The present communication architecture supporting control of the electric power grid makes it difficult to use the wealth of data collected at high rates in substations, retarding their use in new applications for controlling the grid. A flexible, real-time data network would make it possible to use these data for many more control and protection applications, potentially increasing the grid's reliability and increasing its operating efficiency. Applications that could use these data include: decentralised load frequency control; closed-loop voltage control; transient and small-signal stabilisation; and special protection schemes using data gathered over a wide area. Such applications and the flexibility of the underlying communication network imply greater data sharing between utilities, leading to new performance, availability and reliability requirements. This paper examines the security, trust and Quality of Service (QoS) requirements imposed by these applications and shows how they are met by mechanisms included in the GridStat middleware framework that we are developing.
Breach or lack of online privacy has become almost a commonplace of today's digital age, mainly due to the inability of either enforcing privacy requirements or imposing strict sanctions against violations. The current state of affairs in data privacy is at a turning point for companies operating in EU state members as the enforcement of the General Data Protection Regulation (GDPR) empowers users with control over their personal data, including regulating its disclosure, withdrawing disclosure consent at any given time and tracking their data trail. Compliance with the GDPR is mandatory and it requires signifiant amendments and/or restructuring of data processing routines undertaken by enterprises. Currently, there is no framework to support the GDPR principles. This paper proposes privacyTracker, a GDPR-compliant framework that supports basic GDPR principles including data traceability and allowing a user to get a cryptographically verifiable snapshot of his/her data trail.
Data delivery in the power grid today is, for the most part, hard-coded, tedious to implement and change, and does not provide any real end-to-end guarantees. Applications have started to emerge that require real-time data delivery in order to provide a wide-area assessment of the health of the power grid. This paper presents two novel communication infrastructures that facilitate the delivery of power data to intended recipients, each based on a different communication paradigm. The necessity of forming and managing trusted partnerships in either framework is further discussed.
The field of information security (IS) has long been characterized by the challenge of approaching it in a systematic manner as it constantly evolves. Academic institutions offer specialized courses on security, however it is important to have students exposed to the basic security practices regardless of their field of interest. Thus the topic of IS as such is could be, in part, integrated into various multidisciplinary courses, where educators must find a common learning ground to motivate and encourage students, coming from different specializations, to: recognize relationships between concepts of IS comprehended, underline the structure of what is being learned and to show their understanding.The authors in this paper initially present an overview of the case-based learning theory, and proceed with focusing on the lecture's teaching/learning development and delivery material for the undergraduate course MIS 151-Business Software Applications at the University of Nicosia. The results of this case study will offer indications on how to design a case based learning environment in the area of IS or any other course that could be taught through cases.
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