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Due to the connectivity of the multiple devices and the systems on the same network, rapid development has become possible in Internet of Things (IoTs) for the last decade. But, IoT is mostly affected with severe security challenges due to the potential vulnerabilities happened through the multiple connectivity of sensors, devices and system. In order to handle the security challenges, literature presents a handful of security protocols for IoT. The purpose of this paper is to present a threat profiling and elliptic curve cryptography (ECC)-based mutual and multi-level authentication for the security of IoTs. This work contains two security attributes like memory and machine-related attributes for maintaining the profile table. Also, the profile table stores the value after encrypting the value with ECC to avoid storage resilience using the proposed protocol. Furthermore, three entities like, IoT device, server and authorization centre (AC) performs the verification based on seven levels mutually to provide the resilience against most of the widely accepted attacks. Finally, DPWSim is utilized for simulation of IoT and verification of proposed protocol to show that the protocol is secure against passive and active attacks.

In this work, the authors have presented a threat profiling and ECC-based mutual and multi-level authentication for the security of IoTs. This work contains two security attributes like memory and machine-related attributes for maintaining the profile table. Also, the profile table stores the value after encrypting the value with ECC to avoid storage resilience using the proposed protocol. Furthermore, three entities like, IoT device, server and AC performs the verification based on seven levels mutually to provide the resilience against most of the widely accepted attacks.

DPWSim is utilized for simulation of IoT and verification of the proposed protocol to show that this protocol is secure against passive and active attacks. Also, attack analysis is carried out to prove the robustness of the proposed protocol against the password guessing attack, impersonation attack, server spoofing attack, stolen verifier attack and reply attack.

This paper presents a threat profiling and ECC-based mutual and multi-level authentication for the security of IoTs.

The purpose of this paper is to conduct an independent analysis of all existing geographic profiling software packages to determine if any one is more accurate than the others or if any of the software systems are any more accurate than simple spatial distribution strategies at locating the home base of serial offenders.

An analysis was conducted of all existing geographic profiling software as well as three spatial distribution methods of profiling. Differences in accuracy were assessed using four different methods; dichotomous profile accuracy, simple error measurement, profile error distance, and average top profile area.

Results indicate that not only are the different profiling software systems no more accurate than the spatial distribution control methods, but that accuracy in general was marginal at best. In addition results indicated that certain crimes, such as commercial robbery, were particularly difficult to profile and that the number of crimes in a series was not by itself a good indicator of success of a profile.

The paper shows that future research needs to focus more on determining how various factors such as city type, crime type, road network and spatial aspects of a crime series (dispersion and search area) impact profiling accuracy. In addition future research should also endeavor to determine whether these advanced strategies are substantially more accurate than other simple profiling strategies such as human prediction. Finally, future research should also seek to examine geographic profiling in a real world setting and how geographic profiling impacts the success of open investigations.

Practically, this study casts doubt not only on the overall accuracy of profiling strategies in predicting the likely home location of an offender, but also on whether probability strategies are substantially better than spatial distribution strategies.

This research was the first to independently analyze all of the existing geographic profiling systems against control methods for the purpose of determining the accuracy of these different methods.

This paper seeks to examine the profile of artifacts with superior returns in order to identify the usage of management accounting in a Brazilian context.

This paper is part of an empirical research project based on a probabilistic sample (119 entities) from medium and large Brazilian companies, selected according to economic sector and revenues. The management accounting artifacts were identified according to the five stages of International Management Accounting Practice 1 (IMAP 1, International Federation of Accountants (IFA), 1998). Logistic regression was applied to identify the artifacts most adherent to companies with the outstanding profile.

In the analysis of the five stages of IMAP 1, only the fifth stage, value management, provided the significance level to accept the hypothesis. In this stage, the artifacts that were accepted with a significance level of 90 percent were return on equity and balanced scorecard.

The field research was applied only in the Brazilian market.

Especially for researchers, this paper raises some important questions, and aims to stimulate future studies in management accounting.

This paper contributes by presenting research from outside the Anglo‐Saxon world, and by analyzing the artifacts' profile with approaches balanced between positive and qualitative accounting.

This paper describes part of the Chemical Abstracts Condensate Evaluation (CAC Evaluation) carried out by the United Kingdom Chemical Information Service (UKCIS).

Collaboration is essential to BIM-enabled construction projects (BECPs). To facilitate collaboration, various strategies have been proposed. Usually, project team adopts single collaboration strategy for convenience. However, BIM-based collaboration is rather dynamic and exposed to a lot of barriers and risks, which easily changes collaboration conditions among partners. Therefore, better understanding of collaboration conditions in BECPs is crucial to develop flexible and suitable strategies. To fill in the gap, this study intends to identify typical collaboration profiles in BECPs and develop a profile-oriented strategy selection framework.

This study establishes a six-dimensional collaborative behavior matric based on a comprehensive literature review to profile collaboration. Then a questionnaire survey is conducted to collect the collaboration data from 162 BECPs in China. Finally, latent profile analysis (LPA) is utilized to identify the typical collaboration profiles in BECPs.

Through LPA, four profiles are identified, including restricted collaboration profile, smarmy collaboration profile, intuitive collaboration profile, and modest collaboration profile. A profile-oriented strategy selection framework is also established to match strategies with collaboration profiles. Two major categories of strategies are proposed to promote these collaboration profiles including trust building and elevating strategies and collaborative behaviors facilitating strategies.

These identified profiles can provide an insightful understanding on the diversified collaboration conditions in BECPs.

The profile-oriented strategy selection framework will help managers develop strategies flexibly to promote collaboration in BECPs.

This study validates four typical collaboration profiles in BECPs. Moreover, a profile-oriented strategy selection framework is also established for collaboration facilitation in BECPs.

The article aims to present a holistic approach to analysis of patterns on complex online profiles, demonstrated on profiles of European scientists.

An existing analytical framework was developed to incorporate a holistic understanding of online profiles. The framework was applied to a sample of 188 online profiles belonging to 48 European scientists. The profile data were studied on three levels (content‐unit level, profile‐instance level, and profile‐network level), using methods of the qualitative comparative analysis to derive profiling patterns.

The approach developed in this work generated profiling patterns for European scientists. The patterns exist on all three levels, forming a hierarchy. This pattern structure shows the variety of ways in which scientists can use the internet for self‐presentation.

The study was based on a holistic understanding of online self‐presentation, acknowledging that personal presentation can be spread across different platforms. The study presented shows how this understanding can be used when analysing online profiling behaviour. The profiling patterns of European scientists identified in this study supplement existing typologies. The study serves as a foundation to structure further research as well as to inform practitioners.

The sector of work integration social enterprises (WISEs) has grown considerably all across Europe during the last few decades. Unfortunately, many governments do not have a clear sight on the profile of WISEs they are supporting. The purpose of this paper is to provide a detailed profile of WISEs in Flanders and identify shifts and differences within and between WISE work forms.

Data are utilized from a newly designed monitoring instrument to capture the profile of WISEs in Flanders (Belgium). This paper discusses some methodological issues in using administrative data to monitor this sector, and present a profile at the enterprise level and at the worker level. Parametric and nonparametric tests are applied to assess the significance of profile shifts and differences within this sector.

One of the dominant features of the analysis has been the identification of profound differences that can be observed between the work forms and the slighter differences that are observed within the work forms while comparing start‐ups to their mature counterparts. Therefore, it might be concluded that the policy framework on the social insertion economy as it currently exists in Flanders has a strong regulative impact on the WISEs in Flanders. This impact translates itself through differences in the profile of enterprises, as well as differences in the profile of the target group workers they employ.

A dataset combining administrative data are created to estimate enterprise and target group worker profiles in this sector. The discussion on methodological aspects involved contributes to the literature on monitoring this sector.

The purpose of this paper is to design and test a model for analyzing organizational performance management (PM) practices.

This study follows the design science approach. Variables affecting the status of PM are reviewed and classified based on existing literature. These variables are analyzed and a compact set of critical variables are chosen to represent PM maturity. Designed model is implemented in practice as a survey receiving 271 responses, and tested by using both quantitative and qualitative approach.

The survey data are utilized in the development of four distinct PM maturity profiles. The empirical results provide understanding on the current PM maturity level and common development targets in Finnish organizations.

External validity of the research is compromised by the context and respondent group. More in-depth qualitative studies could provide more understanding on the causes of presented findings.

The proposed model offers best practices to develop PM and identifies variables crucial to create satisfaction toward PM. The presented profiles also help in evaluating the status of PM in the organization examined.

The originality of the new model relates to its balance between rigor and relevance. In addition, the study is one of the first attempts to widely apply PM maturity models in practice. A distinctive feature of this study is the maturity profiles which are built upon empirical data.

The purpose of this article is to assist strategic planners and managers in developing and utilizing a strategic profile of the firm in order to conduct a SWOT analysis and therein apply its results appropriately.

How are the objectives achieved? This objective is achieved by developing a seven‐step procedure, with templates that assist planners and managers in creating a strategic profile of the firm and then utilizing that profile as a filtering mechanism for a SWOT analysis. The article covers the topics of competitive approach, competitive strategy, organizational structure, leadership, and organizational culture.

The profile may not only be employed as a method for centering a firm's strategic planning and implementation, it may also be used for creating a competitive profile of the firm's competitors.

The practical implications of the article indicate the need to attach a pre‐planning stage to the typical strategic management process of a firm. This action will lead to the creation of a preliminary strategic profile of the firm. This profile is used to produce a more accurate SWOT analysis with a greater likelihood of successful strategy implementation.

The value of this article is that it introduces a pre‐planning stage to the traditional strategic management process. This stage creates a strategic profile of the firm which managers and strategic planners can use for two purposes: producing a more accurate SWOT analysis with a greater likelihood of successful strategy implementation; and creating a strategic profile of their competitors.

A new algorithm for reducing the profile and root‐mean‐square wavefront of sparse matrices with a symmetric structure is presented. Our numerical experiments show an overall better performance than the widely used reverse Cuthill‐McKee, Gibbs‐King and Sloan algorithms. The new algorithm is fast, simple and useful in engineering analysis where it can be employed to derive efficient orderings for both profile and frontal solution schemes.