Designing blockchain-based SIEM 3.0 system

2018 ◽  
Vol 26 (4) ◽  
pp. 491-512 ◽  
Author(s):  
Natalia Miloslavskaya
Keyword(s):  
Business Processes ◽  
Optimal Number ◽  
Integrated System ◽  
Evaluation Methodology ◽  
Next Generation ◽  
Event Management ◽  
Content Type ◽  
Security Controls ◽  
Advanced Technologies ◽  
The Future

Purpose Nowadays, to operate securely and legally and to achieve business objectives, secure valuable assets and support uninterrupted business processes, all organizations need to match a lot of internal and external compliance regulations such as laws, standards, guidelines, policies, specifications and procedures. An integrated system able to manage information security (IS) for their intranets in the new cyberspace while processing tremendous amounts of IS-related data coming in various formats is required as never before. These data, after being collected and analyzed, should be evaluated in real-time from an IS incident viewpoint, to identify an incident’s source, consider its type, weigh its consequences, visualize its vector, associate all target systems, prioritize countermeasures and offer mitigation solutions with weighted impact relevance. Different security information and event management (SIEM) systems cope with this routine and usually complicated work by rapid detection of IS incidents and further appropriate response. Modern challenges dictate the need to build these systems using advanced technologies such as the blockchain (BC) technologies (BCTs). The purpose of this study is to design a new BC-based SIEM 3.0 system and propose a methodology for its evaluation. Design/methodology/approach Modern challenges dictate the need to build these systems using advanced technologies such as the BC technologies. Many internet resources argue that the BCT suits the intrusion detection objectives very well, but they do not mention how to implement it. Findings After a brief analysis of the BC concept and the evolution of SIEM systems, this paper presents the main ideas on designing the next-generation BC-based SIEM 3.0 systems, for the first time in open access publications, including a convolution method for solving the scalability issue for ever-growing BC size. This new approach makes it possible not to simply modify SIEM systems in an evolutionary manner, but to bring their next generation to a qualitatively new and higher level of IS event management in the future. Research limitations/implications The most important area of the future work is to bring this proposed system to life. The implementation, deployment and testing onto a real-world network would also allow people to see its viability or show that a more sophisticated model should be worked out. After developing the design basics, we are ready to determine the directions of the most promising studies. What are the main criteria and principles, according to which the organization will select events from PEL for creating one BC block? What is the optimal number of nodes in the organization’s BC, depending on its network assets, services provided and the number of events that occur in its network? How to build and host the SIEM 3.0 BC infrastructure? How to arrange streaming analytics of block’s content containing events taking place in the network? How to design the BC middleware as software that enables staff to interact with BC blocks to provide services like IS events correlation? How to visualize the results obtained to find insights and patterns in historical BC data for better IS management? How to predict the emergence of IS events in the future? This list of questions can be continued indefinitely for a full-fledged design of SIEM 3.0. Practical implications This paper shows the full applicability of the BC concept to the creation of the next-generation SIEM 3.0 systems that are designed to detect IS incidents in a modern, fully interconnected organization’s network environment. The authors’ attempt to begin with a detailed description of the basics for a BC-based SIEM 3.0 system design is presented, as well as the evaluation methodology for the resulting product. Originality/value The authors believe that their new revolutionary approach makes it possible not to simply modify SIEM systems in an evolutionary manner, but to bring their next generation to a qualitatively new and higher level of IS event management in the future. They hope that this paper will evoke a lively response in this segment of the security controls market from both theorists and direct developers of living systems that will implement the above approach.

Human capital and AI in industry 4.0. Convergence and divergence in social entrepreneurship in Russia

2020 ◽  
Vol 21 (4) ◽  
pp. 565-581 ◽  
Author(s):  
Elena G. Popkova ◽  
Bruno S. Sergi
Keyword(s):  
Human Capital ◽  
Social Entrepreneurship ◽  
Industry 4.0 ◽  
Business Processes ◽  
Content Type ◽  
Goods And Services ◽  
The Future ◽  
Social Goods ◽  
Human Intellect ◽  
Intelligent Decision Support

PurposeThe purpose of this article is to determine the future proportion and variants of usage of human intellect and artificial intelligence (AI) in entrepreneurship of industry 4.0 that fits social entrepreneurship the most. It could be convergence (simultaneous utilization during the same entrepreneurial processes with the emphasis on unique features by the terms of the competition) or divergence (usage during different business processes by the terms of labor division).Design/methodology/approachThe authors determine the influence of usage of human capital and AI on the efficiency of social entrepreneurship. The authors identify the perspective directions of usage of AI in social entrepreneurship and evaluate the readiness and interest in the implementation of these directions of concerned parties. The authors also model the optimal proportions and the variant of usage of human intellect and AI in social entrepreneurship in the conditions of Industry 4.0 in the future (until 2030).FindingsIt is found that social entrepreneurship will use the opportunities of Industry 4.0 for optimization of its activities until 2030, but will refuse from full automatization, using human intellect and AI at the same time.Originality/valueThe most perspective directions of application of AI at social companies are a collection of social goods and services, marketing studies and promotion of social goods and services. Neither convergence nor divergence of human and artificial intellectual capital does not fully conform to the interests of concerned parties. The most preferable (optimal) variant of usage of human intellect and AI in social entrepreneurship in the Industry 4.0 is human intelligent decision support.

Tending and Trekking towards Composite Oriented Architecture (COA)

2010 ◽  
pp. 386-414
Author(s):  
Pethuru Raj Chelliah
Keyword(s):  
Business Processes ◽  
Building Blocks ◽  
End Users ◽  
Government Agencies ◽  
Service Orientation ◽  
Next Generation ◽  
On Demand ◽  
The Future

With the noteworthy spurt of service orientation (SO) principles, the spur and surge for composition paradigm have taken a fabulous and fruitful dimension and perspective. Composites are emerging and establishing as the promising, proven and potential building-blocks in the pulsating ICT space. Enterprises are very optimistic and sensitive about the shining days of composites in their day-to-day dealings and obligations to their restive partners, government agencies, venerable customers, demanding end-users, and loyal employees. In short, composites are bound to increasingly and illuminatingly participate and contribute towards fulfilling the goals of realizing integrated, optimized, smart and lean business processes that in turn can lead to extended, connected, adaptive, and on-demand businesses. As next-generation ICT is presumed to thrive on spontaneous and seamless collaboration among systems, services, servers, sensors, etc. by sending messages as well as smartly sharing a wider variety of connected and empowered resources, there arises a distinct identity and value for progressive, penetrative and pervasive composites. Already we started to read, hear and experience composite applications, services, and views. As composition is to flower and flourish in a positive fashion, the future IT is definitely on right track. In this chapter, you can find discussions about how rapidly and smoothly services enable business-aligned composites realization. There are sections dealing with prominent composition paradigms, patterns, platforms, processes, practices, products, perspectives, problems and potentials.

Succession Planning 2.0: building bench through better execution

2014 ◽  
Vol 13 (6) ◽  
pp. 233-242 ◽  
Author(s):  
Allan H. Church
Keyword(s):  
Succession Planning ◽  
System Integration ◽  
Personal Experience ◽  
Management Practices ◽  
Business Processes ◽  
Talent Management ◽  
Integrated Model ◽  
The State ◽  
Content Type ◽  
The Future

Purpose – This paper aims to present nine observations about the state of succession planning and talent management (TM) practices today along with recommendations and an integrated model for enhancing the effectiveness of these efforts. Many talent management practitioners today would agree that the succession planning processes in their organizations are limited in their effectiveness. They are often seen as another complex and time-consuming human resource (HR) process, and often paper exercise, to be completed and archived until the following year. This is due to several factors, including a lack of focus on the future capabilities needed; inconsistencies in the implementation of processes designed; limited system integration of talent and succession planning efforts with other key HR and business processes; and lack of accountability for making decisions and ensuring they are fully executed. Given the importance of identifying, developing and preparing leaders for the future success of the business this is quite concerning. What is needed in the field is an upgrade to Succession Planning 2.0. But what does that look like exactly? What can senior practitioners do to transform them to have a significantly greater impact going forward? Design/methodology/approach – The content here is based on inputs from a variety of sources including dialog with more than 50 heads of talent management in major corporations, discussions and reviews at professional conferences, debates with academic scholars and the author’s personal experience with designing and leading major succession planning efforts. Findings – Nine observations about the state of succession planning and talent management practices today are presented. An integrated model of Succesion Planning execution is introduced. Originality/value – This paper represents the authors’ unique synthesis of discussions, informal data and personal experience running succession planning (SP) and TM efforts for over a decade.

Welcome to the marriage of human capability and artificial intelligence

2019 ◽  
Vol 19 (1) ◽  
pp. 10-14
Author(s):  
Ryan Scott ◽  
Malcolm Le Lievre
Keyword(s):  
Artificial Intelligence ◽  
Team Building ◽  
Workplace Change ◽  
Content Type ◽  
The Future ◽  
Human Capability ◽  
Mind Set ◽  
Future Work ◽  
Crucial Part ◽  
Practical Implications

Purpose The purpose of this paper is to explore insights methodology and technology by using behavioral to create a mind-set change in the way people work, especially in the age of artificial intelligence (AI). Design/methodology/approach The approach is to examine how AI is driving workplace change, introduce the idea that most organizations have untapped analytics, add the idea of what we know future work will look like and look at how greater, data-driven human behavioral insights will help prepare future human-to-human work and inform people’s work with and alongside AI. Findings Human (behavioral) intelligence will be an increasingly crucial part of behaviorally smart organizations, from hiring to placement to adaptation to team building, compliance and more. These human capability insights will, among other things, better prepare people and organizations for changing work roles, including working with and alongside AI and similar tech innovation. Research limitations/implications No doubt researchers across the private, public and nonprofit sectors will want to further study the nexus of human capability, behavioral insights technology and AI, but it is clear that such work is already underway and can prove even more valuable if adopted on a broader, deeper level. Practical implications Much “people data” inside organizations is currently not being harvested. Validated, scalable processes exist to mine that data and leverage it to help organizations of all types and sizes be ready for the future, particularly in regard to the marriage of human capability and AI. Social implications In terms of human capability and AI, individuals, teams, organizations, customers and other stakeholders will all benefit. The investment of time and other resources is minimal, but must include C-suite buy in. Originality/value Much exists on the softer aspects of the marriage of human capability and AI and other workplace advancements. What has been lacking – until now – is a 1) practical, 2) validated and 3) scalable behavioral insights tech form that quantifiably informs how people and AI will work in the future, especially side by side.

scholarly journals Climate Vulnerability and Adaptation Challenges in Szekszárd Wine Region, Hungary

Climate ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 25
Author(s):  
Attila Buzási
Keyword(s):  
Environmental Sustainability ◽  
Sustainability Assessment ◽  
Evaluation Methodology ◽  
Intrinsic Factors ◽  
Vulnerability Assessments ◽  
The Future ◽  
Climate Vulnerability ◽  
High Level ◽  
Wine Region ◽  
Lock In

Wine producers face several challenges regarding climate change, which will affect this industry both in the present and the future. Vulnerability assessments are at the forefront of current climate research, therefore, the present paper has two main aims. First, to assess two components of climate vulnerability regarding the Szekszárd wine region, Hungary; second, to collect and analyze adaptation farming techniques in terms of environmental sustainability aspects. Exposure analyses revealed that the study area will face several challenges regarding intensive drought periods in the future. Sensitivity indicators show the climate-related characteristics of the most popular grapevines and their relatively high level of susceptibility regarding changing climatic patterns. Since both external and intrinsic factors of vulnerability show deteriorating trends, the development of adaptation actions is needed. Adaptation interventions often provide unsustainable solutions or entail maladaptation issues, therefore, an environmental-focused sustainability assessment of collected interventions was performed to avoid long-term negative path dependencies. The applied evaluation methodology pointed out that nature-based adaptation actions are preferred in comparison to using additional machines or resource-intensive solutions. This study can fill the scientific gap by analyzing this wine region for the first time, via performing an ex-ante lock-in analysis of available and widely used adaptation interventions in the viticulture sector.

scholarly journals Teaching innovations in Asian higher education: perspectives of educators

2018 ◽  
Vol 13 (2) ◽  
pp. 179-190 ◽  
Author(s):  
T.M. Wong
Keyword(s):  
Higher Education ◽  
Design Methodology ◽  
Higher Education Institutions ◽  
The Other ◽  
Asian Countries ◽  
Structured Interviews ◽  
Content Type ◽  
Advanced Technologies ◽  
The Many

Purpose The purpose of this paper is to identify the teaching innovations that have been implemented in higher education institutions in Asia and the perspectives of educators on them. Design/methodology/approach Semi-structured interviews were conducted with 28 educators who were affiliated with 23 higher education institutions in ten Asian countries/regions. The interviews covered information about the teaching innovations of the participants’ institutions, the characteristics of the innovative practices and the participants’ views on them. The relationships between the characteristics of institutions and their teaching innovations were also examined. Findings The results showed that the teaching innovations included two main categories, namely, those which involved the use of advanced technologies and those which did not. The innovations that involved the use of advanced technologies were mainly from larger institutions, while the other category was mainly from smaller ones and had been practised for less than 1.5 years. Differences were also identified between the two categories in terms of the aims and importance of innovations, innovative features, the evaluation of innovations and improvements needed for them. Originality/value The results highlighted that technology is only one of the many aspects of teaching innovations, which is different from the view prevailing in the literature. They also suggested that differences in the scale of institutions (in terms of number of students) possibly influences the kind of teaching innovations adopted.

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