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Internet of Things (IoT) is the network of physical objects for communication and data sharing. However, these devices can become shadow IoT devices when they connect to an existing network without the knowledge of the organization’s Information Technology team. More often than not, when shadow devices connect to a network, their inherent vulnerabilities are easily exploited by an adversary and all traces are removed after the attack or criminal activity. Hence, shadow connections pose a challenge for both security and forensic investigations. In this respect, a forensic readiness model for shadow device-inclusive networks is sorely needed for the purposes of forensic evidence gathering and preparedness, should a security or privacy breach occur. However, the hidden nature of shadow IoT devices does not facilitate the effective adoption of the most conventional digital and IoT forensic methods for capturing and preserving potential forensic evidence that might emanate from shadow devices in a network. Therefore, this paper aims to develop a conceptual model for smart digital forensic readiness of organizations with shadow IoT devices. This model will serve as a prototype for IoT device identification, IoT device monitoring, as well as digital potential evidence capturing and preservation for forensic readiness.

In past years, cryptography has been considered a difficult task to achieve on sensor nodes for the Internet of Energy (IoE) owing to the resource-constrained nature of 8and 16-bit microcontroller units (MCUs). Previous attempts at implementing cryptographic services on wireless sensor nodes have resulted in high power consumptions, long operating times, and the depletion of memory resources. Over the last decade, however, processors for the IoT and IoE have improved; with increased operating power and memory resources, longer data bus widths and low-power consumption. With the improvements made to processors suitable for building IoT devices, the question remains whether endpoint nodes should still be considered capable of only supporting the most lightweight of cryptographic mechanisms. We evaluate the capabilities of a device family (Cortex-M series processors) commonly found in programmable logic controllers to implement standard, verified software cryptographic libraries in terms of execution times, memory occupation, and power consumption in order to determine their adequacy for use in smart grid applications. It was seen that the MCUs were easily capable of running standard cryptographic algorithms. However, the use of public key cryptography may still require the inclusion of a hardware crypto accelerator or the use of a secure MCU implementing public key cryptography; as the relatively long execution times seen during the operation of ECDSA, for example, could be intolerable within a real time IoE application.

Thomas Frese, Susanne Hein, Hagen SandholzerDepartment of Primary Care of the Leipzig Medical School, Leipzig, GermanyAbstract: The study was designed to evaluate the acceptance of the self-rated version of the Standardized Assessment of Elderly People in primary care in Europe (STEP) by patients and general practitioners, as well as the feasibility, comprehensibility, and usefulness in gaining new information. In all, 1007 of 1540 patients aged 65 and above, from 28 different Saxon general practices took part. We recognized that 96% of the patients were able to fill in the questionnaire by themselves. It took them an average of approximately 20 minutes to do so. Further analysis of 257 randomly selected patients identified 281 previously unknown problems (1.1 per patient). In the practitioners’ opinion, 16% of these problems, particularly physiological and mental ones, could lead to immediate consequences. Remarkably, newly identified psychosocial problems were not followed by any consequences. Fourteen of the 75 questionnaire items were not answered by more than 9% of the participants. Eight of the 14 frequently unanswered items were marked as difficult to understand by the patients. Altogether the self-rating version of the STEP was found to be feasible and useful. It was well accepted among patients; however, some questions need further review to improve their comprehensibility. Furthermore, it should be investigated why some identified problems do not have consequences and whether there is a need to record these issues at all.Keywords: general practice, primary care, geriatric assessment, health-related problems

Comprehension of the statistical and structural mechanisms governing human dynamics in online interaction plays a pivotal role in online user identification, online profile development, and recommender systems. However, building a characteristic model of human dynamics on the Internet involves a complete analysis of the variations in human activity patterns, which is a complex process. This complexity is inherent in human dynamics and has not been extensively studied to reveal the structural composition of human behavior. A typical method of anatomizing such a complex system is viewing all independent interconnectivity that constitutes the complexity. An examination of the various dimensions of human communication pattern in online interactions is presented in this paper. The study employed reliable server-side web data from 31 known users to explore characteristics of human-driven communications. Various machine-learning techniques were explored. The results revealed that each individual exhibited a relatively consistent, unique behavioral signature and that the logistic regression model and model tree can be used to accurately distinguish online users. These results are applicable to one-to-one online user identification processes, insider misuse investigation processes, and online profiling in various areas.

Muwan Chen,1,2 Dang QS Le,1,2 San Hein,2 Pengcheng Li,1 Jens V Nygaard,2 Moustapha Kassem,3 Jørgen Kjems,2 Flemming Besenbacher,2 Cody Bünger11Orthopaedic Research Lab, Aarhus University Hospital, Aarhus C, Denmark; 2Interdisciplinary Nanoscience Center (iNANO), Aarhus University, Aarhus C, Denmark; 3Department of Endocrinology and Metabolism, Odense University Hospital, Odense C, DenmarkAbstract: Bone tissue engineering implants with sustained local drug delivery provide an opportunity for better postoperative care for bone tumor patients because these implants offer sustained drug release at the tumor site and reduce systemic side effects. A rapid prototyped macroporous polycaprolactone scaffold was embedded with a porous matrix composed of chitosan, nanoclay, and β-tricalcium phosphate by freeze-drying. This composite scaffold was evaluated on its ability to deliver an anthracycline antibiotic and to promote formation of mineralized matrix in vitro. Scanning electronic microscopy, confocal imaging, and DNA quantification confirmed that immortalized human bone marrow-derived mesenchymal stem cells (hMSC-TERT) cultured in the scaffold showed high cell viability and growth, and good cell infiltration to the pores of the scaffold. Alkaline phosphatase activity and osteocalcin staining showed that the scaffold was osteoinductive. The drug-release kinetics was investigated by loading doxorubicin into the scaffold. The scaffolds comprising nanoclay released up to 45% of the drug for up to 2 months, while the scaffold without nanoclay released 95% of the drug within 4 days. Therefore, this scaffold can fulfill the requirements for both bone tissue engineering and local sustained release of an anticancer drug in vitro. These results suggest that the scaffold can be used clinically in reconstructive surgery after bone tumor resection. Moreover, by changing the composition and amount of individual components, the scaffold can find application in other tissue engineering areas that need local sustained release of drug.Keywords: nanoclay, chitosan, scaffold, tissue engineering, drug delivery system

Donor funds are available for treatment of many diseases such as HIV. However, privacy constraints make it hard for donor organisations to verify that they have not sponsored the same patient twice --- or sponsored a patient whose treatment was also sponsored by another donor. This paper presents a protocol based on digital cash that enables donor organisations to obtain a proof (in the form of an e-coin) from healthcare providers for patients such a provider claims to have treated. These coins are distributed to patients at the beginning of a funding cycle. The major challenge is to issue a unique coin to a patient --- even if the coin is reissued. This is achieved without giving anyone access to a national database of identities; all databases contain effectively concealed information. Reissued coins will be identical to previous coins with a probability that can be decided beforehand.