scholarly journals Simultaneous Distributed Estimation and Attack Detection/Isolation in Social Networks: Structural Observability, Kronecker-Product Network, and Chi-Square Detector

Author(s):  
Mohammadreza Doostmohammadiany ◽  
Themistoklis Charalambous ◽  
Miadreza Shafie-khah ◽  
Nader Meskin ◽  
Usman A. Khan
2016 ◽  
Vol 2016 ◽  
pp. 1-16 ◽  
Author(s):  
Bo Zhang ◽  
Qianqian Song ◽  
Tao Yang ◽  
Zhonghua Zheng ◽  
Huan Zhang

While the mechanism of reputation aggregation proves to be an effective scheme for indicating an individual’s trustworthiness and further identifying malicious ones in mobile social networks, it is vulnerable to collusive attacks from malicious nodes of collaborative frauds. To conquer the challenge of detecting collusive attacks and then identifying colluders for the reputation system in mobile social networks, a fuzzy collusive attack detection mechanism (FCADM) is proposed based on nodes’ social relationships, which comprises three parts: trust schedule, malicious node selection, and detection traversing strategy. In the first part, the trust schedule provides the calculation method of interval valued fuzzy social relationships and reputation aggregation for nodes in mobile social networks; further, a set of fuzzy valued factors, that is, item judgment factor, node malicious factor, and node similar factor, is given for evaluating the probability of collusive fraud happening and identifying single malicious nodes in the second part; and moreover, a detection traversing strategy is given based on random walk algorithm under the perspectives of fuzzy valued nodes’ trust schedules and proposed malicious factors. Finally, our empirical results and analysis show that the proposed mechanism in this paper is feasible and effective.


2019 ◽  
Author(s):  
Rashid Heidari Moghadam ◽  
Mohammad Babamiri ◽  
Fakhradin Ghasemi ◽  
Mohammad Ebrahim Ghaffari ◽  
Mahdi Razie ◽  
...  

Abstract Background The high prevalence and also multiple consequences of addiction to various online content, including online games and social networks, have become a major challenge. The ability to predict musculoskeletal disorders from this addiction can help reveal in students' health status in the near future. The aim of this study was to determine the prevalence of this addiction and the ability to predict neck pain from this matter in students. Methods This study was carried out among 665 students. Data collection was performed through three questionnaires on problematic use of online games, social networking addiction, and Nordic musculoskeletal disorders. Data were compared with Chi-square and independent T-test, and the logistic regression model was then presented at a significant level of 0.05. Finally, the area under the receiver operating characteristic (ROC) curve and Discriminant analysis with SPSS and STATA software were conducted to clarify associations. Results The prevalence of Internet-related content addiction was 32.8%. The results showed that addiction to social networks and online games can increase the risk of neck disorder. Also 0.58 area under ROC curve depicted the ability to predict neck pain from this addiction. Conclusions In students with internet - related content addiction, neck disorder can be predicted. Given the high prevalence of internet addiction in students, it is essential to take immediate and appropriate interventions to avoid the associated adverse effects such as neck problems.


2016 ◽  
Vol 18 (1) ◽  
Author(s):  
Julius O. Okesola ◽  
Adebukola Onashoga ◽  
Afolakemi Ogunbanwo

Background: Social networks (SNs) offer new and exciting opportunities for interaction among people, cutting across different stratum of the society and providing a ubiquitous mechanism that supports a wide variety of activities. They are at the same time being exploited by criminals to fraudulently obtain information from unsuspecting users. Unfortunately, the seamless communication and semblance of safety assumed by most users make them oblivious to the potential online dangers.Objective: Using quantitative methods on selected social sites, this study empirically examined the information security awareness of SN users in south western Nigeria.Method: A self-designed research instrument was administered for data collection while descriptive and inferential statistics were employed using chi-square, cross-tabulation and t-test for data analysis and result interpretation.Result: Findings from the analysed data suggest that the risk perception vary among male and female SN users and that the general perception of risks regarding SN usage is also very low.Conclusion: Adequate security awareness coupled with detailed legal measures are required to keep SNs secured. However, an individual is duly responsible for the habit of ignoring potential risks posed by the networks.


2014 ◽  
Vol 22 (02) ◽  
pp. 233-249
Author(s):  
Milcah Mulu-Mutuku ◽  
Gregory Simiyu Namusonge ◽  
Margaret Adhiambo Odhuno

This paper examines the usefulness of support services to manufacturing microenterprises as perceived by the microenterprise owners. In Kenya, there is an emphasis on financial support services at the expense of other services but evidence of their usefulness to the survival and maintenance of manufacturing microenterprises is scarce. Convenience sampling was used to select 172 manufacturing microenterprises that had received any kind of support. Data was collected through researcher-administered questionnaires and analysed using frequencies, percentages and chi-square tests. Results revealed that though financial support was utilised by almost two thirds of the enterprises, over three quarters of the owners did not perceive it as useful, mainly due to the little amount of money given as credit. Training was considered useful to microenterprises, especially in the areas of record keeping and marketing. Social networks, in terms of ROSCAs, friends and relatives, were the major sources of support for manufacturing microenterprises.


2020 ◽  
Vol 12 (3) ◽  
pp. 1160 ◽  
Author(s):  
Petra Marešová ◽  
Oluwaseun Fadeyi ◽  
Kamil Kuča

Social media use is currently on the rise and companies find it useful for communicating with their customers or business associates. This paper aims to analyze perceived benefits and the use of social networks in Czech companies in relation to certain specifics of the company. A questionnaire survey was done in cooperation with the Regional Economic Chamber of Hradec Kralove region and a return rate of 2% was achieved. The Chi-square test and the Mann-Whitney test was used to understand the strength of the intensity of dependence of the basis of model coefficients. It was discovered that 55% of the companies surveyed use social networks, while 80% of companies regard them as an important part of business. Significant differences in the use of social networks were found based on the industries in which firms do their business. Industrial companies do not use social networks, compared to 72% of companies doing business in services who use social networks. It was also found that companies with more than 200 customers use social networks the most. Overall, the use of social networks in the Czech companies is low. The fact that only 52% of respondents analyze their efforts on social networks is especially startling. This results in unfulfilled organizational potential, which is more significant especially when compared with the results of foreign studies where the social networks are used by up to 96%.


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