A privacy-aware framework for targeted advertising

Wang, Wei; Liu, Yang; Chen, Yanjiao; Zhang, Qian

doi:10.1016/j.comnet.2014.12.017

Cited by 18 publications

(20 citation statements)

References 22 publications

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“…User profile based Targeted Advertising is effective and beneficial to the advertiser since it can increase revenue up to 2.68 times and it benefits the visitor with personalised adverts while enabling a high amount of free content all over the internet, but it can also pose a significant privacy and security risk to end-users [2], [3], [5], [6], [7], [8], [9]. Some of the main concerns over advertisement tracking is privacy disclosure during retargeting and data merging of third-party tracked data from various sites and sources (including ISPs) which can be used to build personally intrusive profiles of individuals [2], [3], [4], [5], [8], [10]. Increasingly IP addresses, browsers, e-mails and mobile devices contain or identify user location information (sometimes with GPS accuracy) which is collected by APs to amend and improve advert relevancy even though end-users are not explicitly aware of this [2], [3], [6], [8].…”

Section: Fig 1 Main Online Advertising Environment Entitiesmentioning

confidence: 99%

“…The Advertising Platform (AP) connects publishers with advertisers (e.g. Google and AppNexus) and Estrada-Jiménez et al (suggests that APs represent the heart of online advertising through merging user interests with the relevant advertisers [2], [3]. It is important to note that one publisher can have multiple APs tracking their site at the same time (e.g.…”

Section: Introductionmentioning

confidence: 99%

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AdPExT: Designing a Tool to Assess Information Gleaned from Browsers by Online Advertising Platforms

Woensdregt¹,

Al-Khateeb

Epiphaniou

et al. 2019

2019 IEEE 12th International Conference on Global Security, Safety and Sustainability (ICGS3)

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The world of online advertising is directly dependent on data collection of the online browsing habits of individuals to enable effective advertisement targeting and retargeting. However, these data collection practices can cause leakage of private data belonging to website visitors (endusers) without their knowledge. The growing privacy concern of end-users is amplified by a lack of trust and understanding of what and how advertisement trackers are collecting and using their data. This paper presents an investigation to restore the trust or validate the concerns. We aim to facilitate the assessment of the actual end-user related data being collected by advertising platforms (APs) by means of a critical discussion but also the development of a new tool, AdPExT (Advertising Parameter Extraction Tool), which can be used to extract third-party parameter key-value pairs at an individual key-value level. Furthermore, we conduct a survey covering mostly United Kingdom-based frequent internet users to gather the perceived sensitivity sentiment for various representative tracking parameters. End-users have a definite concern with regards to advertisement tracking of sensitive data by global dominating platforms such as Facebook and Google.

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Section: Fig 1 Main Online Advertising Environment Entitiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

AdPExT: Designing a Tool to Assess Information Gleaned from Browsers by Online Advertising Platforms

Woensdregt¹,

Al-Khateeb

Epiphaniou

et al. 2019

2019 IEEE 12th International Conference on Global Security, Safety and Sustainability (ICGS3)

View full text Add to dashboard Cite

show abstract

“…In this section, we present an online decision algorithm, allowing to make the same type of decisions as the optimization formulation introduced above, but (i) in a much more efficient way and (ii) without requiring any information on the future trajectories of vehicles. Clearly, while maximizing the objective in (8), subject to constraints (3)- (7) and given knowledge about all time steps in T , ensures an optimal ad selection, our online decision algorithm may provide a suboptimal solution. We will show however that the online solution we obtain is optimal in some particular cases and closely matches the optimum under general conditions.…”

Section: On-line Decision Makingmentioning

confidence: 99%

“…In our work, we consider a vehicular advertisement scenario. Similar to Internet advertising systems [7], [8], advertisers sign an • All authors are with the Department of Electronics and Telecommunications at Politecnico di Torino, Torino, Italy. C. F. Chiasserini is also a Research Associate at IEIIT-CNR, Italy.…”

Section: Introductionmentioning

confidence: 99%

Scheduling Advertisement Delivery in Vehicular Networks

Einziger

Chiasserini

Malandrino

2018

IEEE Trans. on Mobile Comput.

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Vehicular users are emerging as a prime market for targeted advertisement, where advertisements (ads) are sent from network points of access to vehicles, and displayed to passengers only if they are relevant to them. In this study, we take the viewpoint of a broker managing the advertisement system, and getting paid every time a relevant ad is displayed to an interested user. The broker selects the ads to broadcast at each point of access so as to maximize its revenue. In this context, we observe that choosing the ads that best fit the users' interest could actually hurt the broker's revenue. In light of this conflict, we present Volfied, an algorithm allowing for conflict-free, near-optimal ad selection with very low computational complexity. Our performance evaluation, carried out through real-world vehicular traces, shows that Volfied increases the broker revenue by up to 70% with provably low computational complexity, compared to state-of-the-art alternatives.

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“…Demək olar ki, böyük firmalar bütün dünyanı əhatə etməyə can atır [4]. Reklam fəaliyyəti də qlobal ölçüdə biznesin idarə edilməsinə, bütün dünyada multikultural korporativ mədəniyyətin, etik strukturların və sistemlərin yaranmasına yardımçı olur [5,6].…”

Section: Reklam Kompanġyalarinin Effektġv Qġymətləndġrġlməsġunclassified

İnternet reklam-marketinq məlumatlarının analizi üçün proqram təminatı

Haşımova¹

2017

Proqram Mühəndisliyinin Aktual Elmi-Praktiki Problemləri I Respublika Konfransının Materialları

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İnternet-reklam digər reklam vasitələrindən fərqli olaraq daha çox imkanlara malikdir. Müasir dövrün tələbinə uyğun olaraq biznesin maksimal effektivliyi, reklam bazarında uğurları marketinq sistemindən asılıdır. Məqalədə İnternetreklam sahəsində mövcud vəziyyət araşdırılır, bu sahədə istifadəçi sorğularının analizi üçün bəzi parametrlər təhlil olunur, onların xüsusiyyətləri və mahiyyəti göstərilir.

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A privacy-aware framework for targeted advertising

Cited by 18 publications

References 22 publications

AdPExT: Designing a Tool to Assess Information Gleaned from Browsers by Online Advertising Platforms

AdPExT: Designing a Tool to Assess Information Gleaned from Browsers by Online Advertising Platforms

Scheduling Advertisement Delivery in Vehicular Networks

İnternet reklam-marketinq məlumatlarının analizi üçün proqram təminatı

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