DPIF: A Framework for Distinguishing Unintentional Quality Problems From Potential Shilling Attacks

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Shilling Attacks against Privacy-Preserving Collaborative Filtering

Although collaborative filtering with privacy schemes protect individual user privacy while still providing accurate recommendations, they might be subject to shilling attacks like traditional schemes without privacy. There are various studies focusing on either proposing privacypreserving collaborative filtering schemes or developing robust recommendation algorithms against shilling attacks. H...

متن کامل

Distinguishing attacks on ISAAC

This paper presents two strong distinguishers for the deterministic random bit generator ISAAC, requiring 2 and 2 samples of respectively 64 and 32 bits, based on the observation that more than 2 167 initial states among the 2 192 ones induce a strongly non-uniform distribution of the bits produced at the first round of the algorithm. A previous attack on ISAAC presented at Asiacrypt’06 by Paul...

متن کامل

Framework for Prioritizing Solutions in Overcoming Data Quality Problems Using Analytic Hierarchy Process (AHP)

The Central Statistics Agency (BPS) is a government institution that has the authority to carry out statistical activities in the form of censuses and surveys, to produce statistical data needed by the government, the private sector and the general public, as a reference in planning, monitoring, and evaluation of development results. Therefore, providing quality statistical data is very decisiv...

متن کامل

Limited Knowledge Shilling Attacks in Collaborative Filtering Systems

Recent research in recommender systems has shown that collaborative filtering algorithms are highly susceptible to attacks that insert biased profile data. Theoretical analyses and empirical experiments have shown that certain attacks can have a significant impact on the recommendations a system provides. These analyses have generally not taken into account the cost of mounting an attack or the...

متن کامل

Robust Analysis of Network based Recommendation Algorithms against Shilling Attacks

Despite their great adoption in e-commerce sites, recommender systems are still vulnerable to unscrupulous producers who try to promote their products by shilling the systems. In the past decade, network based recommendation approaches have been demonstrated to be both more efficient and of lower computational complexity than collaborative filtering methods, however as far as we know, there is ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Computers, Materials & Continua

سال: 2019

ISSN: 1546-2226

DOI: 10.32604/cmc.2019.05379