How does intellectual capital align with cyber security?

Purpose – To position the preservation and protection of intellectual capital as a cyber security concern. We outline the security requirements of intellectual capital to help Boards of Directors and executive management teams to understand their responsibilities and accountabilities in this respect.Design/Methodology/Approach – The research methodology is desk research. In other words, we gathered facts and existing research publications that helped us to define key terms, to formulate arguments to convince BoDs of the need to secure their intellectual capital, and to outline actions to be taken by BoDs to do so.Findings – Intellectual capital, as a valuable business resource, is related to information, knowledge and cyber security. Hence, preservation thereof is also related to cyber security governance, and merits attention from boards of directors.Implications – This paper clarifies boards of directors’ intellectual capital governance responsibilities, which encompass information, knowledge and cyber security governance.Social Implications – If boards of directors know how to embrace their intellectual capital governance responsibilities, this will help to ensure that such intellectual capital is preserved and secured.Practical Implications – We hope that boards of directors will benefit from our clarifications, and especially from the positioning of intellectual capital in cyber space.Originality/Value – This paper extends a previous paper published by Von Solms and Von Solms (2018), which clarified the key terms of information and cyber security, and the governance thereof. The originality and value is the focus on the securing of intellectual capital, a topic that has not yet received a great deal of attention from cyber security researchers

SALSA: A Novel Dataset for Multimodal Group Behavior Analysis

Studying free-standing conversational groups (FCGs) in unstructured social settings (e.g., cocktail party ) is gratifying due to the wealth of information available at the group (mining social networks) and individual (recognizing native behavioral and personality traits) levels. However, analyzing social scenes involving FCGs is also highly challenging due to the difficulty in extracting behavioral cues such as target locations, their speaking activity and head/body pose due to crowdedness and presence of extreme occlusions. To this end, we propose SALSA, a novel dataset facilitating multimodal and Synergetic sociAL Scene Analysis, and make two main contributions to research on automated social interaction analysis: (1) SALSA records social interactions among 18 participants in a natural, indoor environment for over 60 minutes, under the poster presentation and cocktail party contexts presenting difficulties in the form of low-resolution images, lighting variations, numerous occlusions, reverberations and interfering sound sources; (2) To alleviate these problems we facilitate multimodal analysis by recording the social interplay using four static surveillance cameras and sociometric badges worn by each participant, comprising the microphone, accelerometer, bluetooth and infrared sensors. In addition to raw data, we also provide annotations concerning individuals' personality as well as their position, head, body orientation and F-formation information over the entire event duration. Through extensive experiments with state-of-the-art approaches, we show (a) the limitations of current methods and (b) how the recorded multiple cues synergetically aid automatic analysis of social interactions. SALSA is available at http://tev.fbk.eu/salsa.Comment: 14 pages, 11 figure

A Survey on Economic-driven Evaluations of Information Technology

The economic-driven evaluation of information technology (IT) has become an important instrument in the management of IT projects. Numerous approaches have been developed to quantify the costs of an IT investment and its assumed profit, to evaluate its impact on business process performance, and to analyze the role of IT regarding the achievement of enterprise objectives. This paper discusses approaches for evaluating IT from an economic-driven perspective. Our comparison is based on a framework distinguishing between classification criteria and evaluation criteria. The former allow for the categorization of evaluation approaches based on their similarities and differences. The latter, by contrast, represent attributes that allow to evaluate the discussed approaches. Finally, we give an example of a typical economic-driven IT evaluation