Security Issues in Online Social Networks

Gao, Hongyu; Hu, Jun; Huang, Tuo; Wang, Jingnan; Chen, Yan

doi:10.1109/mic.2011.50

Cited by 143 publications

(89 citation statements)

References 15 publications

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“…The demotion method may rank identities, relationships, and messages and assigns a score or rank so that users can protect themselves. While the strength and frequency of security measures such as Captchas may help to deal with some of the attacks (Bilge et al, 2009), user awareness is critical for dealing with attacks (Gao et al, 2011) as there is a trade-off employing security measures and user friendliness.…”

Section: Forensics Analysis and Defense Methods For Social Attacksmentioning

confidence: 99%

“…Resource testing analyzes network structure, network bandwidth, computational and storage resources, and the number of IP addresses associated for nodes corresponding to real users. Recurring validation such as Captchas while creating new nodes may minimize the creation of sybil nodes (Gao et al, 2011). SybilGuard (Yu et al, 2006), SybilLimit (Yu et al, 2008), SybilRank (Cao et al, 2012) and SybilDefender (Wei et al, 2012) are some methods to thwart sybil attacks.…”

Section: Defense Methods For De-anonymizationmentioning

confidence: 99%

“…While increasing recognition and reputation through OSNs, it is possible that some sensitive information is also available to attackers. For example, re-identification and de-anonymization attacks are possible for especially identity-theft purposes (Gao et al, 2011). It is important to understand and categorize these attacks, develop defenses and protection methods before undesired outcomes occur, and identify attackers in case of criminal activities.…”

Section: Social Attacks Through Online Social Networkmentioning

confidence: 99%

“…It is also possible to see other ways of categorizing the list of threats or security issues in the literature. Attacks are categorized into privacy breaches, viral marketing, network structural attacks, and malware attacks by Gao et al (2011). Privacy breaches may result from the service provider, other users, or third party applications.…”

Section: Related Work On Categorization Of Attacksmentioning

confidence: 99%

“…In sybil attacks, the attacker may launch accounts (from as small as seven to thousands depending on the purpose) for de-anonymization (information disclosure) or manipulating voting results (opinion/emotion influence) (Gao et al, 2011). Z.…”

Section: De-anonymization Using Network Structure and Similaritymentioning

confidence: 99%

See 4 more Smart Citations

A Survey of Social Network Forensics

Karabiyik¹,

Canbaz²,

Aksoy³

et al. 2016

JDFSL

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Social networks in any form, specifically online social networks (OSNs), are becoming a part of our everyday life in this new millennium especially with the advanced and simple communication technologies through easily accessible devices such as smartphones and tablets. The data generated through the use of these technologies need to be analyzed for forensic purposes when criminal and terrorist activities are involved. In order to deal with the forensic implications of social networks, current research on both digital forensics and social networks need to be incorporated and understood. This will help digital forensics investigators to predict, detect and even prevent any criminal activities in different forms. It will also help researchers to develop new models/techniques in the future. This paper provides literature review of the social network forensics methods, models, and techniques in order to provide an overview to the researchers for their future works as well as the law enforcement investigators for their investigations when crimes are committed in the cyber space. It also provides awareness and defense methods for OSN users in order to protect them against to social attacks.

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Section: Forensics Analysis and Defense Methods For Social Attacksmentioning

confidence: 99%

Section: Defense Methods For De-anonymizationmentioning

confidence: 99%

Section: Social Attacks Through Online Social Networkmentioning

confidence: 99%

Section: Related Work On Categorization Of Attacksmentioning

confidence: 99%

Section: De-anonymization Using Network Structure and Similaritymentioning

confidence: 99%

See 3 more Smart Citations

A Survey of Social Network Forensics

Karabiyik¹,

Canbaz²,

Aksoy³

et al. 2016

JDFSL

View full text Add to dashboard Cite

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An efficient approach of improving privacy and security in online social networks

Almasoud

Almogren

Hassan

et al. 2017

Concurrency and Computation

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Online social networks (OSNs) have become popular and widely used by many people nowadays.As those OSNs increase, the virtual social interactions have resulted in increasing privacy and security concern. Many approaches have been proposed in order to provide users with "better" privacy protection, but none of those approaches have "fully succeeded," due to their conflict with service providers 0 economic benefits or due to the suggestion of changing the OSNs architecture. In this paper, we propose a new model that would improve privacy and security in OSNs by preventing users from revealing private and or confidential information online as possible. We endeavor to create a balance between privacy and security improvement versus the service provider business model.

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Predicting the availability of users' devices in decentralized online social networks

Salve

Guidi

Mori

2017

Concurrency and Computation

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The understanding of the user temporal behavior is a crucial aspect for all those systems that rely on user resources for daily operations, such as decentralized online social networks (DOSNs).Indeed, DOSNs exploit the devices of their users to take on and share the tasks needed to provide services such as storing the published data. In the last years, the increasing popularity of DOSN services has changed the way of how people interact with each other by enabling users to connect to these services at any time by using their personal devices (such as notebooks or smartphones).As a result, the availability of data in these systems is strongly affected (or reflected) by the temporal behavior of their users in terms of connections to DOSNs. In this paper, we propose the use of linear predictors to address the problem of the availability of user devices and, hence, data in DOSNs. To validate the proposed approaches, we evaluated their performance conducting a set of simulations exploiting a dataset of temporal information concerning the connections to Facebook collected from a set of users. KEYWORDSavailability prediction, decentralized online social networks, user behavior INTRODUCTIONIn the last years, online social networks (OSNs) have proliferated by attracting millions of users that share a large number of contents with each other. According to the International Telecommunication Union (ITU)*, OSNs have reached a global penetration rate of 31%. The evolution of mobile technology (such as smartphones and tablets) is the major driver that makes social networking the most popular online activity, which captures 30% of the time spent by users each day on the Internet † , i.e., about 1 hour and 50 minutes. The most popular OSNs are based on a centralized architecture where the service provider takes control over users' information. However, the centralized structure has several relevant drawbacks. For instance, during the last years, users' privacy in OSNs becomes an ever-increasing concern because private information of the users is exploited by the centralized OSN providers for several purposes. 1,2 Privacy and system scalability are two of the main issues that have led to the decentralization of the social networks.A decentralized online social network (DOSN) 3 is an OSN implemented in a decentralized way (such as peer-to-peer architecture). For instance, Diaspora ‡ and Friendica § are two of the currently available DOSNs that attract more than 669 000 users, and they are based on a network of independent, federated servers that are managed by the users. RetroShare ¶ is another available DOSN that allows users to create friend-to-friend connection for sharing data. In DOSNs, there is no centralized authority since users' devices are exploited to store and manage users' data. For this reason, the decentralization of OSNs requires efficient solutions for dealing with data availability arising when users' devices disconnect from the system. Indeed, the problem of data availability occurs because data of a user should...

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Security Issues in Online Social Networks

Cited by 143 publications

References 15 publications

A Survey of Social Network Forensics

A Survey of Social Network Forensics

An efficient approach of improving privacy and security in online social networks

Predicting the availability of users' devices in decentralized online social networks

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