Кибербезопасность в образовательных сетях

The paper discusses the possible impact of digital space on a human, as well as human-related directions in cyber-security analysis in the education: levels of cyber-security, social engineering role in cyber-security of education, “cognitive vaccination”. “A Human” is considered in general meaning, mainly as a learner. The analysis is provided on the basis of experience of hybrid war in Ukraine that have demonstrated the change of the target of military operations from military personnel and critical infrastructure to a human in general. Young people are the vulnerable group that can be the main goal of cognitive operations in long-term perspective, and they are the weakest link of the System.У статті обговорюється можливий вплив цифрового простору на людину, а також пов'язані з людиною напрямки кібербезпеки в освіті: рівні кібербезпеки, роль соціального інжинірингу в кібербезпеці освіти, «когнітивна вакцинація». «Людина» розглядається в загальному значенні, головним чином як та, що навчається. Аналіз надається на основі досвіду гібридної війни в Україні, яка продемонструвала зміну цілей військових операцій з військовослужбовців та критичної інфраструктури на людину загалом. Молодь - це вразлива група, яка може бути основною метою таких операцій в довгостроковій перспективі, і вони є найслабшою ланкою системи.В документе обсуждается возможное влияние цифрового пространства на человека, а также связанные с ним направления в анализе кибербезопасности в образовании: уровни кибербезопасности, роль социальной инженерии в кибербезопасности образования, «когнитивная вакцинация». «Человек» рассматривается в общем смысле, в основном как ученик. Анализ представлен на основе опыта гибридной войны в Украине, которая продемонстрировала изменение цели военных действий с военного персонала и критической инфраструктуры на человека в целом. Молодые люди являются уязвимой группой, которая может быть главной целью когнитивных операций в долгосрочной перспективе, и они являются самым слабым звеном Систем

Functional and Technical Methods of Information and Risk Communication

Risks of natural and anthropogenic disasters can appear at any moment without warning. All levels of government agencies from federal to township, and the systems of the specialized agencies, like weather-specialists, flood control, electricity suppliers, and educational organizations are standardized and the communication has been improving. The systems of the governments and agencies, meteorologists, flood control, electricity suppliers, and educational organizations are standardized and the communication has been improving. In this chapter, government manuals, procedures for agencies and professional responders, and public awareness, perceptions, and capabilities, are reviewed in three international cities: Seoul, Tokyo, and Toronto. Each city is unique with experiences of different disasters. Communication of supports and vital information of risks without understanding the language and culture of the people may lead the public to large-scale panic. Individuals can access government websites and interpret the information, like WebGIS maps, and risks by themselves. In terms of risk communication, all urbanized cities require their own specialized risk management with reasonably effective technologies, which enhance community resilience. Even better is to have a measure of development for the care of the public after the disaster to help the people get back on their feet, such as various public insurances

Mobile web resource tracking during a disaster or crisis situation

This paper proposes a prototype solution for a mobile web resource tracking system using mobile devices during an emergency situation. The system provides real time data to a decision maker so that he/she can effectively and efficiently monitor resources and assess the situation accordingly. Mobile devices (i.e., smart phones) support the ease of use for any location and at anytime. The Internet technology is selected to enable multiple or cross platform technology solutions for different mobile devices. Resources in the scope of this project are human resources (e.g., a doctor, a police officer) and a chemical list in a room. With the use of a GPS-enabled device or a wireless-enabled device, the system is used to provide the current location of the human resources. Transferring data between system databases and mobile devices is one of the important areas to address in this project. Since location data of a user is sensitive data, data should be protected via an encrypted protected network. In addition, because of the urgency of any crisis situation, it is critical that data from the system be able to be retrieved in a reasonable time frame. The investigation includes the exploration of database and data transfer solutions to meet the data availability during emergency conditions on mobile devices. This document includes a description of the system design, a review of current technologies, proposed methodology, and the implementation. Review of the literature section provides background information on current available technologies that were studied (section 3). Four identified factors are suggested in the system design – usability, security, availability, and performance. The discussion of which technology is selected for each feature can be found in the implementation section 4. Proposed future research areas can be found in the conclusion section and recommendations for future work section

Improving public health preparedness : strengthening biosurveillance systems for enhanced situational awareness

This report is designed to aid state, territorial, tribal, and local public health leaders as they improve their capacity to achieve situational awareness during a public health emergency. We intend this report to serve as a concise reference work public health leaders can use to help design and manage biosurveillance systems to be used during an anticipated public health emergency. We hope public health staff will find it helpful in answering the question, \u201cWhat information do I need to support decision making during a public health emergency and how do I get this information?\u201d To address this question, we focused on information needs for situational awareness using three scenarios: a mass gathering, a natural disaster, or a large outbreak.During these events, information on population health status, health risks, and health services must be readily available to those managing the public health response to the event (Figure 1). This report lists \u201ccore\u201d information needed to effectively manage the public health aspects of an event such as an outbreak, a natural disaster, or a mass gathering. Furthermore, the report describes guiding principles and system capabilities that assure surveillance information systems meet relevant standards, while addressing the need for flexibility to adapt to unique and changing circumstances.We intend for the report\u2019s findings and recommendations to be used by CDC grantees to prioritize activities related to the use of Public Health Emergency Preparedness (PHEP) funding (as well as funding from other CDC cooperative agreements) in the development, maintenance, and optimization of biosurveillance systems. In particular, we intend that our findings and recommendations will delineate specific action steps which will complement and supplement existing guidance contained in the recently developed PHEP capabilities.This research was carried out by the North Carolina Preparedness and Emergency Response Research Center (NCPERRC) at the University of North Carolina at Chapel Hill\u2019s Gillings School of Global Public Health and was supported by the Centers for Disease Control and Prevention (CDC) Grant 1PO1 TP 000296.BiosurvReport_092013.pdfgrant 1PO1 TP00029

Loss of Life Estimation using Life Safety Model for Dam Breach Flood Disaster in Malaysia

The need for an emergency disaster management related to dam has risen up in recent years. This is due to uncertainties in global weather predictions which also affect local Malaysian area. With unpredictable prolonged rainy weather, concerns on events that could lead to flooding has triggered the authority to review the evacuation strategies in critical locations. This paper describes an investigation on the effect of early warning system and people response delay to the rate of fatality in the event of flooding due to dam breach. The Life Safety Model is utilized as a tool for the simulation of people vehicle and building response to 2D hydraulic flow of the river originated from the dam. The study area is based on Kenyir Dam and its surrounding vicinity. A number of scenarios are simulated namely cases with and without early warning system. For the case with early warning system, different triggering time is also investigated. On top of that, the effect of people response delay to the warning system is simulated. It was found that early warning system plays a critical role in reducing the number of fatalities due to flooding. Equally important is the time taken for the community to start evacuating when triggered by the early warning system. From the result LSM, optimum evacuation parameters could be identified and used for the purpose of design, planning and implementation of local emergency evacuation plan in the event of dam-related flooding.

Organizational Complexity, Plan Adequacy, and Nursing Home Resiliency: A Contingency Perspective

Some social and organizational behavior scientists measure resiliency through anecdotal qualitative research, i.e. personality analyses and stories of life experience. Empirical evidence remains limited for identifying measurable indicators of resiliency. Therefore, a testable contingency model was needed to clarify resiliency factors pertinent to organizational performance. Two essential resiliency factors were: 1) a written plan and 2) affiliation with a disaster network. This contingency study demonstrated a quantifiable, correlational effect between organizational complexity, disaster plan adequacy and organizational resiliency. The unit of analysis, the skilled nursing facility proved vulnerable, therefore justifying the need for a written emergency management plan and affiliation with a disaster network. The main purpose of this research was to verify the significance of emergency management plans within a contingency framework of complexity theory, resource dependency, systems theory, and network theory. Distinct sample moments quantified causal relationships between organizational complexity (A), plan adequacy (B) and resiliency (C). Primary and secondary research data were collected from within the context of public health and emergency management sectors within the State of Florida

Designing a state-of-the-science, accredited, commercially-successful biorepository utilizing ISO:9001(2008) quality management system requirements to construct the framework

The research community relies upon biorepositories’ ability to prepare for the scientific advancement that can precipitate the discoveries of the future. Furthermore, as the complexities, financial pressure, and quality issues biorepositories face continue to unfold, it is imperative to explore unmet needs researchers may have for biorepository services as well as evaluate the commercial potential, funding, and competitiveness of a new biorepository. With the goal of contributing to medical and scientific research and the biorepository field, this paper utilizes principles from ISO 9001:2008 “Quality management systems- Requirements” to outline and explore the challenges in establishing a state-of-the-science, accredited, commercial BSL-2 biorepository in order to support academic, clinical, and translational research. In addition, this paper provides detailed quality assurance strategies to meet investigator’s needs, ensure high quality, fit-for-purpose biospecimens, and, most importantly, protect and preserve the biospecimens entrusted to its care

Communicative Development and Diffusion of Humanoid AI Robots for the Post-Pandemic Health Care System

As humanoid robot technology, anthropomorphized by artificial intelligence (AI), has rapidly advanced to introduce more human-resembling automated robots that can communicate, interact, and work like humans, we have begun to expect active interactions with Humanoid AI Robots (HAIRs) in the near future. Coupled with the HAIR technology development, the COVID-19 pandemic triggered our interest in using health care robots with many substantial advantages that overcome critical human vulnerabilities against the strong infectious COVID-19 virus. Recognizing the tremendous potential for the active application of HAIRs, this article explores feasible ways to implement HAIRs in health care and patient services and suggests recommendations for strategically developing and diffusing autonomous HAIRs in health care facilities. While discussing the integration of HAIRs into health care, this article points out some important ethical concerns that should be addressed for implementing HAIRs for health care services

Application of a Blockchain Enabled Model in Disaster Aids Supply Network Resilience

The disaster area is a dynamic environment. The bottleneck in distributing the supplies may be from the damaged infrastructure or the unavailability of accurate information about the required amounts. The success of the disaster response network is based on collaboration, coordination, sovereignty, and equality in relief distribution. Therefore, a reliable dynamic communication system is required to facilitate the interactions, enhance the knowledge for the relief operation, prioritize, and coordinate the goods distribution. One of the promising innovative technologies is blockchain technology which enables transparent, secure, and real-time information exchange and automation through smart contracts. This study analyzes the application of blockchain technology on disaster management resilience. The influences of this most promising application on the disaster aid supply network resilience combined with the Internet of Things (IoT) and Dynamic Voltage Frequency Scaling (DVFS) algorithm are explored employing a network-based simulation. The theoretical analysis reveals an advancement in disaster-aids supply network strategies using smart contracts for collaborations. The simulation study indicates an enhance in resilience by improvement in collaboration and communication due to more time-efficient processing for disaster supply management. From the investigations, insights have been derived for researchers in the field and the managers interested in practical implementation