integrated systems and innovative technologies, such as Internet of Everything (IoE) which can connect people, things (mobile terminals, smart sensors, devices, actuators;wearable devices;etc.), data/information/knowledge and particular processes. The purpose of this paper is to illustrate the methodology and show the results obtained from the study and the design of a new communication network for Internet of Everything based security/safety/general management and visitors' services of the Papal Basilica and Sacred Convent of Saint Francis in Assisi. © 2017 IEEE.

关键词： Internet of Everything

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Grammar-based adaptive fuzzing: Evaluation on SCADA modbus protocol

Grammar-based adaptive fuzzing: Evaluation on SCADA modbus p...

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IEEE International Conference on Smart Grid Communications (SmartGridComm)

作者： Hyunguk Yoo Taeshik Shon Department of Computer Engineering Ajou University Suwon Republic of Korea Department of Cyber Security Ajou University Suwon Republic of Korea

ISBN: (纸本)9781509040766

Software security for critical infrastructure, such as electrical grid and SCADA systems is becoming an increasing important issue. Fuzzing techniques are widely used to detect software security vulnerability, from various approaches (mutation-based or grammar-based, blackbox or whitebox) depending on the information used to generate test input. Although existing studies have advantages, they also have limitations for software with structured inputs, such as SCADA protocol implementations. This paper presents a novel fuzzing method leveraging software input grammar for test and dynamic information extracted from target program execution. The proposed fuzzing method was evaluated for two applications using a Modbus protocol, which is widely used in SCADA systems, and showed improved code coverage, compared to current well-known fuzzing tools.

关键词： Grammar Protocols Software Smart grids computer security Conferences Privacy

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Model checking of IoT system in microgrid 8

Model checking of IoT system in microgrid

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8th International Conference on Information technology in Medicine and Education, ITME 2016

作者： Liang, Lulu Zheng, Kai Wei, Zilong Wang, Yanmei Wu, Sihan Huang, Xin China Information Technology Security Evaluation Center Xi'an Jiaotong-Liverpool University Suzhou China Department of Computer Science and Software Engineering Xi'an Jiaotong-Liverpool University Suzhou China

ISBN: (纸本)9781509039050

Due to the serious air pollution, the renewable energy sources had attracted more and more attention. In order to manage the renewable energy sources, the concept of microgrid is introduced. The IoT system can also be used in microgrid for the monitoring and control. However, how to verify the reliability of the system is still a problem. In this paper, the probabilistic model checking is used to verify the reliability of IoT system in microgrid. The results suggest the further improvement of IoT system in microgrid. © 2016 IEEE.

关键词： Model checking

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Effects of Tellurium Oxide on Surface Current and Performance of CdZnTe Nuclear Radiation Detectors

Effects of Tellurium Oxide on Surface Current and Performanc...

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IEEE Nuclear Science Symposium

作者： Stephen U. Egarievwe Eric D. Lukosi Ifechukwude O. Okwechime Rubi Gul Anwar Hossain Ralph B. James Department of Electrical Engineering and Computer Science Alabama AM University Normal AL USA Department of Nuclear Engineering University of Tennessee Knoxville TN USA the Nuclear Engineering and Radiological Science Center Alabama AM Univ. Normal AL USA the Department of Nonproliferation and National Security Brookhaven National Laboratory Upton NY USA Science and Technology Savannah River National Laboratory Aiken SC USA

Cadmium zinc telluride (CdZnTe) radiation detectors have found applications in medical imaging and in the detection of radiological and nuclear threats. While there has been success in developing CdZnTe detectors with less than 1% FWHM energy resolution at the 662 keV gamma energy, charge collection can be improved through optimization of surface treatment techniques. The dominant surface species on CdZnTe are cadmium, tellurium, and tellurium oxide. The tellurium oxide is expected to produce a more chemically stable surface. This paper presents the quantification of the tellurium oxide species on CdZnTe wafers that are freshly etched in a mixture of hydrogen bromide in hydrogen peroxide and ethylene glycol solution. It also presents the effects of the tellurium oxide on surface current and detector performance. X-ray photoelectron spectroscopy (XPS) was used to quantify the tellurium oxide species on the wafer surface. The formation of tellurium oxide on the CdZnTe wafers immediately after etching contributes to an increase in the surface leakage current. The electron mobility-lifetime product was significantly reduced from 5.94 × 10~(-3) cm~2/V to 0.60 × 10~(-3) cm~2/V for a freshly etched wafer. The FWHM for a freshly etched wafer used in this study is 32% for the 59.5-keV gamma-peak of Am-241. The mobility-lifetime product and the energy resolution are expected to improve with time as the wafer surfaces become more stable.

关键词： Tellurium Hydrogen Detectors Etching Current measurement Leakage currents

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A game-theoretic taxonomy and survey of defensive deception for cybersecurity and privacy

arXiv

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arXiv 2017年

作者： Pawlick, Jeffrey Colbert, Edward Zhu, Quanyan Department of Electrical and Computer Engineering New York University Tandon School of Engineering 5 MetroTech Center BrooklynNY United States Us Army Research Laboratory 2800 Powder Mill Road AdelphiMD United States Us Army Research Laboratory Virgina Tech Intelligent Systems Laboratory Hume Center for National Security and Technology 900 N. Glebe Road ArlingtonVA United States Department of Electrical and Computer Engineering New York University Tandon School of Engineering

cyberattacks on both databases and critical infrastructure have threatened public and private sectors. Ubiquitous tracking and wearable computing have infringed upon privacy. Advocates and engineers have recently proposed using defensive deception as a means to leverage the information asymmetry typically enjoyed by attackers as a tool for defenders. The term deception, however, has been employed broadly and with a variety of meanings. In this paper, we survey 24 articles from 2008-2018 that use game theory to model defensive deception for cybersecurity and privacy. Then we propose a taxonomy that defines six types of deception: perturbation, moving target defense, obfuscation, mixing, honey-x, and attacker engagement. These types are delineated by their information structures, agents, actions, and duration: precisely concepts captured by game theory. Our aims are to rigorously define types of defensive deception, to capture a snapshot of the state of the literature, to provide a menu of models which can be used for applied research, and to identify promising areas for future work. Our taxonomy provides a systematic foundation for understanding different types of defensive deception commonly encountered in cybersecurity and privacy. Copyright © 2017, The Authors. All rights reserved.

关键词： Surveys

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Benchmarking Single Image Dehazing and beyond

arXiv

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arXiv 2017年

作者： Li, Boyi Ren, Wenqi Fu, Dengpan Tao, Dacheng Feng, Dan Zeng, Wenjun Wang, Zhangyang Computer Science Department Cornell University United States State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences. Department of Electronic Engineering and Information Science University of Science and Technology of China. Ubtech Sydney Artificial Intelligence Centre and School of Information Technologies Faculty of Engineering and Information Technologies University of Sydney 6 Cleveland St DarlingtonNSW2008 Australia Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology Wuhan China Microsoft Research Beijing China Department of Computer Science and Engineering Texas A and M University United States

We present a comprehensive study and evaluation of existing single image dehazing algorithms, using a new largescale benchmark consisting of both synthetic and real-world hazy images, called REalistic Single Image DEhazing (RESIDE). RESIDE highlights diverse data sources and image contents, and is divided into five subsets, each serving different training or evaluation purposes. We further provide a rich variety of criteria for dehazing algorithm evaluation, ranging from full-reference metrics, to no-reference metrics, to subjective evaluation and the novel task-driven evaluation. Experiments on RESIDE shed light on the comparisons and limitations of state-of-the-art dehazing algorithms, and suggest promising future directions. Copyright © 2017, The Authors. All rights reserved.

关键词： Demulsification

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Impact assessment of cyber attacks: A quantification study on power generation systems

Impact assessment of cyber attacks: A quantification study o...

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IEEE International Conference on System of Systems engineering (SoSE)

作者： Unal Tatar Hayretdin Bahsi Adrian Gheorghe Engineering Management & Systems Engineering Department Old Dominion University Centre for Digital Forensics and Cyber Security Tallinn University of Technology

ISBN: (纸本)9781467387286

Vulnerability of critical infrastructures have increased with widespread use of information technologies. Although individual hackers whose major aims are self-satisfaction and financial gain are already on the stage, nation sponsored attacks are considered as important threats after Stuxnet attack. An important intention of targeted attacks by nation states may be the degradation of cyber physical systems of their enemies. After these developments, cyber-attacks have become an agenda item of the academics, practitioners and policy makers. In this study, we employed Monte-Carlo reliability analysis technique to quantify the impact of cyber-attacks on industrial control systems used in power generation systems. Economic value of cyber-attacks can help decision makers to decide if a cyber-security investment is feasible or not. The results showed that cyber-attacks may have significant impact on reliability of power generation systems.

关键词： Reliability security Software Power system reliability Power generation Process control

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A Study on Device security in IoT Convergence

A Study on Device Security in IoT Convergence

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International Conference on Industrial engineering, Management Science and Application (ICIMSA)

作者： Hyun-Jin Kim Hyun-Soo Chang Jeong-Jun Suh Tae-shik Shon Department of Computer Engineering Ajou University Suwon Republic of Korea Convergence Security Industry Team Korea Internet & Security Agency (KISA) Department of Cyber Security Ajou University Suwon Republic of Korea

ISBN: (纸本)9781509016723

IoT(Internet of Things) is global infrastructure that enables any object to communicate. The term IoT is being widely used and that technologies are being applied to various areas. IoT technologies is expected to increase many services' convenience, expandability, accessibility and interoperability, but existing ICT environment could be exposed new security threats due to increased openness and IoT device's specialty. Actually, IoT devices' vulnerabilities and exploits are reported. If attacks on IoT devices succeed, it can cause much damage over the various areas. Therefore, we categorize IoT devices and examines threats of each category. Finally we deduct security requirements of IoT devices.

关键词： Internet of things security Standards Protocols Smart homes Monitoring

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Teaching test-drive development using Dojo

Journal of Computing Sciences in Colleges

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Journal of Computing Sciences in Colleges 2017年第4期32卷

作者： Young Lee Dhanunjaya Bhargavan Marepalli Jeong Yang Electrical Engineering and Computer Science Department Texas A&M University-Kingsville Computing and Cyber Security Department Texas A&M University-San Antonio

Teaching Test-Driven Development (TDD) to the students is challenging. TDD is best learned when it is actually performed rather than read about. Especially when the students are novice to TDD, starting by writing a test first seems to be extremely hard, and proceeding with the small steps that the TDD cycle requires often demands explicit guidance. Coding Dojo is a dynamic and collaborative activity where people can practice programming, especially techniques related to agile methods. This paper discusses the two experiments conducted to find out how Coding Dojo methodology improves the code coverage of students programming and how it improves motivation in students to learn TDD.

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An Enhanced General Fuzzy Min-Max Neural Network For Classification

An Enhanced General Fuzzy Min-Max Neural Network For Classif...

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International Conference on Intelligent Computing and Control Systems

作者： Neha V. Donglikar Jaishri M. Waghmare Department of Computer Network and Information Security (CNIS) Shri Guru Gobind Singhji Institute of Engineering and Technology Nanded Maharashtra India 431 606 Department of Computer Science and Engineering Shri Guru Gobind Singhji Institute of Engineering and Technology Nanded Maharashtra India 431 606

ISBN: (纸本)9781538639016

This paper proposes the enhanced general fuzzy min-max neural network (EGFM) classification model to perform supervised classification of data. The aim is to overcome a number of limitations of the general fuzzy min-max neural network (GFMM) and improve its classification performance. New hyperbox expansion, overlap and contraction rules proposed in enhanced fuzzy min-max (EFMM) neural network algorithm are used to improve the GFMM learning algorithm. The proposed EGFM classifier is mainly a merging of GFMM and EFMM classifiers to overcome some unidentified cases of hyperboxes overlap and consequent contraction problems in some regions. Accuracy and efficiency of EGFM classifier are evaluated using different standard datasets taken from UCI machine learning repository and the results are better than those from GFMM classifier.

关键词： Classification EGFM Fuzzy min-max neural network Hyperbox Membership function Pattern space

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