Assessment of Meteorological Threats to the Coordinated Search and Rescue of Unmanned/Manned Aircraft

The architecture and working principle of coordinated search and rescue system of unmanned/manned aircraft,which is composed of manned/unmanned aircraft and manned aircraft,were first introduced,and they can cooperate with each other to complete a search and rescue task.Secondly,a threat assessment method based on meteorological data was proposed,and potential meteorological threats,such as storms and rainfall,can be predicted by collecting and analyzing meteorological data.Finally,an experiment was carried out to evaluate the performance of the proposed method in different scenarios.The experimental results show that the coordinated search and rescue system of unmanned/manned aircraft can be used to effectively assess meteorological threats and provide accurate search and rescue guidance.

Systematic Literature Review on Cloud Computing Security: Threats and Mitigation Strategies

Cloud computing plays a significant role in modern information technology, providing organizations with numerous benefits, including flexibility, scalability, and cost-efficiency. However, it has become essential for organizations to ensure the security of their applications, data, and cloud-based networks to use cloud services effectively. This systematic literature review aims to determine the latest information regarding cloud computing security, with a specific emphasis on threats and mitigation strategies. Additionally, it highlights some common threats related to cloud computing security, such as distributed denial-of-service (DDoS) attacks, account hijacking, malware attacks, and data breaches. This research also explores some mitigation strategies, including security awareness training, vulnerability management, security information and event management (SIEM), identity and access management (IAM), and encryption techniques. It discusses emerging trends in cloud security, such as integrating artificial intelligence (AI) and machine learning (ML), serverless computing, and containerization, as well as the effectiveness of the shared responsibility model and its related challenges. The importance of user awareness and the impact of emerging technologies on cloud security have also been discussed in detail to mitigate security risks. A literature review of previous research and scholarly articles has also been conducted to provide insights regarding cloud computing security. It shows the need for continuous research and innovation to address emerging threats and maintain a security-conscious culture in the company.

Developing an Abstraction Framework for Managing and Controlling Saudi Banks’ Cybersecurity Threats Based on the NIST Cybersecurity Framework and ISO/IEC 27001

Saudi Arabian banks are deeply concerned about how to effectively monitor and control security threats. In recent years, the country has taken several steps towards restructuring its organizational security and, consequently, protecting financial institutions and their clients. However, there are still several challenges left to be addressed. Accordingly, this article aims to address this problem by proposing an abstract framework based on the National Institute of Standards and Technology (NIST) Cybersecurity Framework and International Organization for Standardization/International Electrotechnical Commission (ISO/IEC 27001). The framework proposed in this paper considers the following factors involved in the security policy of Saudi banks: safety, Saudi information bank, operations and security of Saudi banks, Saudi banks’ supplier relationships, risk assessment, risk mitigation, monitoring and detection, incident response, Saudi banks’ business continuity, compliance, education, and awareness about all factors contributing to the framework implementation. This way, the proposed framework provides a comprehensive, unified approach to managing bank security threats. Not only does the proposed framework provide effective guidance on how to identify, assess, and mitigate security threats, but it also instructs how to develop policy and procedure documents relating to security issues.

Blockchain Security Threats and Collaborative Defense:A Literature Review

As a distributed database,the system security of the blockchain is of great significance to prevent tampering,protect privacy,prevent double spending,and improve credibility.Due to the decentralized and trustless nature of blockchain,the security defense of the blockchain system has become one of the most important measures.This paper comprehensively reviews the research progress of blockchain security threats and collaborative defense,and we first introduce the overview,classification,and threat assessment process of blockchain security threats.Then,we investigate the research status of single-node defense technology and multi-node collaborative defense technology and summarize the blockchain security evaluation indicators and evaluation methods.Finally,we discuss the challenges of blockchain security and future research directions,such as parallel detection and federated learning.This paper aims to stimulate further research and discussion on blockchain security,providing more reliable security guarantees for the use and development of blockchain technology to face changing threats and challenges through continuous updating and improvement of defense technologies.

Multiclass Classification for Cyber Threats Detection on Twitter

The advances in technology increase the number of internet systems usage.As a result,cybersecurity issues have become more common.Cyber threats are one of the main problems in the area of cybersecurity.However,detecting cybersecurity threats is not a trivial task and thus is the center of focus for many researchers due to its importance.This study aims to analyze Twitter data to detect cyber threats using a multiclass classification approach.The data is passed through different tasks to prepare it for the analysis.Term Frequency and Inverse Document Frequency(TFIDF)features are extracted to vectorize the cleaned data and several machine learning algorithms are used to classify the Twitter posts into multiple classes of cyber threats.The results are evaluated using different metrics including precision,recall,F-score,and accuracy.This work contributes to the cyber security research area.The experiments revealed the promised results of the analysis using the Random Forest(RF)algorithm with(F-score=81%).This result outperformed the existing studies in the field of cyber threat detection and showed the importance of detecting cyber threats in social media posts.There is a need for more investigation in the field of multiclass classification to achieve more accurate results.In the future,this study suggests applying different data representations for the feature extraction other than TF-IDF such as Word2Vec,and adding a new phase for feature selection to select the optimum features subset to achieve higher accuracy of the detection process.

A Novel IoT Architecture, Assessment of Threats and Their Classification withMachine Learning Solutions

The Internet of Things(IoT)will significantly impact our social and economic lives in the near future.Many Internet of Things(IoT)applications aim to automate multiple tasks so inactive physical objects can behave independently of others.IoT devices,however,are also vulnerable,mostly because they lack the essential built-in security to thwart attackers.It is essential to perform the necessary adjustments in the structure of the IoT systems in order to create an end-to-end secure IoT environment.As a result,the IoT designs that are now in use do not completely support all of the advancements that have been made to include sophisticated features in IoT,such as Cloud computing,machine learning techniques,and lightweight encryption techniques.This paper presents a detailed analysis of the security requirements,attack surfaces,and security solutions available for IoT networks and suggests an innovative IoT architecture.The Seven-Layer Architecture in IoT provides decent attack detection accuracy.According to the level of risk they pose,the security threats in each of these layers have been properly categorized,and the essential evaluation criteria have been developed to evaluate the various threats.Also,Machine Learning algorithms like Random Forest and Support Vector Machines,etc.,and Deep Learning algorithms like Artificial Neural Networks,Q Learning models,etc.,are implemented to overcome the most damaging threats posing security breaches to the different IoT architecture layers.

Analyzing Security Threats to Virtual Machines Monitor in Cloud Computing Environment

The data and applications in cloud computing reside in cyberspace, that allowing to users access data through any connection device, when you need to transfer information over the cloud, you will lose control of it. There are multi types of security challenge must be understood and countermeasures. One of the major security challenges is resources of the cloud computing infrastructures are provided as services over the Internet, and entire data in the cloud computing are reside over network resources, that enables the data to be access through VMs. In this work, we describe security techniques for securing a VCCI, VMMs such as Encryption and Key Management (EKM), Access Control Mechanisms (ACMs), Virtual Trusted Platform Module (vTPM), Virtual Firewall (VF), and Trusted Virtual Domains (TVDs). In this paper we focus on security of virtual resources in Virtualized Cloud Computing Infrastructure (VCCI), Virtual Machine Monitor (VMM) by describing types of attacks on VCCI, and vulnerabilities of VMMs and we describe the techniques for securing a VCCI.

Genomic Tools for the Impact Assessment of 'Hotspots' for Early Warning of MDR Threats

INTRODUCTION Antimicrobial resistance(AMR)has been a low-priority area of research in most developing countries even though it has much significant therapeutic value.The management of serious infections should include not only the treatment of patients but also the measures to ensure that microorganisms do not spread through

Different coding characteristics between flight and freezing in dorsal periaqueductal gray of mice during exposure to innate threats

Background:Flight and freezing are two vital defensive behaviors that mice display to avoid natural enemies.When they are exposed to innate threats,visual cues are processed and transmitted by the visual system into the emotional nuclei and finally transmitted to the periaqueductal gray(PAG)to induce defensive behaviors.However,how the dorsal PAG(dPAG)encodes the two defensive behaviors is unclear.Methods:Multi-array electrodes were implanted in the dPAG nuclei of C57BL/6 mice.Two kinds of visual stimuli(looming and sweeping)were used to induce defensive behaviors in mice.Neural signals under different defense behaviors were recorded,and the encoding characteristics of the two behaviors were extracted and analyzed from spike firing and frequency oscillations.Finally,synchronization of neural activity during the defense process was analyzed.Results:The neural activity between flight and freezing behaviors showed different firing patterns,and the differences in the inter-spike interval distribution were mainly reflected in the 2–10 ms period.The frequency band activities under both defensive behaviors were concentrated in the theta band;the active frequency of flight was~8to 10 Hz,whereas that of freezing behavior was~6 to 8 Hz.The network connection density under both defense behaviors was significantly higher than the period before and after defensive behavior occurred,indicating that there was a high synchronization of neural activity during the defense process.Conclusions:The dPAG nuclei of mice have different coding features between flight and freezing behaviors;during strong looming stimulation,fast neuro-i nstinctive decision making is required while encountering weak sweeping stimulation,and computable planning late behavior is predicted in the early stage.The frequency band activities under both defensive behaviors were concentrated in the theta band.There was a high synchronization of neural activity during the defense process,which may be a key factor triggering different defensive behaviors.

Emerging Threats to Forests: Resilience and Strategies at System Scale

Forests provide multiple ecosystem services that are critical to sustain societies and ecosystems. Protecting the forest systems become imperative as human demand for forest products and services increase. In addition to current stressors, several emerging threats pose serious implications on the survival and sustainability of forest ecosystems. These include climatic change, invasive species, natural disasters, land use change, and pest/diseases that can severally impact the ability of forest to sustain ecosystem services. There is a need for using a systems-based framework to increase resilience of forest systems to cope with these threats. We review literature on these threats and propose a systems-framework for forest resilience. While strategies for each threat are often easier, comprehensive strategies that can handle multiple threats and specific to forest type is required. There is also a need for further research into forest resilience and landscape-scale response and resilience.

Climate Change and Biodiversity Threats on Pachypodium Species in South Africa

The genus Pachypodium are succulent shrubs and small trees found in Southern Africa. Climate change is identified as one the most important threat impacting plant and animal species in the South Africa today, and in this case study, we examined the Pachypodium bispinosum and Pachypodium succulentum species in South Africa, which are becoming more vulnerable due to climate change impacts as well as human threats. This study investigates the climate change impacts on the two Pachypodium species, as well as the biodiversity threats facing the Pachypodium species today, and provides evidence regarding the importance of the study to understanding the climate change impacts on the Pachypodium species by showing the underlying variables affecting the changes.

Threats and Avoidance Measures of Frost Damage of‘Shushanggan’Apricot in the Ili River Valley

[Objectives]To explore the threat factors of frost damage to‘Shushanggan’Apricot in the Ili River Valley,and to provide measures for avoiding frost damage.[Methods]Based on the meteorological data of the Ili River Valley counties and cities during the 12 years from 2010 to 2021 and using the critical low temperature of‘Shushanggan’Apricot as the main factor,we comprehensively analyzed the threats of low temperature in winter in January and late frost in April in spring in the Ili River Valley.[Results]During the 12 years,there were 4 years of low temperature below the critical(-26—-28℃)of‘Shushanggan’Apricot in the Ili River Valley counties and cities in January,accounting for 33.3%,and a total of 59 d.The frequency of occurrence was:Nilka County>Qapqal County>Yining City>Gongliu County>Huocheng County>Khorgos City>Yining County>Tekes County>Xinyuan County.In April,there were 9 years with a low temperature below the critical temperature(-0.6℃)flowering and fruit setting of‘Shushanggan’Apricot,accounting for 75%,and a total of 134 d.The frequency of occurrence was:Nilka County>Tekes County>Gongliu County>Yining County>Huocheng County>Khorgos City>Xinyuan County>Yining City>Qapqal County.The low temperature threats of‘Shushanggan’Apricot suitable cultivation areas were ranked as follows:Nilka County>Gongliu County>Tekes County>Qapqal County>Huocheng County>Yining City>Yining County>Khorgos City>Xinyuan County.Combined with the observation and survey of frost damage on the spot,we comprehensively analyzed and evaluated the cultivation area of‘Shushanggan’Apricot in the Ili River Valley:three counties(Nilka County,Gongliu County,and Tekes County)in the eastern region,except Xinyuan County,suffered frequent late frost damage,are suitable areas for the cultivation of‘Shushanggan’Apricot;three counties and two cities in the western region(Qapqal County,Huocheng County,Yining City,Yining County,Khorgos City)and Xinyuan County in the eastern region are suitable areas for‘Shushanggan’Apricot.The inversion zone at an altitude of 820-1100 in the valley is the superior area for‘Shushanggan’Apricot.[Conclusions]We explored the suitable areas in the origin area of‘Shushanggan’Apricot,and came up with measures to avoid frost damage,to provide a reference for the development of‘Shushanggan’Apricot.

Critical Energy Infrastructure: Cyberterrorism Threats and Means of Protection

The present paper is concerned with potential cyberterrorist threats which the objects of national energy infrastructure may undergo, directions of development of counteraction means for these threats, problems arising during this development and their possible solutions. This problem field is studied by the author from scientific point of view (from point of view of computer science and information security of large systems) and this paper reflects results of such studies. Many special technical terms were omitted or substituted in order to make the statement accessible to wider range of people concerned.

Analysis of Strengths,Weaknesses,Opportunities,and Threats on the Development and Internationalization of China’s Vocational Education in the Context of“The Belt and Road Initiative”Strategy

The belt and road initiative strategy is proposed based on the stable and sustainable cooperation on economy and development between China and neighboring countries.The development of economy can affect every aspect of vocational education development.Therefore,vocational education in China must be moved toward internationalization to achieve sustainable development in the face of the implementation of the belt and road initiative strategy.The analysis data obtained through the strengths,weaknesses,opportunities,and threats analysis method on the internationalization of China’s vocational education under the background of the belt and road initiative strategy were the advantages analysis(strengths)of continuous maturity in developing of vocational education,which drives by economic development and the foreign employment and entrepreneurship guidance mechanism;the disadvantages analysis(weaknesses)of lack talent cultivation and weak branding of vocational education;analysis of support opportunities given by national policy;and threats analysis of social culture in the involved countries along the route.To further develop and expand China’s vocational education under the background of the belt and road initiative strategy,some countermeasures were proposed such as improves cultivation or training of talents,to build strong branding of China vocational education,and faces cultural challenges to facilitate the international development of China vocational education.

A Comprehensive Outlook of Mining Industry in Jordan, Opportunities and Threats

Jordan’s mining sector is considered the cornerstone to the Jordanian economy. It plays a vital role in growth of many other important sectors in the economy and contributes to the Jordan’s standard of living. The mining industry in Jordan is dominated by the production of phosphate, potash, building and decoration stones, glass sand and other nonmetallic resources. Recently, Jordan has been ranked as the sixth largest producer and the second largest exporter of phosphate, the fourth largest producer and the second largest exporter of potash, and has the 5th largest oil-shale reserves in the world. Also, Jordan has sustainable amounts of uranium around 3% of the world resources. The main objective of this research is to focus on the present status of mining industry in Jordan with the aim to emphasis the most important industries, and its effect on the economy of Jordan in order to generate new wealth depends on its mineral endowment. A literature review has been carried out by reviewing the most published articles and the publicly available reports published by various Jordanian Institutions as well as from the private sector. The author reveals that there are many positive outlooks which are looming with an increasing domestic added value along with investing in other areas, such as feldspar, clays, travertine, gypsum, zirconium, uranium, copper and rare earth elements (REE). This requires activating the exploitation of many other untapped mineral resources in the country to achieve a progress that works for meeting the global great demands worldwide. In this context, successive governments have put effort into policies that promote and facilitate investment in the mining sector in Jordan. A comprehensive outlook of the mining sector in Jordan has been discussed in this article. The author also highlighted the opportunities and threats in this sector and more important dilemmas focused on what needs to be carried out by the Jordanian government, including important recommendations to encourage investment in this field and inspire investors in the mining industry in Jordan.

Strengths,Weaknesses,Opportunities,and Threats Analysis and Countermeasures on the Cultivation of Preschool Teachers in Sichuan Province

Training of preschool teachers in Sichuan Province brings advantages in increasing government support for the preschool education industry.The society attaches an important role to the preschool education industry as well as the rapid development of preschool education in Sichuan Province.However,problem exists in large flows of preschool teachers and imbalanced gender ratios.By viewing from the new situation,the comprehensive liberalization of the second-child policy and the development of educational informatization as well as the implementation of the one belt and one road strategy have created great opportunities in training of preschool teachers.At the same time,the increase in external impact of high-quality graduates in the east also poses a great threat to the development of preschool teachers in Sichuan Province.Through the strategic combination of strengths,weaknesses,opportunities,and threats analysis,the paper explores effective countermeasure ways to improve the quality of training of the preschool teachers in Sichuan Province and the construction of an excellent team of preschool teachers in Sichuan Province.

Threats and Opportunities Developing Nations of Africa Can Draw From the Foreign Direct Investment From Russia and China

The 21st century has seen the world superpowers,such as Russia and China and multi-lateral agencies encourage backward states to embrace and promote foreign direct investment(FDI)as an instrument to improve domestic production which will lead to economic growth and development.This is premised on the fact that FDI comes with transfer of technology,new and advanced management approaches,technical skills,and access to international markets.However,researchers have shown that occasionally FDI inflows achieve the opposite as they compete for the same markets with local industries and,as a result,they crowd out local industries leading to higher unemployment.Further,research has shown that most international financial crises were caused by rapid withdrawal of FDI.In essence,FDI can have positive and can also have negative effects on economic growth.Against this background,this discussion seeks to outline and look at the threats and opportunities that backward states,such as those in Africa will draw from the 21st century FDI from world superpowers.

Population Status, Threats and Conservation of the Spotted Pond Turtle;Geoclemys Hamiltonii (Gray, 1830) (Geoemydidae) of Pakistan

In the present work on population status,threats and conservation of the spotted pond turtle;Geoclemys hamiltonii(Gray,1830)(Geoemydidae)was conducted in Thatta,Sujawal and Badin districts of Sindh province of Pakistan.A total number of 277 live specimens of G.hamiltonii from southeast province(Sindh)of Pakistan have been collected from different water bodies and sites in three consecutive year’s i.e 2015-2017.The population status of G.hamiltonii has recorded as decreasing in Sindh due to habitat destruction,eutrophication,agricultural farming and some other anthropogenic activities.This species is mostly used as pet and the poachers mostly carrying this species for trade in East Asian countries.The globally illegal trading hubs of this species are Bangkok,Taiwan and Hong Kong.More and powerful actions and efforts are needed to raise awareness of smuggling of wildlife,with a specific need of formal memorandums of understanding(MOUs)are strongly encouraged south Asian and east Asian countries to control illegal trade between the countries and territories along the trade route of Bangladesh,India,Pakistan,Thailand,Hong Kong and Taiwan to improve cross border enforcement.

Diversity and Threats of Avifauna in Cheleleka Wetland,Central Rift Valley of Ethiopia

This study was conducted in Cheleleka Wetland,Central Rift Valley of Ethiopia to assess Species diversity and threats of aviafuana from August to February 2019.Data were analysed by using Simpson’s and Shannon-Weiner Index in analysing biodiversity indices.One way ANOVA was applied for analysis of the effect of season on the composition and abundance of species.Questionnaire surveys,key informant interviews and focus group discussion were also used to determine the threats of avifauna in the study area.The result indicated that 49 avian species record under 21 families and 10 orders during both the wet and dry seasons.The Shannon-Weiner diversity index shown that highest bird species diversity(H’=3.42)was recorded during wet season.Over grazing,agricultural expansion,settlement and sand extraction were the major avifaunal threats in the wetland.The result suggests that the need to conserve the avifauna through the conservation of their habitats by creating awareness to the local people and it will enable to decrease biodiversity threats.

Superiority Effect in Detecting Phylogenetic Threats Under Unattentional Condition: A Visual Mismatch Negativity Study

Rapid and accurate perception of threat information is a critical ability and a prerequisite to survive natural selection for humans.To investigate whether threatening stimuli,especially phylogenetic and ontogenetic threats,are processed automatically,we analyzed the visual mismatch negativity(vMMN,an event-related potential component reflecting automatic processing)elicited by the threats with a cross-modal oddball paradigm,where participants were required to focus on the auditory stimuli and ignore the visual stimuli in each block.In this study,neutral(non-threatening)images served as standard stimuli(80%),and phylogenetic(10%)and ontogenetic(10%)threat stimuli served as deviant stimuli when testing a large sample(N=96)of healthy volunteers.Threat-related visual mismatch negativity(threat-vMMN)was obtained by subtracting the event-related potential(ERP)elicited by standard stimuli from that elicited by deviant stimuli.The results indicated that the vMMN can be elicited by threat information.More importantly,the phylogenetic threat information elicited larger threat-vMMN than ontogenetic threat information.These findings suggest that perception of threat information was automatic,providing an evidential basis for the attentional advantages of survival processing.That is,automatic perception of phylogenetic threats has a particular evolutionary origin.