Attacking DBSCAN for Fun and Profit
نویسندگان
چکیده
Many security applications depend critically on clustering. However, we do not know of any clustering algorithms that were designed with an adversary in mind. An intelligent adversary may be able to use this to her advantage to subvert the security of the application. Already, adversaries use obfuscation and other techniques to alter the *representation* of their inputs in feature space to avoid detection. As one example, spam email often roughly mimics normal email. We have investigated a more nuanced and informed attack, in which an adversary attempts to subvert clustering analysis by feeding in carefully crafted data points.
منابع مشابه
بررسی مشکلات الگوریتم خوشه بندی DBSCAN و مروری بر بهبودهای ارائهشده برای آن
Clustering is an important knowledge discovery technique in the database. Density-based clustering algorithms are one of the main methods for clustering in data mining. These algorithms have some special features including being independent from the shape of the clusters, highly understandable and ease of use. DBSCAN is a base algorithm for density-based clustering algorithms. DBSCAN is able to...
متن کاملImprovement of density-based clustering algorithm using modifying the density definitions and input parameter
Clustering is one of the main tasks in data mining, which means grouping similar samples. In general, there is a wide variety of clustering algorithms. One of these categories is density-based clustering. Various algorithms have been proposed for this method; one of the most widely used algorithms called DBSCAN. DBSCAN can identify clusters of different shapes in the dataset and automatically i...
متن کاملIdentifying Factors Affecting Fun in Workplace with Ethnography Approach
The purpose of this study is to identifying factors affecting Fun in Workplace in Army Physical Training Corps.The study type is developmental and mix method and to extract factors, ethnography methodology that is a qualitative method was used. To extract factors, ethnography methodology was used. Statistical population in this study consists of Army Physical Training Corps. In quantitative sec...
متن کاملUnderstanding the Impact of Human Mobility Patterns on Taxi Drivers' Profitability Using Clustering Techniques: A Case Study in Wuhan, China
Taxi trajectories reflect human mobility over the urban roads’ network. Although taxi drivers cruise the same city streets, there is an observed variation in their daily profit. To reveal the reasons behind this issue, this study introduces a novel approach for investigating and understanding the impact of human mobility patterns (taxi drivers’ behavior) on daily drivers’ profit. Firstly, a K-m...
متن کامل