• International Journal of Computer Science & Network Security
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• 제21권1호
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• pp.174-183
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• 2021

The advent of social media has revolutionized the speed of communication between millions of people around the world in various cultures and disciplines. Social media is the best platform for exchanging opinions and ideas, interacting with other users of similar interests and sharing different types of media and files. With the phenomenal increase in the use of social media platforms, the need to pay attention to protection and security from attacks and misuse has also increased. The present study conducts a comprehensive survey of the latest and most important research studies published from 2018-20 on security and privacy on social media and types of threats and attacks that affect the users. We have also reviewed the recent challenges that affect security features in social media. Furthermore, this research pursuit also presents effective and feasible solutions that address these threats and attacks and cites recommendations to increase security and privacy for the users of social media.

• International Journal of Computer Science & Network Security
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• 제24권2호
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• pp.189-195
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• 2024

The issue "Exploring Social Media and Other Crucial Success Elements of Attitude towards Politics and Intention for Voting in Pakistan" is a huge study embracing more issues. The politics of Pakistan is basically the politics of semantic groups. Pakistan is a multilingual state more than six languages. There are 245 religious parties in Pakistan, as elaborated by the Daily Times research. The use of social media sites in Pakistan peaked to its maximum after announcement of election schedule by the Election Commission of Pakistan in March 22, 2013. Most of the political parties used it for the recent elections in Pakistan to promote their agenda and attract country's 80 million registered electors. This study was aiming to investigate the role of social media and other critical variables in the attitude towards politics and intention for voting.

• International Journal of Computer Science & Network Security
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• 제22권9호
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• pp.358-368
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• 2022

Social media is a window for everyone, individuals, communities, and companies to spread ideas and promote trends and products. With these opportunities, challenges and problems related to security, privacy and rights arose. Also, the data accumulated from social media has become a fertile source for many analytics, inference, and experimentation with new technologies in the field of data science. In this chapter, emphasis will be given to methods of trend analysis, especially ensemble learning methods. Ensemble learning methods embrace the concept of cooperation between different learning methods rather than competition between them. Therefore, in this chapter, we will discuss the most important trends in ensemble learning and their applications in analysing social media data and anticipating the most important future trends.

• International Journal of Computer Science & Network Security
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• 제21권11호
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• pp.1-10
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• 2021

Cyberbullying has become a severe issue and brought a powerful impact on the cyber world. Due to the low cost and fast spreading of news, social media has become a tool that helps spread insult, offensive, and hate messages or opinions in a community. Detecting cyberbullying from social media is an intriguing research topic because it is vital for law enforcement agencies to witness how social media broadcast hate messages. Twitter is one of the famous social media and a platform for users to tell stories, give views, express feelings, and even spread news, whether true or false. Hence, it becomes an excellent resource for sentiment analysis. This paper aims to detect cyberbully threats based on Naïve Bayes, support vector machine (SVM), and k-nearest neighbour (k-NN) classifier model. Sentiment analysis will be applied based on people's opinions on social media and distribute polarity to them as positive, neutral, or negative. The accuracy for each classifier will be evaluated.

• 융합보안논문지
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• 제10권3호
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• pp.1-7
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• 2010

최근 소셜 미디어(Social Media)는 유명 인사들의 사용이 늘어나면서 많은 관심과 함께 사용 인구가 급증 추세로 2009년 말 기준으로 전 세계 소셜 미디어 사이트 방문자수가 7억 7천만 명에 이르고 있다. 그러나 개인 프라이버시 침해, 악성코드 유포수단으로 악용 및 ID 도용 등 사회적인 문제가 나타나고 있다. 이러한 문제를 해결하기 위해 정부는 법 제도를 보완하고 관련 기업은 보안취약점 제거와 함께 불법정보 필터링 기능을 사용자는 개인정보보호 강화를 위한 노력과 관심을 기울여야 한다. 본 논문에서는 건전하고 안전한 소셜 미디어 사용 확산을 위한 보안대책 강구방안에 관해 모색해 보았다.

• International Journal of Computer Science & Network Security
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• 제21권8호
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• pp.360-368
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• 2021

This study aims at knowing both the level of information security awareness in the use of social media among female secondary school students in Makkah Al-Mukarramah, and the procedures that students follow when exposed to hacking or other security problems. The study relied on the descriptive survey approach. The results showed a high percentage of social media use among the study sample, and the most used applications by the students are snapchat and Instagram applications successively. In fact, 48% of the study sample have awareness of information security, the majority of the students memorize the password in the devices, most of them do not change them, and they have knowledge of fake gates and social engineering. However, their knowledge of electronic hacking is weak, and students do not share passwords with anyone at a rate of 67%. At the same time, they do not update passwords. Moreover, most of the procedures followed by students when exposed to theft and hacking is to change the e-mail data and the password, and the results varied apart from that, which reflects the weak awareness of the students and the weakness of procedures related to information security. The study recommends the necessity to raise awareness and education of the importance of information security and safety, especially in light of what the world faces from data electronic attacks and hackings of electronic applications.

• International Journal of Computer Science & Network Security
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• 제22권11호
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• pp.348-356
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• 2022

The main objective of this paper is to probe the extent to which misinformation propagated through the different social media platforms contribute effectively in the process of directing, shaping and reshaping societal awareness of Saudis. In so doing, this paper attempts to delve into the relationship between linguistic misinformation and societal awareness, by exploring the perception of Saudis towards social media news, particularly misinformation and the extent to which this misinformation influences the social attitudes of Saudis in terms of various societal issues. Two main research questions are addressed in this study. First, to what extent does social media misinformation affect Saudis' awareness? Second, what are the linguistic manifestations of misinformation presented in the different social platforms? Two main findings have been recorded in this study: first, misinformation significantly contributes to the societal awareness of Saudis; and, second, however misinformation is linguistically manifested at the different levels of linguistic analysis, it is highly representative at the lexicalization level of language use.

• International Journal of Computer Science & Network Security
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• 제24권8호
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• pp.159-168
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• 2024

Social media sites like as twitter, Facebook and flicker widely used by people, not only as a source of distributing information but also as for communication purpose, with the advancement of technology today. Now a day's one of the most frequently used communication methods are social networks. In various research studies, their use in different fields and the effects of social media on student's behaviors, chat sites and blogs caused by Facebook has been analyzed. In order to obtain the basic data, a general scanning model that is public opinion and views of parents and comments that are openly available across social media sites, used to perceive attitude of graduate students, instead of traditional methods like questionnaires and survey's conduction. A dataset of nearly 20000 reviews of parents was collected from different social media networks about their children's, while in another dataset in which 362 graduate school teachers who observe the students to use social media during classes, labs and in campus during free times, their comments about those students were chosen. As per this study, through different positive and negative factors the detailed analysis has been performed to show effect of social media on student's behavior.

• International Journal of Computer Science & Network Security
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• 제24권7호
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• pp.207-213
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• 2024

This study investigated the perceived usability of the Blackboard learning management system (LMS) amongst students at Umm Al-Qura University. A quantitative approach was employed to explore the potential relationship between Blackboard usability and social media platform usage. Additionally, the study aimed to identify other factors influencing perceived usability. Data were collected through a three-section questionnaire distributed electronically to a sample of students (n=544). The findings, based on System Usability Scale (SUS) scores, revealed that the overall perceived usability of Blackboard resided near the midpoint of the scale, indicating an "acceptable" level. A potential negative correlation emerged between social media usage time and perceived Blackboard usability. Students who reported lower social media usage exhibited higher SUS scores. Training on Blackboard usage demonstrably exerted a positive influence on perceived usability. Gender was not identified as a statistically significant factor. An analysis of student support methods revealed that seeking help from a friend was the most prevalent approach, followed by search engines, university technical support, and social media platforms. The findings suggest that implementing strategies to improve Blackboard usability at Umm Al-Qura University could be achieved through readily accessible training materials and the exploration of alternative support channels.

• International Journal of Computer Science & Network Security
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• 제21권12호
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• pp.131-136
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• 2021

This research aims to analyse the practices adopted by social media users in the Kingdom of Saudi Arabia (KSA), specifically users of Facebook and Snapchat. To collect data from participants, a questionnaire was used, generating 915 responses. The analysis of the data shows a clear preference for Snapchat over Facebook in the KSA, where 89% of the participants have accounts on Snapchat compared to 66% of them with accounts on Facebook. Moreover, the preference for Snapchat over Facebook has been clearly shown in the daily usage of participants, where 83% of those with Snapchat accounts can be described as very active users. They have accessed their Snapchat accounts at least once a day compared to only 15% of Facebook users. Different reasons were provided by the participants explaining the practices they adopted. We believe that such research could help social media applications' designers and policy makers to understand the behaviour of users in the KSA when using social media applications and the rationale behind their behaviour and preferences. This understanding could help improve the performance of current applications and new ones.