AI-based detection of DNS misuse for network security

Threat hunting and malware prediction are critical activities to ensure network and system security. These tasks are difficult due to increasing numbers of sophisticated malware families. Automatically detecting anomalous Domain Name System (DNS) queries in operational traffic facilitates the detection of new malware infections, significantly...

Fair automated assessment of noncompliance in cargo ship networks

Robustness Verification for Classifier Ensembles

We give a formal verification procedure that decides whether a classifier ensemble is robust against arbitrary randomized attacks. Such attacks consist of a set of deterministic attacks and a distribution over this set. The robustness-checking problem consists of assessing, given a set of classifiers and a labelled data set, whether there exists...

Near Real-Time Detection of Misinformation on Online Social Networks ; scriptie RUG

Radar classifier for small manned air targets

The ALFA project aims at timely detection, tracking, classification, and intent assessment of LSS targets. The system relies on a heterogeneous sensor suite, including radar. The objective of the radar component is sector surveillance including target classification. Since the revisit time needs to be short, classification must be done with very...

Imputation methods outperform missing-indicator for data missing completely at random

On the importance of visual explanation and segmentation for SAR ATR using deep learning

Detecting Work Stress in Offices by Combining Unobtrusive Sensors

Employees often report the experience of stress at work. In the SWELL project we investigate how new context aware pervasive systems can support knowledge workers to diminish stress. The focus of this paper is on developing automatic classifiers to infer working conditions and stress related mental states from a multimodal set of sensor data ...

Framework of synchromodal transportation problems

Problem statements and solution methods in mathematical synchromodal transportation problems depend greatly on a set of model choices for which no rule of thumb exists. In this paper, a framework is introduced with which the model choices in synchromodal transportation problems can be classified, based on literature. This framework should help...

Integrated Optimization of Long-Range Underwater Signal Detection, Feature Extraction, and Classification for Nuclear Treaty Monitoring

We designed and jointly optimized an integrated signal processing chain for detection and classification of long-range passive-acoustic underwater signals recorded by the global geophysical monitoring network of the Comprehensive Nuclear-Test-Ban Treaty Organization. Starting at the level of raw waveform data, a processing chain of signal...

Knowledge based query expansion in complex multimedia event detection

A common approach in content based video information retrieval is to perform automatic shot annotation with semantic labels using pre-trained classifiers. The visual vocabulary of state-of-the-art automatic annotation systems is limited to a few thousand concepts, which creates a semantic gap between the semantic labels and the natural language...

Classification of small UAVs and birds by micro-Doppler signatures

The popularity of small unmanned aerial vehicles (UAVs) is increasing. Therefore, the importance of security systems able to detect and classify them is increasing as well. In this paper, we propose a new approach for UAVs classification using continuous wave radar or high pulse repetition frequency (PRF) pulse radars. We consider all steps of...

Test-retest reliability and concurrent validity of a web-based questionnaire measuring workstation and individual correlates of work postures during computer work

Introduction: "Ergonomic" questionnaires are widely used in epidemiological field studies to study the association between workstation characteristics, work posture and musculoskeletal disorders among office workers. Findings have been inconsistent regarding the putative adverse effect of work postures. Underestimation of the true association...

Novel system for classifying chromatographic applications, exemplified by comprehensive two-dimensional gas chromatography and multivariate analysis

For practical chromatographers it is extremely difficult to judge the merits and limitations of new technological developments. On the other hand, it is nearly impossible for those at the forefront of technology to judge the implications of their efforts for all specific applications of chromatography. Both chromatographers and researchers can...

Automatic detection of frequent pronunciation errors made by L2-learners

In this paper, we present an acoustic-phonetic approach to automatic pronunciation error detection. Classifiers using techniques such as Linear Discriminant Analysis and Decision Trees were developed for three sounds that are frequently pronounced incorrectly by L2-learners of Dutch: /a/, /y/ and /x/. This paper will focus mainly on the problems...

Monitoring the urbanisation of Dar es Salaam using ERS SAR data

Laser safety: Classification is of limited use

Classification schemes to identify laser hazards may give a quick insight into the hazards of radiation. However the most serious accidents involve exposure to high voltages. Besides toxic chemicals may present hazards in laser work stations. In this paper an overview will be given of hazards associated with working with lasers. Special...