Propagation model of smartphone worms based on semi-Markov process and social relationship graph

Smartphone applications are getting more and more popular and pervasive in our daily life, and are also attractive to malware writers due to their limited computing source and vulnerabilities. At the same time, we possess limited understanding of our opponents in cyberspace. In this paper, we investigate the propagation model of SMS/MMS-based worms through integrating semi-Markov process and social relationship graph. In our modeling, we use semi-Markov process to characterize state transition among mobile nodes, and hire social network theory, a missing element in many previous works, to enhance the proposed mobile malware propagation model. In order to evaluate the proposed models, we have developed a specific software, and collected a large scale real-world data for this purpose. The extensive experiments indicate that the proposed models and algorithms are effective and practical. © 2014 Elsevier Ltd. All rights reserved.

Utility-aware social network graph anonymization

As the need for social network data publishing continues to increase, how to preserve the privacy of the social network data before publishing is becoming an important and challenging issue. A common approach to address this issue is through anonymization of the social network structure. The problem with altering the structure of the links relationship in social network data is how to balance between the gain of privacy and the loss of information (data utility). In this paper, we address this problem. We propose a utility-aware social network graph anonymization. The approach is based on a new metric that calculates the utility impact of social network link modification. The metric utilizes the shortest path length and the neighborhood overlap as the utility value. The value is then used as a weight factor in preserving structural integrity in the social network graph anonymization. For any modification made to the social network links, the proposed approach guarantees that the distance between vertices in the modified social network stays as close as the original social network graph prior to the modification. Experimental evaluation shows that the proposed metric improves the utility preservation as compared to the number-of-change metric.

Preserving utility in social network graph anonymization

To protect from privacy disclosure, the social network graph is modified in order to hide the information that potentially be used to disclose person's identity. However, when the social network graph is changed, it is a great challenge to balance between the privacy gained and the loss of data utility. In this paper, we address this problem. We propose a new graph topological-based metric to improve utility preservation in social network graph anonymization. We compare the proposed approach with the amount-of-edge-change metric that popularly used in most of previous works. Experimental evaluation shows that our approach generates anonymized social network with improved utility preservation.

Modeling malware propagation in smartphone social networks

Smartphones have become an integral part of our everyday lives, such as online information accessing, SMS/MMS, social networking, online banking, and other applications. The pervasive usage of smartphones also results them in enticing targets of hackers and malware writers. This is a desperate threat to legitimate users and poses considerable challenges to network security community. In this paper, we model smartphone malware propagation through combining mathematical epidemics and social relationship graph of smartphones. Moreover, we design a strategy to simulate the dynamic of SMS/MMS-based worm propagation process from one node to an entire network. The strategy integrates infection factor that evaluates the propagation degree of infected nodes, and resistance factor that offers resistance evaluation towards susceptible nodes. Extensive simulations have demonstrated that the proposed malware propagation model is effective and efficient.

Mining mechanism of top-k influential nodes based on voting algorithm in mobile social networks

In recent years, evaluating the influence of nodes and finding top-k influential nodes in social networks, has drawn a wide attention and has become a hot-pot research issue. Considering the characteristics of social networks, we present a novel mechanism to mine the top-k influential nodes in mobile social networks. The proposed mechanism is based on the behaviors analysis of SMS/MMS (simple messaging service / multimedia messaging service) communication between mobile users. We introduce the complex network theory to build a social relation graph, which is used to reveal the relationship among people's social contacts and messages sending. Moreover, intimacy degree is also introduced to characterize social frequency among nodes. Election mechanism is hired to find the most influential node, and then a heap sorting algorithm is used to sort the voting results to find the k most influential nodes. The experimental results show that the mechanism can finds out the most influential top-k nodes efficiently and effectively. © 2013 IEEE.

Social relationship correlates of major depressive disorder and depressive symptoms in Switzerland: nationally representative cross sectional study

BACKGROUND The quality and quantity of social relationships are associated with depression but there is less evidence regarding which aspects of social relationship are most predictive. We evaluated the relative magnitude and independence of the association of four social relationship domains with major depressive disorder and depressive symptoms. METHODS We analyzed a cross-sectional telephone interview and postal survey of a probability sample of adults living in Switzerland (N = 12,286). Twelve-month major depressive disorder was assessed via structured interview over the telephone using the Composite International Diagnostic Interview (CIDI). The postal survey assessed depressive symptoms as well as variables representing emotional support, tangible support, social integration, and loneliness. RESULTS Each individual social relationship domain was associated with both outcome measures, but in multivariate models being lonely and perceiving unmet emotional support had the largest and most consistent associations across depression outcomes (incidence rate ratios ranging from 1.55-9.97 for loneliness and from 1.23-1.40 for unmet support, p's < 0.05). All social relationship domains except marital status were independently associated with depressive symptoms whereas only loneliness and unmet support were associated with depressive disorder. CONCLUSIONS Perceived quality and frequency of social relationships are associated with clinical depression and depressive symptoms across a wide adult age spectrum. This study extends prior work linking loneliness to depression by showing that a broad range of social relationship domains are associated with psychological well-being.

Stigma, social relationship and HIV testing in the workplace : evidence from South Africa

This paper explores whether a worker's unwillingness to make his/her HIV-positive status or test-taking experience known by colleagues impedes his/her decision to test for HIV. After analyzing the new survey data provided by employees working for a large multinational enterprise in South Africa (2009-2010), this study finds that this unwillingness is negatively associated with test-taking (at the enterprise's on-site clinic) of workers who are extensively networked with close colleagues (i.e., know their phone numbers). It appears that the expected disutility associated with HIV/AIDS-related stigma prohibits test uptake. When introducing HIV counseling and testing programs into a corporate sector, providing all workers with an excuse to test in the workplace and/or inducing them to privately test outside the workplace may be effective in encouraging the uptake.

Containing smartphone worm propagation with an influence maximization algorithm

In recent years, wide attention has been drawn to the problem of containing worm propagation in smartphones. Unlike existing containment models for worm propagation, we study how to prevent worm propagation through the immunization of key nodes (e.g.; the top k influential nodes). Thus, we propose a novel containment model based on an influence maximization algorithm. In this model, we introduce a social relation graph to evaluate the influence of nodes and an election mechanism to find the most influential nodes. Finally, this model provides a targeted immunization strategy to disable worm propagation by immunizing the top k influential nodes. The experimental results show that the model not only finds the most influential top k nodes quickly, but also effectively restrains and controls worm propagation.

First-priority relation graph-based malicious users detection in mobile social networks

Mobile social networks (MSNs) consist of many mobile users (individuals) with social characteristics, that provide a variety of data delivery services involving the social relationship among mobile individuals. Because mobile users move around based on their common interests and contact with each other more frequently if they have more social features in common in MSNs. In this paper, we first propose the first-priority relation graph, say FPRG, of MSNs. However, some users in MSNs may be malicious. Malicious users can break the data delivery through terminating the data delivery or tampering with the data. Therefore, malicious users will be detected in the process of looking for the data delivery routing to obtain efficient and reliable data delivery routing along the first-priority relation graph. Secondly, we propose one hamiltonian cycle decomposition of FPRG-based adaptive detection algorithm based on in MSNs under the PMC detection model (the system-level detection model).

Cultivating Innovation through Social Relationships: A Qualitative Study of Outstanding Australian Innovators in Science, Technology and the Creative Industries

In this chapter, we describe and explore social relationship patterns associated with outstanding innovation. In doing so, we draw upon the findings of 16 in-depth interviews with award-winning Australian innovators from science & technology and the creative industries. The interviews covered topics relating to various influences on individual innovation capacity and career development. We found that for all of the participants, innovation was a highly social process. Although each had been recognised individually for their innovative success, none worked in isolation. The ability to generate innovative outcomes was grounded in certain types of interaction and collaboration. We outline the distinctive features of the social relationships which seem to be important to innovation, and ask which ‘social network capabilities’ might underlie the ability to create an optimal pattern of interpersonal relationships. We discuss the implications of these findings for universities, which we argue play a key role in the development of nascent innovators.

Hekate, de deusa ctônica dos atenienses do período clássico à deusa da feitiçaria no imaginário social do Ocidente

Nosso eixo temático se desenvolve a partir do questionamento do epíteto de Deusa da Feitiçaria atribuído tardiamente à deidade grega Hekate. A partir do período Clássico em Atenas iniciaram-se críticas às práticas mágico-religiosas cujo objetivo era fazer mal ao inimigo; realizadas por indivíduos (mágoi - magos) os quais também sabiam utilizá-las para a cura, como o uso das phármaka (ervas). O desenvolvimento da Escola de Medicina Hipocrática, no período Clássico, e seus tratados médicos, se configuram como uma das críticas direcionadas aos mágoi e das divindades que evocavam em suas práticas mágicas. Um tratado em especial, Da Doença Sagrada, combate a divinização da epilepsia e as práticas curativas desta enfermidade através da persuasão dos deuses. Platão também teceu críticas aos que ofereciam seus serviços mágicos de porta em porta por uma pequena quantia. Acreditamos que a partir dessas críticas se desenvolveu no imaginário social ateniense a relação entre a deusa grega Hekate e a magia de fazer mal ao inimigo cuja permanência é observada nos dias atuais. Nosso arcabouço teórico constitui-se dos conceitos desenvolvidos pelo filósofo polonês Bronislaw Baczko no verbete imaginação social na Enciclopedia Einaudi.

The impact of living environment on satisfaction with social relationships upon commencing university

Making the transition to university is a significant life event for many young people. It is believed that strong social relationships can help make this transition more successful. In this study, 201 full-time, first year university students completed a survey in order to examine whether those students who remained living with their parents differed on a range of social relationship variables compared to those who lived on-campus or off-campus independently from their parents. Results revealed that students living independently off-campus reported significantly lower satisfaction with their living environment and opportunities to make new friends at university, as well as significantly higher levels of depression, and higher levels of loneliness which approached significance. These findings indicate that universities may need to focus more attention on this particular sub-group, in an attempt to increase the successful transition of students from high school to university. Future research could endeavour to develop strategies for increasing university students' social relationships and support networks.

Tecnoburocracia e classe social: algumas questões conceituais e mobilidade interna

Este texto objetiva apresentar as principais interpretações a respeito do papel da tecnoburocracia no conjunto das relações sociais, como suporte para uma especulação sobre fatores como solidariedade e participação no produto do trabalho social, característicos deste grupo. Para tanto, desenvolve um levantamento inicial de alguns dos principais autores que se preocupam com o tema.

Falso trabalho de parto: compreendendo os motivos da procura precoce à maternidade através da fenomenologia social

Pós-graduação em Enfermagem (mestrado profissional) - FMB

Patologias sociais contemporâneas: os paradoxos da modernidade na sociedade brasileira do século XXI e a luta social contra a figura do diabo

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)