Abstract
The security standard ISO/IEC 27001 provides orientations to support organizations to set adequate best practices in information security management, specifying requirements that enable the appropriate selection and implementation of security controls. This standard assists organizations to protect their information assets, achieve their adequate levels of security and thus help them to succeed their business goals. Currently, an increasing number of Portuguese organizations seek to comply ISO/IEC 27001:2013 standard and obtain the respective certification. This paper presents the result of a research conducted in order to detail the main difficulties and limitations evidenced by Portuguese organizations while meeting the ISO/IEC 27001:2013 standard. Moreover, this paper provides discussion on the results obtained, to better understand the progress and status quo of this standard implementation. From the research conducted it can be seen that organizations are becoming heavily concerned with information security issues, mainly due it to the recent cybersecurity incidents occurred. Additionally, certification is recognized as an important instrument to give confidence and demonstrate to all organizational' customers, suppliers and stakeholders that information security components are verified and organized within the organization.

Abstract
This work presents the 2nd Cross-Spectrum Iris/Periocular Recognition Competition (Cross-Eyed2017). The main goal of the competition is to promote and evaluate advances in cross-spectrum iris and periocular recognition. This second edition registered an increase in the participation numbers ranging from academia to industry: five teams submitted twelve methods for the periocular task and five for the iris task. The benchmark dataset is an enlarged version of the dual-spectrum database containing both iris and periocular images synchronously captured from a distance and within a realistic indoor environment. The evaluation was performed on an undisclosed test-set. Methodology, tested algorithms, and obtained results are reported in this paper identifying the remaining challenges in path forward.

Abstract
The spread of biometric applications in mobile devices handled by untrained users opened the door to sources of noise in mobile iris recognition such as larger extent of rotation in the capture and more off-angle imagery not found so extensively in more constrained acquisition settings. As a result of the limitations of the methods in handling such large degrees of freedom there is often an increase in segmentation errors. In this work, a new near-infrared iris dataset captured with a mobile device is evaluated to analyse, in particular, the rotation observed in images and its impact on segmentation and biometric recognition accuracy. For this study a (manually annotated) ground truth segmentation was used which will be published in tandem with the paper. Similarly to most research challenges in biometrics and computer vision in general, deep learning techniques are proving to outperform classical methods in segmentation methods. The utilization of parameterized CNN-based iris segmentations in biometric recognition is a new but promising field. The results presented show how this CNN-based approach outperformed the segmentation traditional methods with respect to overall recognition accuracy for the dataset under investigation.

Abstract
This work presents a novel multimodal database comprising 3D face, 2D face, thermal face, visible iris, finger and hand veins, voice and anthropometrics. This dataset will constitute a valuable resource to the field with its number and variety of biometric traits. Acquired in the context of the EU PROTECT project, the dataset allows several combinations of biometric traits and envisages applications such as border control. Based upon the results of the unimodal data, a fusion scheme was applied to ascertain the recognition potential of combining these biometric traits in a multimodal approach. Due to the variability on the discriminative power of the traits, a leave the n-best out fusion technique was applied to obtain different recognition results. © 2018 Gesellschaft fuer Informatik.

Abstract
The orofacial complex is the primarily link between the instrument and the instrumentalist when performing the musician's embouchure. The contact point is established between the saxophonist lower lip, the upper maxillary dentition and the mouthpiece. The functional demands of the saxophone player and consequent application of forces with an excessive pressure can significantly influence the orofacial structures. A thermographic evaluation was performed to an anatomical zone vital for the embouchure, such as the lip of the saxophonist. Substantial temperature changes occurred before and after playing saxophone. The specificity of the embouchure regarding the position of the lower lip inside the oral cavity, the anatomy and position of the central lower incisors can be some of the factors involved in the origin of the existing temperature differences on the thermographic evaluation.

Abstract
We present MusikVerb, a novel digital reverberation capable of adapting its output to the harmonic context of a live music performance. The proposed reverberation is aware of the harmonic content of an audio input signal and ‘tunes’ the reverberation output to its harmonic content using a spectral filtering technique. The dynamic behavior of MusikVerb avoids the sonic clutter of traditional reverberation, and most importantly, fosters creative endeavor by providing new expressive and musically-aware uses of reverberation. Despite its applicability to any input audio signal, the proposed effect has been designed primarily as a guitar pedal effect and a standalone software application. Copyright