583 research outputs found
Practical pay TV schemes
No full textWe propose an efficient and robust Pay TV scheme for the case when there are a number of streams, as opposed to just one. In our model, the broadcast is divided into billing periods; during each billing period the entitlement of the users does not change. We achieve full flexibility with only a constant factor data redundancy. Our scheme has very little secure memory requirements and does not require the users’ secure keys to be changed once they have been written into the secure memory. There is also no upper limit on the number of subscribers. We extend this scheme to have the cracker identification property: If a collusion of less than t users crack their set-top terminals and produce a new decryption key, the exact set of crackers can be efficiently identified with high probability. This property is similar to but different from the traitor tracing schemes of Chor et al
sj-pdf-1-bds-10.1177_20539517221145371 - Supplemental material for Manipulative tactics are the norm in political emails: Evidence from 300K emails from the 2020 US election cycle
No full textSupplemental material, sj-pdf-1-bds-10.1177_20539517221145371 for Manipulative tactics are the norm in political emails: Evidence from 300K emails from the 2020 US election cycle by Arunesh Mathur, Angelina Wang, Carsten Schwemmer, Maia Hamin, Brandon M Stewart and Arvind Narayanan in Big Data & Society</p
Online Privacy and Web Transparency (Dagstuhl Seminar 17162)
No full textThis report documents the program and the outcomes of Dagstuhl Seminar 17162 "Online Privacy and Web Transparency". The seminar brought 29 participants in computer science, law and policy together, coming from companies and research institutions across Europe and the US.
The 2.5-days seminar had a well-filled program, with 25 research talks, followed by 7 short panel discussions, and 6 5-minute talks. Online privacy and Web transparency is a broad research field, that includes detection of privacy leaks on the Web and mobiles, measurement of tracking technologies on the Web, transparency tools to detect bias and discrimination, as well as how laws and regulations address these problems from a law research perspective, and how technical solutions can influence standards and laws
Sztuczna inteligencja jako olej z węża, prognozowanie przeszłości albo o tym, że rower to nie prom kosmiczny: Arvind Narayanan i Sayash Kapoor (2024), AI Snake Oil: What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference, Princeton University Press: Princeton, ss. 348
No full textWith close reference to Arvind Narayanan and Sayash Kapoor’s book AI Snake Oil: What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference (2024), the author of this essay examines how artificial intelligence functions today and how it is perceived, often with a considerable dose of techno-enthusiasm. He distinguishes between predictive and generative AI, and presents hypotheses on how AI may operate in future societies.W ścisłym nawiązaniu do książki Arvinda Narayanana i Sayasha Kapoora AI Snake Oil: What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference (2024) autor eseju rozpatruje, jak dziś funkcjonuje i jak – z dużą dozą technoentuzjazmu – jest postrzegana sztuczna inteligencja. Pokazuje, czym różni się predyktywna AI od generatywnej AI. Przedstawia hipotezy dotyczące funkcjonowania AI w społeczeństwach przyszłości
Emerging market chrises : an asset markets perspective
No full textAdditional author listed in caption title on p. 1: Arvind KrishnamurthyOctober, 1998--t.p. -- This draft: Novebmer 5, 1998--P.
Leaky Forms: A Study of Email and Password Exfiltration Before Form Submission
No full textWe thank Alexei Miagkov, Arvind Narayanan, Bart Jacobs, Claudia Diaz, David Roefs, Dorine Gebbink, Galina Bulbul, Gwendal Le Grand, Konrad Dzwinel, Pete Snyder, Sergey Galich, Steve Englehardt, Vincent Toubiana, our shepherd Alexandros Kapravelos, SecWeb and USENIX Security reviewers for their valuable comments and contributions. The idea for measuring email exfiltration before form submission is initially developed with Steve Englehardt and Arvind Narayanan during an earlier study [41]. Asuman Senol was funded by the Cyber-Defence (CYD) Campus of armasuisse Science and Technology. Gunes Acar was initially supported by a postdoctoral fellowship from the Research Foundation Flanders (FWO). The study was supported by CyberSecurity Research Flanders with reference number VR20192203
BEHAVIORAL SHOPPING: ANALYSIS OF CONSUMER BEHAVIOR THROUGH AMAZON PRODUCT LISTINGS
No full textData collected from Amazon.com, reviews and product details, is used to explore various questions. Does a higher list price increase sales for a product? Do better reviews directly increase sales? Are reviewers influenced by other reviews? These subjects have been studied extensively, primarily through controlled experiments. For example, experiments have aimed to reveal higher advertised reference prices affect a consumer¿s purchase decisions. We aim to create a framework and dataset that can be used to investigate correlations between various product properties and outcomes. Amazon.com was chosen because of the wealth of reviews, with review author tags, and also product metadata such as sales ranking. This data was collected for the present as well as several points in the past and was analyzed for patterns pertaining to the questions at han
Cultural Spectrum in Arvind Adiga’s Selection Days
No full textCultural Studies have played a pivotal role in understanding and evaluating the power dynamics of the social, political, economic and ethical world order by empirically engaging and focusing on the present-day culture, tracing its historical roots and explicating its attributes with reference to a particular literary text and its reception in a society. Arvind Adiga, the Man-Booker Prize winning Indo-Australian author, in Selection Day, has adroitly detailed how cricket as an individual entity impacts the cultural phenomena of a society by confronting its inherent myriad issues. The narrative delves deep into the lives of two siblings - Radha and Manju, witnesses the dramatic turnaround of events and tries to capture the themes of unfulfilled desires and preordained destinies. The novel also explores how the sport holds different meanings and significance for different characters, each of whom view the game in the light of their own ideology. The author foresees and sensitizes the theme of homosexuality, which is still a taboo and been unheard of, within the sports fraternity. Adiga’s critique of the parental felony, embodied in Mohan Kumar, and its repercussions is the most compelling theme at the heart of this work of fiction. Selection Day powerfully binds together the societal phenomena of class construction, unquenchable thirst for money, sexual orientations and ideologies with a single thread and studies how culture, in itself, is an ever-evolving phenomenon
Antecedents and Enablers of Green Supply Chain Practices
No full textThe thesis titled antecedents and enablers of green supply chain practices focuses on one of the most contemporary issues in supply chain management. The literature review explores the existing literature and research work on green supply chain practices and develops a framework for the research. The research is qualitative in nature and data was collected from the three automobile component-manufacturing companies in India. Semi structured interviews were conducted over a period of 18 months.
There were three objectives for this thesis:
1. Describing the current state of green supply chain practices?
2. What are the antecedents and enablers for green supply chain practices?
3. What are the underlying mechanisms, if any?
The research work concludes by answering all the above three questions and also gives the future direction for research. The research work started by finding a gap for the empirical research in the context of green supply chain practices. The objective of the research was to focus on antecedents and enablers of green supply chain practices. Some contextual factors, inhibitors and consequences are also emerged during the pilot case study.
The research work is rigor and to ensure the rigor of the research design, five-stage process was used to structure the methodology. As a final check author assessed his research against the four basic tests commonly used in empirical research; construct validity, internal validity, external validity and reliability. The research study has contributed both to the development and testing of theory relating to the antecedents and enablers of green supply chain practices. The review of literature provided a synthesis of the underpinning bodies of literature that has not previously been conducted in this way. This resulted in the identification of ten core green supply chain practices for the development of antecedents and enablers that created the foundation for author’s empirical investigation. It was found that previous studies have been largely theoretical. The empirical studies that do exist have focused on one particular dyadic relationship with in green supply chain practices.
A double contribution has been made to testing the theory of green supply chain practices from a process and output perspective. As process perspective, a contribution has been made to methodology by developing a robust approach for conducting supply chain research beyond the dyad. From output perspective, the author has the empirical results from the three individual case studies and their cross-case comparison for dissemination to an academic audience.
Specific contribution of this research to theory development include:
1. Development of macro model of green supply chain practices with the inputs from literature.
2. The synthesis of ten core green supply chain practices with antecedents and enablers from existing body of literature enriched through empirical testing
3. Empirical derivation of three contextual factors.
Although the research work is new and contribute to the theory and practices, there are still some limitations of this research. Two minor limitations have been identified:
1. Generalizability of result to practice to practice: Due to the limited size of the case study approach, the results can only be generalized to theory and not to practice.
2. Variation in quality of information: The scope of data collection for all three case studies was same still the quality of information gathered was different. As good quality cross-case analysis was still possible but the relative strengths of the three cases varied.
Overall the research work is original, rigor, and contributes to the existing theory and also paves the path for future research work in the area of green supply chain practices
MEASURING WEBSITE PERSONALIZATION AFTER FACEBOOK DELEGATED LOGIN
No full textGiven the amount of information on the Internet and the competition between sites over users¿
attention and dollars, many websites today are personalizing their content, in order to provide users
with a more tailored experience. While in many cases, content personalization is highly beneficial
to the user, personalization can also indicate a compromise in user privacy, stemming from the use
of information the user did not explicitly provide and, in some cases, can involve the manipulation
of content to the user¿s disadvantage, as occurs in cases of price discrimination. While before, users
only had to be concerned about information being used about their computers and their browsing
and search histories, in recent years, a new source of detailed user information has emerged, social
media. The social media site, Facebook, provides the opportunity for users to connect their social
identities to many websites using Facebook¿s social login button. When users connect to sites
through the social login button, information from their profiles is shared with the websites. Given
our knowledge of how sites use other user information for personalization, we must be similarly
concerned with understanding how information coming from social media sites can be used by
third-party sites for personalization.
Unfortunately, the tools and techniques for detecting this type of personalization are underdeveloped,
and no studies of social information based personalization have been conducted. In this
paper, I make four contributions towards addressing this area of research. First, I develop a process
to collect the page source data from websites, that is necessary for detecting personalization, and
develop a large corpus of such data for 235 websites that allow Facebook social login. My second
contribution is an algorithm for identifying content changes on websites that result from a user
being logged in through Facebook. Third, I develop a taxonomy of social information based personalization,
and identify four types of personalization that can occur as a result of using Facebook
social login. I create dummy accounts that simulate user features on Facebook, and find evidence
of Facebook-based personalization on numerous sites. Given the existence of personalization, the
final contribution of this paper is a theoretical examination of techniques for reverse engineering
Facebook-based personalization on websites
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