Abstract Internet of Things (IoT) has become an important network paradigm and there are
lots of smart devices connected by IoT. IoT systems are producing massive data and thus …

Itemset mining is an important subfield of data mining, which consists of discovering
interesting and useful patterns in transaction databases. The traditional task of frequent …

Event labeling is the process of marking events in unlabeled data. Traditionally, this is done
by involving one or more human experts through an expensive and time-consuming task. In …

Data mining is an interdisciplinary subfield of computer science involving methods at the
intersection of artificial intelligence, machine learning and statistics. One of the data mining …

Closely monitoring service performance and detecting anomalies are critical for Internet-
based services. However, even though dozens of anomaly detectors have been proposed …

Modern IT systems often produce large volumes of event logs, and event pattern discovery is
an important log management task. For this purpose, data mining methods have been …

As more and more Internet-based attacks arise, organizations are responding by deploying
an assortment of security products that generate situational intelligence in the form of logs …

Botnets continue to be a significant problem on the Internet. Accordingly, a great deal of
research has focused on methods for detecting and mitigating the effects of botnets. Two of …

Evaluating anomaly detectors is a crucial task in traffic monitoring made particularly difficult
due to the lack of ground truth. The goal of the present article is to assist researchers in the …

Secure multiparty computation (MPC) allows joint privacy-preserving computations on data
of multiple parties. Although MPC has been studied substantially, building solutions that are …