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1.
1st International Conference on Computing, Communication and Green Engineering, CCGE 2021 ; 2021.
Article in English | Scopus | ID: covidwho-1901426

ABSTRACT

DDoS attacks are noticed from last many years but due to growing figure of such attacks in present time increases the awareness of them. Many researchers proposed useful detection and mitigation methods for such DDoS attacks. DDoS attack is somewhat simple to perform, hard to safeguard against, and the aggressor is once in a while followed back. The assailant dispatches a DDoS assault utilizing a botnet to produce immense measure of traffic against a casualty's web worker. The casualty might be a business association, government, or basic framework. The wellspring of the attack can be any gadget associated with the web. During the last one and half year of covid-19 pandemic, the exponential growth of about 542% for such attacks is noticed. As all the organizations started working online, the security solutions that provide a safe and secure online working environment are required more. Software-Defined Networks solution is the better option for such requirements. It is a stage towards the foundation of a dynamic and unified nature of the organization. In this paper, we have reviewed that challenges and solutions for SDN networks. The study reveals important detection and mit-igation methods and strategies against DDoS attacks. © 2021 IEEE.

2.
2nd International Conference on Communication and Artificial Intelligence, ICCAI 2021 ; 435:399-407, 2022.
Article in English | Scopus | ID: covidwho-1872370

ABSTRACT

During the most recent two years of Covid-19, the vast majority of the work will be performed web based utilizing normal correspondence channel by associations including significant reports trade. Trading significant reports are unsafe to send straightforwardly, even we are seeing different extortion cases, data burglary cases, identity robbery, marital cheats, Internet shopping fakes, and so on. In these cases assailant takes your own data or reports and abuses them for some off-base purposes. To ensure your data or report during trading them online steganography is a valuable methodology. In this paper, we will propose a significant and inventive plan utilizing LSB method with shading pictures. To work on the security of the message, we will apply AES encryption plan and afterward utilize the picture steganography with LSB method. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

3.
International Journal of Computers, Communications and Control ; 17(3), 2022.
Article in English | Scopus | ID: covidwho-1863433

ABSTRACT

This article focuses on implementing wireless sensors for monitoring exact distance between two individuals and to check whether everybody have sanitized their hands for stopping the spread of Corona Virus Disease (COVID). The idea behind this method is executed by implementing an objective function which focuses on maximizing distance, energy of nodes and minimizing the cost of implementation. Also, the proposed model is integrated with a variance detector which is denoted as Controlled Incongruity Algorithm (CIA). This variance detector is will sense the value and it will report to an online monitoring system named Things speak and for visualizing the sensed values it will be simulated using MATLAB. Even loss which is produced by sensors is found to be low when CIA is implemented. To validate the efficiency of proposed method it has been compared with prevailing methods and results prove that the better performance is obtained and the proposed method is improved by 76.8% than other outcomes observed from existing literatures. © 2022. by the authors. Licensee Agora University, Oradea, Romania.

4.
Bali Journal of Anesthesiology ; 4(6):S31-S35, 2020.
Article in English | Scopus | ID: covidwho-1471077

ABSTRACT

Currently, COVID-19 is spreading rapidly and presenting with different clinical features with different mortality rates worldwide. In the initial days of the pandemic, most of the patients presented with the complaints of lower respiratory tract infection of varying severity, and most of the deaths were also attributable to respiratory failure. As time progressed, more atypical presentations and causes of mortality were encountered according to different age groups. In the present scenario, a surge of COVID-19 cases is expected. Those new cases will also include patients with various problems requiring surgical interventions. In this brief review, we have discussed various presentations and mortality risks of COVID-19 infections in different age groups. We did literature searched on the PubMed database and included studies published in 2019 and 2020. Altogether, 503 articles were retrieved out of which 31 were analyzed to put up this summary. Important atypical findings in neonates and infants were axial hypotonia, drowsiness, moaning sound, intussusception, and late-onset neonatal sepsis with the cause of death being multi-organ failure. Frequently reported comorbidities among children were hydronephrosis, leukemia, and intussusception. Observed risk factors for unfavorable outcome in the adult population were obesity, HIV, tuberculosis, and the intake of immunosuppressive agents in the form of anticancer drugs and steroids. The factors adding to the vulnerability in the elderly population could be enumerated as diabetes, hypertension, ischemic heart diseases, obesity, and cancers. © 2020 Bali Journal of Anesthesiology ;Published by Wolters Kluwer-Medknow.

5.
Journal of Pathology ; 255:S36-S36, 2021.
Article in English | Web of Science | ID: covidwho-1431407
6.
International Conference on Communication and Artificial Intelligence, ICCAI 2020 ; 192 LNNS:579-587, 2021.
Article in English | Scopus | ID: covidwho-1340449

ABSTRACT

The use of online applications is increasing regularly, and during this COVID-19 pandemic, its usefulness is envisaged to all of us. Data sharing either in the form of text, videos, or audio is the main requirement for online meeting or discussions, and during COVID-19 pandemic, most of the meetings like business, learning, presentation, or other types from private business sector to government are done through online applications. These applications are accessible through Internet from devices like mobile devices, laptops, palmtops, or desktop computers. Now, with the use of these online meeting and data sharing applications, the need of data security also increases. During this COVID-19, the activities of intruder in online applications have been noticed more than before. IDS solutions provide security against such problems. The IDS solutions are categorized into two categories according to their nature of work: (i) The Network-based Intruder Detection Systems (NIDS) and (ii) The Host-based Intruder Detection System (HIDS). In this paper, we are proposing a model Host-based Intruder Detection and Alert System (HIDAS) for securing the data and applications from such intruder attacks for public cloud computing H machines. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

7.
International Conference on Communication and Artificial Intelligence, ICCAI 2020 ; 192 LNNS:529-537, 2021.
Article in English | Scopus | ID: covidwho-1340448

ABSTRACT

Cloud servers or Host machines are having a sufficient number of computing resources, and these resources will be shared among its client applications as per the requirement. The traffic on the cloud servers or Host machines is unpredictable, and the demand may increase or decrease with a great variations many times. Even there are lots of reasons of such variations in traffic, here we are not going to discuss such reasons. During the COVID-19 pandemic, most of the meetings, teaching–learning, documents exchanging, etc. are performed using online applications. It is noticed that the both data and processing load are increased in multiple times during the last six months on the social networking sites, and clients faced the problem of low connectivity and slow processing of applications. These cases show that there is very great requirement of load balancing of computing resources on cloud servers to maintain the smooth processing of tasks. In this paper, our main focus is to measure the impacts of scheduling interval on dynamic resource allocation and to calculate the demand of resources dynamically on the basis of dynamic creation or deletion of virtual machines to serve the cloudlet load efficiently. Dynamic resource scaling can be done either horizontally or vertically. In horizontal dynamic resource scaling, the Host machines are equipped with the more number of resources rather than increasing the number of Host machines. In cloud computing, the service provider’s intention is to provide a cost-effective and efficient service support to its clients. The resources and services in cloud computing are on the pay-per-use basis, and hence, the horizontal dynamic resource scaling provides a good cost-effective solution for the resource requirement. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

8.
J Healthc Qual Res ; 37(1): 20-27, 2022.
Article in English | MEDLINE | ID: covidwho-1322206

ABSTRACT

BACKGROUND: Frontline healthcare workers (F-HCWs) are at the forefront of medical care providers against the novel coronavirus 2019 (COVID-19) pandemic which has life-threatening potentials. Inadequate knowledge and incorrect attitudes among HCWs can directly influence practices and lead to delayed diagnosis, poor infection control practices, and spread of disease. OBJECTIVES: The aim of this study was to assess the knowledge, attitude and practice (KAP) regarding the COVID-19 pandemic among the frontline healthcare workers (F-HCWs) working at a tertiary care hospital situated in eastern Uttar Pradesh and to identify the factors significantly associated with KAP. METHODS: A cross-sectional study was conducted among 260 health care providers across eastern Uttar Pradesh including Basti city during December 2020. Data was collected using a self-primed pretested questionnaire from the FHCWs working at a tertiary care hospital of eastern Uttar Pradesh. In this survey, a convenience sampling method was adopted. 12 items on knowledge, 10 items on attitude, and 5 items on practices related to COVID-19. The other variables consisted of 4 items on socio-demographic attributes, p-value and 95% confidence intervals (CIs) were performed to assess the attitude and practices in relation to knowledge. RESULTS: Of the total 260 study population, 228 were interviewed online, 32 were self-administered. Knowledge and attitude of the nursing staff were highest but practice score was best for residents. Among different age groups knowledge, attitude and practices scores were highest for 35-45, 45-60 and 25-35 age groups respectively. Respondents having 5-10 years of experience had the best knowledge and the attitude score was highest for HCWs having 10-20 years' experience but the practice score was higher for HCWs having more than 20 years' work experience. Overall knowledge score of respondents having strong correlation with attitude (p<0.05) and to the practice (p<0.05). CONCLUSION: In this survey many F-HCWs reported adequate overall knowledge with a positive attitude and adopted appropriate practices. The F-HCWs with a higher level of education and more years of experience in health care facilities had better KAP towards COVID-19.


Subject(s)
COVID-19 , Pandemics , Cross-Sectional Studies , Health Knowledge, Attitudes, Practice , Health Personnel , Humans , Pandemics/prevention & control , SARS-CoV-2
9.
Journal of Neuroanaesthesiology and Critical Care ; 7(3):160-162, 2020.
Article in English | EMBASE | ID: covidwho-1260976
11.
Proceedings of the 2020 9th International Conference on System Modeling and Advancement in Research Trends, SMART 2020 ; : 286-291, 2020.
Article in English | Scopus | ID: covidwho-1109424

ABSTRACT

Innovative and useful cloud based applications are increasing regularly as its demand also growing. The computing load, either processing or data load, on such application has been increased in multiples during the covid-19 pandemic, because everyone likes to do its jobs through online solutions either for meeting, teaching-learning, presentation, discussion, social data sharing, etc. as these are safe and secure solutions for all. This all increases the computing load proportionally the requirement of resources on the cloud server or Host machine. The host machine is the physical machine that contains the computing resources like storage, processors, bandwidth etc. for cloud based applications. These computing resources are shared and managed between multiple virtual machines in such an efficient manner that if computing load increases very much on some applications, while at the same time on the same server other application's resource utilization in underuse, then these resources will be shared to the applications currently having overloaded with the processing load. As cloud computing provides a pay-per-use model and hence if the resources utilization is managed efficiently and effectively the processing cost incurred to the client or provider will be more cost effective. So, in this paper we will measure the effectiveness of scheduling interval against increasing VM load on rapid elasticity for the existing cloud infrastructure available on the Host Machine. © 2020 IEEE.

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