Low‐rank structured sparse representation and reduced dictionary learning‐based abnormity detection

A novel abnormity detection method is presented which combines the low‐rank structured sparse representation and reduced dictionary learning. The multi‐scale three‐dimensional gradient is used as low‐level feature by encoding the spatiotemporal information. A group of reduced sparse dictionaries is learnt by low‐rank approximation based on the structured sparsity property of the video sequence. The contribution of this study is three‐fold: (i) the normal feature clusters can be represented effectively by the reduced dictionaries which are learnt based on the low‐rank nature of the data; (ii) the size of dictionary is determined adaptively by the sparse learning method according to the scene, which makes the representation more compact and efficient; and (iii) the proposed abnormity detection method is of low time complexity and real‐time detection can be obtained. The authors have evaluated the proposed method against the state‐of‐the‐art methods on the public datasets and very promising results have been achieved

Recent Developments in Smart Healthcare

Medicine is undergoing a sector-wide transformation thanks to the advances in computing and networking technologies. Healthcare is changing from reactive and hospital-centered to preventive and personalized, from disease focused to well-being centered. In essence, the healthcare systems, as well as fundamental medicine research, are becoming smarter. We anticipate significant improvements in areas ranging from molecular genomics and proteomics to decision support for healthcare professionals through big data analytics, to support behavior changes through technology-enabled self-management, and social and motivational support. Furthermore, with smart technologies, healthcare delivery could also be made more efficient, higher quality, and lower cost. In this special issue, we received a total 45 submissions and accepted 19 outstanding papers that roughly span across several interesting topics on smart healthcare, including public health, health information technology (Health IT), and smart medicine

Combining SOA and BPM Technologies for Cross-System Process Automation

This paper summarizes the results of an industry case study that introduced a cross-system business process automation solution based on a combination of SOA and BPM standard technologies (i.e., BPMN, BPEL, WSDL). Besides discussing major weaknesses of the existing, custom-built, solution and comparing them against experiences with the developed prototype, the paper presents a course of action for transforming the current solution into the proposed solution. This includes a general approach, consisting of four distinct steps, as well as specific action items that are to be performed for every step. The discussion also covers language and tool support and challenges arising from the transformation

Designing unsupervised intrusion detection for SCADA systems

Supervisory Control and Data Acquisition (SCADA) systems have been introduced to control and monitor industrial processes and our daily critical infrastructures such as electric power generation, water distribution and waste water collection systems. In recent years, the incorporation of Commercial-Off-The-Shelf (COTS) products such as standard hardware and software platforms have begun to be used in SCADA systems. This incorporation has allowed various products from different vendors to be integrated with each other to build a SCADA system at low cost. In addition, the integration of standard protocols (e.g. TCP/IP) into COTS products has increased their connectivity, thereby increasing productivity and profitability. However, this shift from proprietary and customized products to standard ones exposes these systems to cyber threats. An awareness of the potential threats to SCADA systems and the need to reduce risk and mitigate vulnerabilities has recently become an interesting research topic in the security area. A number of security measures have been extensively used in traditional IT such as management, filtering, encryption and intrusion detection. However, such measures cannot be applied directly to SCADA systems without considering their different nature and characteristics. Moreover, none of these security measures can completely protect a system from the potential threats. However, the full complement of these measures can create a robust security system. An Intrusion Detection System (IDS) is one of the security measures that has demonstrated promising results in detecting malicious activities in traditional IT systems, and therefore it has been adapted in SCADA systems. This thesis aims to develop an efficient and accurate unsupervised SCADA data-driven IDS. Four research tasks are being addressed in this thesis. The first task is related to the development of a framework for a SCADA security testbed that is intended to be an evaluation and testing environment for SCADA security in general, and for our proposed IDS in particular. While, the last three tasks are focused on developing a set of solutions that can, together, achieve the aim of this study

Safety and Reliability - Safe Societies in a Changing World

The contributions cover a wide range of methodologies and application areas for safety and reliability that contribute to safe societies in a changing world. These methodologies and applications include: - foundations of risk and reliability assessment and management - mathematical methods in reliability and safety - risk assessment - risk management - system reliability - uncertainty analysis - digitalization and big data - prognostics and system health management - occupational safety - accident and incident modeling - maintenance modeling and applications - simulation for safety and reliability analysis - dynamic risk and barrier management - organizational factors and safety culture - human factors and human reliability - resilience engineering - structural reliability - natural hazards - security - economic analysis in risk managemen

Tematski zbornik radova međunarodnog značaja. Tom 3 / Međunarodni naučni skup "Dani Arčibalda Rajsa", Beograd, 1-2. mart 2013

The Thematic Conference Proceedings contains 138 papers written by eminent scholars in the field of law, security, criminalistics, police studies, forensics, medicine, as well as members of national security system participating in education of the police, army and other security services from Russia, Ukraine, Belarus, China, Poland, Slovakia, Czech Republic, Hungary, Slovenia, Bosnia and Herzegovina, Montenegro, Republic of Srpska and Serbia. Each paper has been reviewed by two competent international reviewers, and the Thematic Conference Proceedings in whole has been reviewed by five international reviewers. The papers published in the Thematic Conference Proceedings contain the overview of con-temporary trends in the development of police educational system, development of the police and contemporary security, criminalistics and forensics, as well as with the analysis of the rule of law activities in crime suppression, situation and trends in the above-mentioned fields, and suggestions on how to systematically deal with these issues. The Thematic Conference Proceedings represents a significant contribution to the existing fund of scientific and expert knowledge in the field of criminalistic, security, penal and legal theory and practice. Publication of this Conference Proceedings contributes to improving of mutual cooperation between educational, scientific and expert institutions at national, regional and international level