Survey of Trust Based Communications in Social Networks

Chomphoosang, Pawat; Zhang, Ping; Durresi, Arjan; Barolli, Leonard

doi:10.1109/nbis.2011.111

Cited by 10 publications

(7 citation statements)

References 17 publications

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“…Recently, researchers have investigated various watermarking techniques for use on SNs as well as potential attacks and corresponding solutions [ 25 ]. In [ 26 ], the researchers proposed a dual watermarking scheme for Facebook and Google+ by partially redesigning the SN uploading service, which may not be feasible.…”

Section: Related Workmentioning

confidence: 99%

Are Social Networks Watermarking Us or Are We (Unawarely) Watermarking Ourself?

2022

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In the last decade, Social Networks (SNs) have deeply changed many aspects of society, and one of the most widespread behaviours is the sharing of pictures. However, malicious users often exploit shared pictures to create fake profiles, leading to the growth of cybercrime. Thus, keeping in mind this scenario, authorship attribution and verification through image watermarking techniques are becoming more and more important. In this paper, we firstly investigate how thirteen of the most popular SNs treat uploaded pictures in order to identify a possible implementation of image watermarking techniques by respective SNs. Second, we test the robustness of several image watermarking algorithms on these thirteen SNs. Finally, we verify whether a method based on the Photo-Response Non-Uniformity (PRNU) technique, which is usually used in digital forensic or image forgery detection activities, can be successfully used as a watermarking approach for authorship attribution and verification of pictures on SNs. The proposed method is sufficiently robust, in spite of the fact that pictures are often downgraded during the process of uploading to the SNs. Moreover, in comparison to conventional watermarking methods the proposed method can successfully pass through different SNs, solving related problems such as profile linking and fake profile detection. The results of our analysis on a real dataset of 8400 pictures show that the proposed method is more effective than other watermarking techniques and can help to address serious questions about privacy and security on SNs. Moreover, the proposed method paves the way for the definition of multi-factor online authentication mechanisms based on robust digital features.

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Section: Related Workmentioning

confidence: 99%

Are Social Networks Watermarking Us or Are We (Unawarely) Watermarking Ourself?

2022

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“…Recently, researchers investigated various watermarking techniques to be used in SNs and also the potential attacks and corresponding solutions [27]. In [28], the researchers proposed a dual watermarking scheme for Facebook and Google+ by partially redesigning the SN uploading service which may not be feasible.…”

Section: Image Watermarking In Social Networkmentioning

confidence: 99%

Are Social Networks Watermarking Us or Are We (Unawarely) Watermarking Ourself?

Bertini,

Sharma,

Montesi

2020

Preprint

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In the last decade, Social Networks (SNs) have deeply changed many aspects of society, and one of the most widespread behaviours is the sharing of pictures.However, malicious users often exploit shared pictures to create fake profiles leading to the growth of cybercrime. Thus, keeping in mind this scenario, authorship attribution and verification through image watermarking techniques are becoming more and more important. In this paper, firstly, we investigate how 13 most popular SNs treat the uploaded pictures, in order to identify a possible implementation of image watermarking techniques by respective SNs.Secondly, on these 13 SNs, we test the robustness of several image watermarking algorithms. Finally, we verify whether a method based on the Photo-Response Non-Uniformity (PRNU) technique can be successfully used as a watermarking approach for authorship attribution and verification of pictures on SNs. The proposed method is robust enough in spite of the fact that the pictures get downgraded during the uploading process by SNs. The results of our analysis on a real dataset of 8,400 pictures show that the proposed method is more effective than other watermarking techniques and can help to address serious questions about privacy and security on SNs.

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“…Yan et al [31] completed a far reaching writing audit on trust the executives in IoT with spotlight on subjects like trust assessment, trust system, information observation trust, personality trust and security conservation and so on.…”

Section: Related Workmentioning

confidence: 99%

Mining Social Media Content to Predict Peer Trust Level in Social Networks

Sumithra¹,

Abraham²,

Rajesh³

et al. 2019

IJEAT

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Paper Setup must be in A4 size with Margin: Top 0.7”, Bottom 0.7”, Left 0.65”, 0.65”, Gutter 0”, and Gutter Position Top. Paper must be in two Columns after Authors Name with Width 8.27”, height 11.69” Spacing 0.2”. Whole paper must be with: Font Name Times New Roman, Font Size 10, Line Spacing 1.05 EXCEPT Abstract, Keywords (Index Term), Paper Tile, References, Author Profile (in the last page of the paper, maximum 400 words), All Headings, and Manuscript Details (First Page, Bottom, left side).Paper Title must be in Font Size 24, Bold, with Single Line Spacing. Authors Name must be in Font Size 11, Bold, Before Spacing 0, After Spacing 16, with Single Line Spacing. Please do not write Author e-mail or author address in the place of Authors name. Authors e-mail, and their Address details must be in the Manuscript details. Abstract and Keywords (Index Term) must be in Font Size 9, Bold, Italic with Single Line Spacing. All MAIN HEADING must be in Upper Case, Centre, and Roman Numbering (I, II, III…etc), Before Spacing 12, After Spacing 6, with single line spacing. All Sub Heading must be in Title Case, Left 0.25 cm, Italic, and Alphabet Numbering (A, B, C…etc), Before Spacing 6, After Spacing 4, with Single Line Spacing. Manuscript Details must be in Font Size 8, in the Bottom, First Page, and Left Side with Single Line Spacing. References must be in Font Size 8, Hanging 0.25 with single line spacing. Author Profile must be in Font Size 8, with single line spacing. Fore more details, please download TEMPLATE HELP FILE from the website.

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Survey of Trust Based Communications in Social Networks

Cited by 10 publications

References 17 publications

Are Social Networks Watermarking Us or Are We (Unawarely) Watermarking Ourself?

Are Social Networks Watermarking Us or Are We (Unawarely) Watermarking Ourself?

Are Social Networks Watermarking Us or Are We (Unawarely) Watermarking Ourself?

Mining Social Media Content to Predict Peer Trust Level in Social Networks

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