Weak signal identification with semantic web mining

We investigate an automated identification of weak signals according to Ansoff to improve strategic planning and technological forecasting. Literature shows that weak signals can be found in the organization's environment and that they appear in different contexts. We use internet information to represent organization's environment and we select these websites that are related to a given hypothesis. In contrast to related research, a methodology is provided that uses latent semantic indexing (LSI) for the identification of weak signals. This improves existing knowledge based approaches because LSI considers the aspects of meaning and thus, it is able to identify similar textual patterns in different contexts. A new weak signal maximization approach is introduced that replaces the commonly used prediction modeling approach in LSI. It enables to calculate the largest number of relevant weak signals represented by singular value decomposition (SVD) dimensions. A case study identifies and analyses weak signals to predict trends in the field of on-site medical oxygen production. This supports the planning of research and development (R&D) for a medical oxygen supplier. As a result, it is shown that the proposed methodology enables organizations to identify weak signals from the internet for a given hypothesis. This helps strategic planners to react ahead of time

Защита информации от шпионских программ

В современном мире многое решает информация, и не только находящаяся на компьютерах различных компаний, но и у простых пользователей. Это могут быть пароли, адреса электронной почты, личная информация и т.д. Для многих фирм такие данные представляют большой интерес. Упрощает сбор этих сведений появление большого количества шпионских программ, в том числе и вредоносных, которые начинают следить за каждым нашим действием. В этой статье рассмотрены основные методы защиты информации от программ-шпионов.In the modern world, much is decided by the means of information, not only located in the computers of various companies, but also among ordinary users. Passwords, e-mail addresses, personal information are the most important issues of information security. For many companies such data are of great interest. The collection of this type of information is simplified by the appearance of a large number of spyware programs, including malicious ones, which begin to monitor our every action. This paper describes main methods of protecting information from spyware

Role of Governance in Achieving Sustainable Cybersecurity for Business Corporations

The study discusses the role of governance in the sustainability of cybersecurity for business corporations. Its objectives focus on tracking technology developments and their impact on industrial espionage attacks and theft of industrial intellectual property. It also identifies the indicators and effects of such espionage and theft on business corporations. The study is based on the content analysis methodology for analyzing intellectual production pertinent to cybersecurity governance and industrial cyber espionage. The study concludes that relying on information and communication technology without adopting a cybersecurity integrated approach including technical, organizational, and social measures leads to the disclosure of a corporation’s trade secrets by unauthorized persons. Moreover, loss of competitive advantage and damage to the corporate’s financial affairs and reputation may occur. The most important indicators of the study predicting dangers affecting business corporations are the absence of a strategic plan for cybersecurity, inefficient programs for training and cybersecurity awareness, and a lack of secure infrastructure. The vulnerability of business corporations to breaches has many implications. The study shows that cybersecurity governance in turn prepares the corporation to encounter risks targeting its trade secrets. The study finds that there are three integrated elements processes, technology, and persons, for establishing an effective cybersecurity governance program. Accordingly, the main aspects of cybersecurity governance can be employed. The study highlights a range of challenges that business corporations may face when implementing the cybersecurity governance program. These challenges are related to cybersecurity strategy, unified processes, implementation and accountability, senior leadership control, and resources

Mitigating the Risk of Knowledge Leakage in Knowledge Intensive Organizations: a Mobile Device Perspective

In the current knowledge economy, knowledge represents the most strategically significant resource of organizations. Knowledge-intensive activities advance innovation and create and sustain economic rent and competitive advantage. In order to sustain competitive advantage, organizations must protect knowledge from leakage to third parties, particularly competitors. However, the number and scale of leakage incidents reported in news media as well as industry whitepapers suggests that modern organizations struggle with the protection of sensitive data and organizational knowledge. The increasing use of mobile devices and technologies by knowledge workers across the organizational perimeter has dramatically increased the attack surface of organizations, and the corresponding level of risk exposure. While much of the literature has focused on technology risks that lead to information leakage, human risks that lead to knowledge leakage are relatively understudied. Further, not much is known about strategies to mitigate the risk of knowledge leakage using mobile devices, especially considering the human aspect. Specifically, this research study identified three gaps in the current literature (1) lack of in-depth studies that provide specific strategies for knowledge-intensive organizations based on their varied risk levels. Most of the analysed studies provide high-level strategies that are presented in a generalised manner and fail to identify specific strategies for different organizations and risk levels. (2) lack of research into management of knowledge in the context of mobile devices. And (3) lack of research into the tacit dimension of knowledge as the majority of the literature focuses on formal and informal strategies to protect explicit (codified) knowledge.Comment: The University of Melbourne PhD Thesi

Protecting research and technology from espionage

In recent years, governmental and industrial espionage becomes an increased problem for governments and corporations. Especially information about current technology development and research activities are interesting targets for espionage. Thus, we introduce a new and automated methodology that investigates the information leakage risk of projects in research and technology (R&T) processed by an organization concerning governmental or industrial espionage. Latent semantic indexing is applied together with machine based learning and prediction modeling. This identifies semantic textual patterns representing technologies and their corresponding application fields that are of high relevance for the organization's strategy. These patterns are used to estimate organization's costs of an information leakage for each project. Further, a web mining approach is processed to identify worldwide knowledge distribution within the relevant technologies and corresponding application fields. This information is used to estimate the probability that an information leakage occur. A risk assessment methodology calculates the information leakage risk for each project. In a case study, the information leakage risk of defense based R&T projects is investigated. This is because defense based R&T is of particularly interest by espionage agents. Overall, it can be shown that the proposed methodology is successful in calculation the espionage information leakage risk of projects. This supports an organization by processing espionage risk management