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Analysis of Security Challenges and Threats in Social Network and Cloud Computing
Published in Pankaj Bhambri, Sita Rani, Gaurav Gupta, Alex Khang, Cloud and Fog Computing Platforms for Internet of Things, 2022
K.P. Bindu Madavi, P. Vijayakarthik
Social networking is an online platform where people can interact and communicate. In societies, the usage of social networks has rapidly increased. Social media networks have transformed how individuals stay in contact with family, friends, and also, how data are dispersed across the globe. People will share documents, pictures, and videos in the cloud via the Internet. The most popular content in social networks is photos and videos which require maximum space to store. Social networks use cloud technologies as on-demand self-service where no human intervention needs to get resources. Users can access a massive amount of structured and unstructured data from anywhere. The cloud is also useful in data recovery and backup. The user’s private and sensitive data are maintained by social networking sites which might be attractive targets for the different attacks. This brings new threats to the user’s privacy. The most commonly used social networks are Instagram, Facebook, and Twitter.
Social Sensor Networks for Transportation Management in Smart Cities
Published in Mohammad Ilyas, Sami S. Alwakeel, Mohammed M. Alwakeel, el-Hadi M. Aggoune, Sensor Networks for Sustainable Development, 2017
Francesco Chiti, Romano Fantacci, Tommaso Pecorella
Social-network services facilitate their users to share their ideas, opinions, pictures, videos, news, or actually any form of contents in the web. Such social data typically contain highly valuable information, aiding a wide range of applications, for example, allowing social scientists to understand human behaviors, companies to figure out their customers’ preferences, and news agencies to identify significant news. Previously, it was difficult to obtain the rich set of social information or required large amounts of laborious human efforts like conducting surveys and interacting with the users.
The Dynamic Network Evolution of C2 Communications over Time
Published in Pamela Savage-Knepshield, John Martin, John Lockett, Laurel Allender, Designing Soldier Systems, 2018
SNA is based on network theory, which uses graphs as a representation of symmetric or asymmetric relations between discrete objects (Scott 2000). The graph is a mathematical structure to represent pairwise relations between objects. Placed within a social context of humans and their interactions, a social network is a set of individuals (nodes) connected through social interactions like face-to-face or email communication (links). The analysis of these social networks consists of a family of relational methods to systematically uncover patterns of people’s interconnectedness.
Social Entrepreneurship Success: Relevance to Social Mediating Technologies
Published in Journal of Computer Information Systems, 2023
A social network is a form of relationship in which people communicate with each other through various mediating technologies. The gathering of people in a social network creates value for that social group. The social network transmits not only personal news and information, but also societal, community, and corporate news and information. Frequently, any societal movement or activity could be distributed to the citizens through social network sites such as Facebook and Twitter, so people’s opinions can be gathered, formed, and distributed in a short time. The power of social network sites was recently demonstrated in political events such as the Russia-Ukraine war, Ukraine’s protest crisis, and Thailand’s political upheaval crisis, and natural disasters in 2013 such as earthquakes and typhoons in Asia and tornadoes in the U.S., etc. Through social networks, people from all around the world can easily communicate and exchange messages and spontaneously respond to each other.
A novel blockchain-based privacy-preserving framework for online social networks
Published in Connection Science, 2021
Shiwen Zhang, Tingting Yao, Voundi Koe Arthur Sandor, Tien-Hsiung Weng, Wei Liang, Jinshu Su
In recent years, online social networks (OSNs) have become increasingly popular due to the rapid development of mobile applications and the explosive growth in online interaction (J. Sun et al., 2010). A variety of online social networks have emerged, such as Facebook, Twitter, Flickr, Myspace. According to statistics (U.S., 2020), in 2017, there were about 2400 million monthly active users on Facebook worldwide. Usually, a large amount of personal data are collected and managed by online social networks service provider (SNSP). Due to the increasing storage and computation resource demands, more and more companies are outsourcing their data to the cloud for enjoying the benefits brought by cloud computing such as flexible management, cost saving, quickly development, easy data access and excellent computation performance. The SNSP can leverage the cloud to provide more convenient and low latency social network services to registered users, such as retrieving data files, reading data files and sharing data files among users.
Personality traits, psychological well-being, Facebook addiction, health and performance: testing their relationships
Published in Behaviour & Information Technology, 2021
Davoud Nikbin, Mohammad Iranmanesh, Behzad Foroughi
More specifically, with regard to the effects of addiction on physical health, Brunborg et al. (2011) and Fossum et al. (2014) found that overuse of social networks may affect sleep quality. Similarly, other studies reported that users addicted to social networks will have poorer sleep quality and a greater lack of sleep compared to those individuals who are not addicted to social networks (Andreassen et al. 2012; Wolniczak et al. 2013). Other studies have also reported that there is an association between addiction to social networks and insomnia and somatic symptoms (Andreassen et al. 2012; Koc and Gulyagci 2013). Moreover, other empirical studies have also clearly highlighted that addiction to smartphones and social media may lead to insomnia and poor sleep quality (Jenaro et al. 2007; Woods and Scott 2016). Addicts to social networks overuse these platforms, which may result in them having little or no exercise and not enough rest and recovery (Andreassen 2015). Khan (2008) asserted that individuals may encounter physical discomforts, such as headaches, when they overuse their smartphones. Furthermore, users who are addicted to social networks may use these networks while eating, lying in bed, walking, and even maybe while driving, which affects their normal life (Xue et al. 2018). Indeed, Xue et al. (2018) stated that excessive usage of social networks for a long period of time changes users’ needs and may lead to a kind of unhealthy lifestyle that threatens or reduces individuals’ physical health.