Online Social Networks: Privacy Threats and Defenses

Mahmood, Shah

doi:10.1007/978-3-7091-0894-9_2

Cited by 11 publications

(4 citation statements)

References 19 publications

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“…Scentralizowana architektura mediów społecznościowych zdaje się jednak nie zapewniać im należytej ochrony. System weryfikacji użytkownika nie eliminuje tworzenia fałszywych kont mających na celu atak na innych userów 50 . Co prawda użytkownicy OSN mogą decydować o stopniu widoczności niektórych informacji i postów znajdujących się wewnątrz ich osobistego profilu, ale w pełni publiczny charakter podejmowanych aktywności w witrynie sprawia, że osoba postronna może z łatwością "zrekonstruować siatkę znajomych danego użytkownika" 51 .…”

Section: Dyskusja: Architektura Osn a Dosn Różnice W Mechanizmach Prywatności I Bezpieczeństwa Użytkownikówunclassified

Internetowe sieci społeczne oparte na zdecentralizowanej architekturze (DOSN) a poprawa bezpieczeństwa i prywatności użytkowników social mediów

Hendzel¹

2018

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ONLINE SOCIAL NETWORKS BASED ON DECENTRALIZED ARCHITECTURE (DOSN) AND IMPROVEMENT OF THE SECURITY AND PRIVACY OF SOCIAL MEDIA USERSOSN (Online Social Networks), and thus "traditional" social media, are characterized by a centralized architecture. Therefore, all user data is stored logically in the servers of the service provider. This leads to many cases of abuse, such as monetization of users' data, violations of the security and privacy of individuals. The search for alternative solutions combined with the development of information technology has led to the creation of a new type of social media that distinguishes the decentralized structure. DOSN (Decentralized Online Social Networks) are created using P2P technology, a Web-based network or with a Blockchain protocol. Decentralized portals use additional encryption tools and cryptography, so they can ensure better control of users' privacy and increase their autonomy. The aim of this article is to present DOSN as sites providing better mechanisms to protect the privacy and security of users than social media with centralized architecture.

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Section: Dyskusja: Architektura Osn a Dosn Różnice W Mechanizmach Prywatności I Bezpieczeństwa Użytkownikówunclassified

Internetowe sieci społeczne oparte na zdecentralizowanej architekturze (DOSN) a poprawa bezpieczeństwa i prywatności użytkowników social mediów

Hendzel¹

2018

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“…The researchers in [5] explain the four causes that may lead to privacy leaks in OSNs. These causes are design or limitation flaws, clash of interest, implicit flow of information, and user limitations.…”

Section: Online Social Network: Privacy Threats and Defensesmentioning

confidence: 99%

User Trust on Online Social Network on the basis of Security and privacy

Suleman¹

2017

IJECI

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Online social networks have become a popular medium of sharing information and also major source for connecting the people on a network. As we know that the threats related to online social network is affecting people to great extent, and is resulting in loss of trust among the people. The trust is basically the measure of confidence that an entity and entities will show in different manners, and privacy is basically a set of actions for controlling personal information. Our basic purpose is to improve user privacy and to build user trust on online social networks. For this purpose, we have conducted survey of users especially teenagers and have taken their views about their knowledge of maintaining privacy on social networks, whether they review privacy settings or leave it as it is, without knowing the importance of privacy. After getting survey result we concluded that most of teenagers are unaware of maintaining privacy so they did not review their privacy settings, resultantly they became a victim of different threats related to online social networks. For this purpose, the tool is designed for reviewing or checking the user’s privacy settings and generating different alerts for achieving desired privacy level.

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“…Overall, S F 3 gained 129 random users and achieved an acceptance rate of 56.9% (see Table 4). 12 Due to a failure of stored information we could not build similar graphs for SF 1 and SF 2 In the infiltration process S F 3 sent 219 friend requests to 219 users in the O F 3 organization (including the ten targeted users). Among them, 88 users accepted, and 131 users rejected S F 3 's requests (see Table 2, and Figure 3).…”

Section: S F 3 Socialbotmentioning

confidence: 99%

“…Today, many OSN users are unaware of the serious privacy issues that accompany the use of OSNs (10). Users often share personal data on OSNs without realizing the short-term or long-term consequences of such information flow (11), (12). Gathered data that disclose personal and sensitive information about users may cause security risks including identity theft (13); inference attacks (14); spreading spam (10), (15); privacy threats (16), (17); malware (18); fake profiles or sybils (19), (20); socialbots (16), (21), (22), (23); and sexual harassment (24), (25).…”

Section: Introductionmentioning

confidence: 99%

Guided socialbots: Infiltrating the social networks of specific organizations’ employees

Elyashar

Fire

Kagan

et al. 2014

AIC

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A dimension of the Internet that has gained great popularity in recent years is the platform of online social networks (OSNs). Users all over the world write, share, and publish personal information about themselves, their friends, and their workplaces within this platform of communication. In this study we demonstrate the relative ease of creating malicious socialbots that act as social network "friends," resulting in OSN users unknowingly exposing potentially harmful information about themselves and their places of employment. We present an algorithm for infiltrating specific OSN users who are employees of targeted organizations, using the topologies of organizational social networks and utilizing socialbots to gain access to these networks. We focus on two wellknown OSNs-Facebook and Xing-to evaluate our suggested method for infiltrating key-role employees in targeted organizations. The results obtained demonstrate how adversaries can infiltrate social networks to gain access to valuable, private information regarding employees and their organizations.

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Online Social Networks: Privacy Threats and Defenses

Cited by 11 publications

References 19 publications

Internetowe sieci społeczne oparte na zdecentralizowanej architekturze (DOSN) a poprawa bezpieczeństwa i prywatności użytkowników social mediów

Internetowe sieci społeczne oparte na zdecentralizowanej architekturze (DOSN) a poprawa bezpieczeństwa i prywatności użytkowników social mediów

User Trust on Online Social Network on the basis of Security and privacy

Guided socialbots: Infiltrating the social networks of specific organizations’ employees

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