scholarly journals An Opinion Evolution Model Based on Heterogeneous Benefit with Malicious Nodes Added

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Junwei Zhao ◽  
Xi Chen

Individuals with different levels of education have substantial differences in their willingness to communicate with malicious nodes in a group; thus, the results of evolution of opinions tend to differ significantly. In this study, malicious nodes, driven by the benefits of a game, were added to groups of individuals with different levels of education, and a theoretical model of the game theory of group opinions that introduces malicious nodes was established. The influence of the proportion of malicious node spreading messages, the extent of tampering when malicious nodes spread messages, and the distribution of education levels in the group on the evolution of group opinions were considered. It was found that the rate of evolution of group opinions declined in groups with higher average education levels. The results of this study can be used to explain the phenomenon of fewer knowledge exchange behaviors in communities with high education levels, as is found in actual sociology. The reason is that highly educated individuals are more affected by distorted news when communicating. Therefore, the loss of communication with malicious nodes is greater, resulting in lower vigilance and willingness to communicate.

2021 ◽  
pp. 136078042110235
Author(s):  
Julia Kazana-McCarthy

The global financial recession which began in 2008 has led to significant economic and social consequences for youth, with the case of Greece being a notable one in terms of severity. Repeated political-economic ‘shocks’ to the structure of Greek society have manifest in common situations of unemployment and underemployment. Although impacting heavily on the working classes, severe curtailments in medium-high-skilled labour have also been observed among the middle classes as well. Following these contexts, the article examines the experiences of highly educated young women in Greece ( n = 36) as they navigate precarious employment within the midst of the Greek economic crisis. It is argued that rather than their educated status offering opportunities to deploy resources to help withstand the crisis, their high education levels create frustrations and barriers towards achieving suitable employment. These perceived mismatches between high education and low status and/or poor-quality work conditions are assessed in the context of research on emerging adulthood.


2020 ◽  
Vol 21 (3) ◽  
pp. 451-462
Author(s):  
Indu Bhardwaj ◽  
Sibaram Khara ◽  
Priestly Shan

Trust plays essential role in any securing communications between Vehicles in IOV. This motivated us to design a trust model for IoV communication. In this paper, we initially review literature on IoV and Trust and present a hybrid trust model that separates the malicious and trusted nodes to secure the interaction of vehicle in IOV. Node segregation is done using value of statistics (St). If St of each node lies in the range of mean (m) plus/minus 2 standard deviation (SD) of PDR then nodes behaviour is considered as normal otherwise malicious. The simulation is conducted for different threshold values. Result depicts that PDR of trusted node is 0.63 that is much higher than the PDR of malicious node that is 0.15. Similarly, the average no. of hops and trust dynamics of trusted nodes are higher than that of malicious node. So, on the basis of values of PDR, number of available hops and trust dynamics, the malicious nodes can be clearly identified and discarded.


2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Zhiming Zhang ◽  
Yu Yang ◽  
Wei Yang ◽  
Fuying Wu ◽  
Ping Li ◽  
...  

The current detection schemes of malicious nodes mainly focus on how to detect and locate malicious nodes in a single path; however, for the reliability of data transmission, many sensor data are transmitted by multipath in wireless sensor networks. In order to detect and locate malicious nodes in multiple paths, in this paper, we present a homomorphic fingerprinting-based detection and location of malicious nodes (HFDLMN) scheme in wireless sensor networks. In the HFDLMN scheme, using homomorphic fingerprint and coding technology, the original data is divided into n packets and sent to the base station along n paths, respectively; the base station determines whether there are malicious nodes in each path by verifying the validity of the packets; if there are malicious nodes in one or more paths, the location algorithm of the malicious node is implemented to locate the specific malicious nodes in the path; if all the packets are valid, the original data is recovered. The HFDLMN scheme does not need any complex evaluation model to evaluate and calculate the trust value of the node, nor any monitoring nodes. Theoretical analysis results show that the HFDLMN scheme is secure and effective. The simulation results demonstrate promising outcomes with respect to key parameters such as the detection probability of the malicious path and the locating probability of the malicious node.


2018 ◽  
Author(s):  
Nicole Senft ◽  
Jordan Everson

BACKGROUND eHealth provides individuals with new means of accessing health information and communicating with providers through online channels. Prior evidence suggests that patients use eHealth to find information online when they receive care that is low in patient centeredness. However, it is unclear how other problems with the healthcare-delivery system motivate the use of eHealth, how these problems relate to different kinds of eHealth activities, and which populations are most likely to use eHealth when they receive low-quality care. OBJECTIVE We aimed to determine how two types of negative care experiences—low patient centeredness and care coordination problems—motivate the use of different eHealth activities, and whether more highly educated individuals, who may find these tools easier to use, are more likely to use eHealth following negative experiences than less highly educated individuals. METHODS Using nationally representative data from the 2017 Health Information National Trends Survey, we used factor analysis to group 25 different eHealth activities into categories based on the correlation between respondents’ reports of their usage. Subsequently, we used multivariate negative binomial generalized linear model regressions to determine whether negative healthcare experiences predicted greater use of these resulting categories. Finally, we stratified our sample based on education level to determine whether the associations between healthcare experiences and eHealth use differed across groups. RESULTS The study included 2612 individuals. Factor analysis classified the eHealth activities into two categories: provider-facing (eg, facilitating communication with providers) and independent (eg, patient-driven information seeking and communication with non-providers). Negative care experiences were not associated with provider-facing eHealth activity in the overall population (care coordination: P=.16; patient centeredness: P=.57) or among more highly educated respondents (care coordination: P=.73; patient centeredness: P=.32), but respondents with lower education levels who experienced problems with care coordination used provider-facing eHealth more often (IRR=1.40, P=.07). Individuals engaged in more independent eHealth activities if they experienced problems with either care coordination (IRR=1.15 P=.01) or patient-centered communication (IRR=1.16, P=.01). Although care coordination problems predicted independent eHealth activity across education levels (higher education: IRR=1.13 P=.01; lower education: IRR=1.19, P=.07), the relationship between low perceived patient centeredness and independent activity was limited to individuals with lower education levels (IRR=1.25, P=.02). CONCLUSIONS Individuals use a greater number of eHealth activities, especially activities that are independent of healthcare providers, when they experience problems with their healthcare. People with lower levels of education seem particularly inclined to use eHealth when they have negative healthcare experiences. To maximize the potential for eHealth to meet the needs of all patients, especially those who are traditionally underserved by the healthcare system, additional work should be performed to ensure that eHealth resources are accessible and usable to all members of the population.


2021 ◽  
pp. 164-167
Author(s):  
Samuel Cohn

This chapter studies how women's power is one of the fundamental determinants of not only economic growth but also education levels, ecological sustainability, and social peace. Why does women's power produce social and economic benefit? A key consideration is that women who are highly educated or have access to their own sources of income have lower fertility. Women with money and career opportunities are less dependent on their husbands for economic survival and can afford to stand up to argue for their own interests. However, fertility reduction tells part of the story about why empowering women produces social development; there are other considerations at work as well. If women are educated, they become more productive, and the labor force becomes more productive. Women's labor force participation is linked to the presence of industries that employ a lot of women. Women's power also increases the human capital of future generations. Meanwhile, the statistical correlation between female social power and reduced warfare is explained in part by the historical record of women participating in peacekeeping activities.


2020 ◽  
Vol 10 (4) ◽  
pp. 209
Author(s):  
Shervin Assari

Ethnicity and educational attainment are among the major social determinants of depression in the general population. While high education credentials protect individuals against depressive symptoms, this protection may be weaker for ethnic minority groups such as Hispanic Whites compared to the majority group (non-Hispanic Whites). Built on marginalization-related diminished returns (MDRs), the current study used 24-year follow-up data from a nationally representative sample of middle-aged and older adults to explore ethnic variation in the protective effect of education levels against the burden of depressive symptoms over time. Data for this analysis were borrowed from the Health and Retirement Study (HRS 1992–ongoing), a nationally representative longitudinal study. HRS followed 8314 middle-aged and older adults (50+ years old) for up to 24 years. From this number, 763 (9.2%) were Hispanic White, and 7551 (90.8%) were non-Hispanic White Americans. Education level was the independent variable. We had two outcomes. Firstly, using cluster analysis, individuals were categorized to low- and high-risk groups (regarding the burden of depressive symptoms over 24 years); secondly, average depressive symptoms were observed over the 24 years of follow up. Age and gender were the covariates. Ethnicity was the moderator. Linear and logistic regression were used for analysis. Logistic regression showed that, overall, high educational credentials reduced the odds of chronic depressive symptoms over the 24 years of follow-up. Linear regression also showed that higher years of education were associated with lower average depressive symptoms over time. Both models showed statistically significant interactions between ethnicity and graduation, indicating a smaller protective effect of high education against depressive symptoms over the 24 years of follow-up time among Hispanic with respect to non-Hispanic White people. In line with the MDRs, highly educated Hispanic White Americans remain at high risk for depressive symptoms, a risk that is unexpected given their education. The burden of depressive symptoms, however, is lowest for highly educated non-Hispanic White Americans. Policies that exclusively focus on equalizing educational gaps across ethnic groups may fail to eliminate the ethnic gap in the burden of chronic depressive symptoms, given the diminished marginal health return of education for ethnic minorities. Public policies must equalize not only education but also educational quality across ethnic groups. This aim would require addressing structural and environmental barriers that are disproportionately more common in the lives of ethnic minorities across education levels. Future research should test how contextual factors, residential segregation, school segregation, labor market practices, childhood poverty, and education quality in urban schools reduce the health return of educational attainment for highly educated ethnic minorities such as Hispanics.


Medicina ◽  
2020 ◽  
Vol 56 (5) ◽  
pp. 211
Author(s):  
Agnieszka Turoń-Skrzypińska ◽  
Wioletta Pawlukowska ◽  
Aleksandra Szylińska ◽  
Natalia Tomska ◽  
Anna Mikołajczyk-Kocięcka ◽  
...  

Background and Objectives: Playing competitive sports is associated with stress, especially during the starting season. Disabled athletes are additionally burdened with physical and/or emotional factors, resulting from the trauma they have experienced. The aim of the work was to assess the relationship between strategies of coping with stress and the level of education, category of disability and its duration of handcyclists before the competition. Materials and Methods: 44 handcyclists with a mean age of 41.8 ± 11.6, from European countries, were divided according to the severity of mobility impairments, education and duration of the disability. The participants were asked to fill in the Mini-COPE Inventory for Measuring Coping with Stress, which provided answers in writing to some sociodemographic questions regarding age, sex, education, type of mobility impairment and duration of the disability. Results: The subjects who had suffered spinal injury at the cervical section obtained the lowest scores regarding their subjective assessment of their active stress management in difficult situations (p = 0.007). They scored the lowest, 1.5 points, when asked about acceptance in difficult circumstances compared to those with university education (p = 0.02). A statistically significant correlation was found to exist between education levels and positive revaluation, acceptance and seeking instrumental support. A negative correlation was observed between education and sustained use of psychoactive substances and denial. Conclusions: Highly educated cyclists with short-lasting disability, damage to the lower spine section or amputations tend to cope better with stress than other study participants.


Author(s):  
Frank T. Denton ◽  
Peter C. Pineo ◽  
Byron G. Spencer

ABSTRACTMicro-data from a 1984 survey of adult education in Canada are used in the study. The data for persons 65 years of age and over are analysed using probit techniques. Prior level of education is found to be of considerable importance in determining the probabilities that elderly people will make use of adult education facilities. It is argued that future elderly population cohorts will have higher average education levels than present ones and that their members will therefore be more likely to take courses. Projections of increases in course enrolment by persons 65 and over are made for the next quarter century, based on the results of the probit analysis and projections of the population.


2016 ◽  
Vol 2016 ◽  
pp. 1-20 ◽  
Author(s):  
Kresimir Grgic ◽  
Drago Zagar ◽  
Visnja Krizanovic Cik

The trend of implementing the IPv6 into wireless sensor networks (WSNs) has recently occurred as a consequence of a tendency of their integration with other types of IP-based networks. The paper deals with the security aspects of these IPv6-based WSNs. A brief analysis of security threats and attacks which are present in the IPv6-based WSN is given. The solution to an adaptive distributed system for malicious node detection in the IPv6-based WSN is proposed. The proposed intrusion detection system is based on distributed algorithms and a collective decision-making process. It introduces an innovative concept of probability estimation for malicious behaviour of sensor nodes. The proposed system is implemented and tested through several different scenarios in three different network topologies. Finally, the performed analysis showed that the proposed system is energy efficient and has a good capability to detect malicious nodes.


2019 ◽  
Vol 4 (12) ◽  
pp. 65-70
Author(s):  
Md. Mustafejur Rahman ◽  
Md. Mustafizur Rahman ◽  
Saif Ibne Reza ◽  
Sumonto Sarker ◽  
Md. Mehedi Islam

Duplicate Address Detection (DAD) is one of the most interesting features in IPv6. It allows nodes to connect to a network by generating a unique IP address. It works on two Neighbor Discovery (ND) messages, namely, Neighbor Solicitation (NS) and Neighbor Advertisement (NA). To verify the uniqueness of generating IP, it sends that IP address via NS message to existing hosts. Any malicious node can receive NS message and can send a spoof reply, thereby initiates a DoS attack and prevents auto configuration process. In this manner, DAD is vulnerable to such DoS attack. This study aims to prevent those malicious nodes from sending spoof reply by securing both NS and NA messages. The proposed Advanced Bits Security (ABS) technique is based on Blake2 algorithm and introducing a creative option called ABS field that holds the hash value of tentative IP address and attached to both NA and NS message. We expect the ABS technique can prevent spoof reply during DAD procedure in link local network and can prevent DoS attack


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