Comprehensive Survey and Taxonomies of False Injection Attacks in Smart Grid: Attack Models, Targets, and Impacts

Smart Grid has rapidly transformed the centrally controlled power system into a massively interconnected cyber-physical system that benefits from the revolutions happening in the communications (e.g. 5G) and the growing proliferation of the Internet of Things devices (such as smart metres and intelligent electronic devices). While the convergence of a significant number of cyber-physical elements has enabled the Smart Grid to be far more efficient and competitive in addressing the growing global energy challenges, it has also introduced a large number of vulnerabilities culminating in violations of data availability, integrity, and confidentiality. Recently, false data injection (FDI) has become one of the most critical cyberattacks, and appears to be a focal point of interest for both research and industry. To this end, this paper presents a comprehensive review in the recent advances of the FDI attacks, with particular emphasis on 1) adversarial models, 2) attack targets, and 3) impacts in the Smart Grid infrastructure. This review paper aims to provide a thorough understanding of the incumbent threats affecting the entire spectrum of the Smart Grid. Related literature are analysed and compared in terms of their theoretical and practical implications to the Smart Grid cybersecurity. In conclusion, a range of technical limitations of existing false data attack research is identified, and a number of future research directions is recommended.Comment: Double-column of 24 pages, prepared based on IEEE Transaction articl

REMODELLING OF INVESTMENT ACTIVITY WORLDWIDE WITHIN THE WORLD ECONOMIC CRISIS

Starting from 2008 the development of investment activity worldwide has been earmarked by the world economic crisis, its effect resulting in a major decline of direct foreign investment flows, after an extremely favourable evolution in the past years. The activity of transnational corporations, a major source of developing foreign investments in the previous years, has declined considerably. Under these circumstances, the managers of transnational corporations had to make decisions concerning activity restructuring, cost cutting by fair means or foul, or requiring the government support in order to save from bankruptcy. Some succeeded to survive, some didn’t. Information and communication technology (ICT) industry witnessed an enormous increase in the process of globalization. In the last years, the vast implementation of ICT in all levels of society represents a global tendency of world development. The ICT sector became one of the most dynamic and viable sectors of the national economy, and the investments and advanced use of technologies have generated a real revolution in this domain. The present paper aims to emphasize some aspects related to changes occurred in the field of investment activity worldwide, subject to the impact of the current economic downturn.foreign direct investment inflows, foreign direct investment outflows, transnational corporation, ICT industry

Real-Time Machine Learning Models To Detect Cyber And Physical Anomalies In Power Systems

A Smart Grid is a cyber-physical system (CPS) that tightly integrates computation and networking with physical processes to provide reliable two-way communication between electricity companies and customers. However, the grid availability and integrity are constantly threatened by both physical faults and cyber-attacks which may have a detrimental socio-economic impact. The frequency of the faults and attacks is increasing every year due to the extreme weather events and strong reliance on the open internet architecture that is vulnerable to cyber-attacks. In May 2021, for instance, Colonial Pipeline, one of the largest pipeline operators in the U.S., transports refined gasoline and jet fuel from Texas up the East Coast to New York was forced to shut down after being attacked by ransomware, causing prices to rise at gasoline pumps across the country. Enhancing situational awareness within the grid can alleviate these risks and avoid their adverse consequences. As part of this process, the phasor measurement units (PMU) are among the suitable assets since they collect time-synchronized measurements of grid status (30-120 samples/s), enabling the operators to react rapidly to potential anomalies. However, it is still challenging to process and analyze the open-ended source of PMU data as there are more than 2500 PMU distributed across the U.S. and Canada, where each of which generates more than 1.5 TB/month of streamed data. Further, the offline machine learning algorithms cannot be used in this scenario, as they require loading and scanning the entire dataset before processing. The ultimate objective of this dissertation is to develop early detection of cyber and physical anomalies in a real-time streaming environment setting by mining multi-variate large-scale synchrophasor data. To accomplish this objective, we start by investigating the cyber and physical anomalies, analyzing their impact, and critically reviewing the current detection approaches. Then, multiple machine learning models were designed to identify physical and cyber anomalies; the first one is an artificial neural network-based approach for detecting the False Data Injection (FDI) attack. This attack was specifically selected as it poses a serious risk to the integrity and availability of the grid; Secondly, we extend this approach by developing a Random Forest Regressor-based model which not only detects anomalies, but also identifies their location and duration; Lastly, we develop a real-time hoeffding tree-based model for detecting anomalies in steaming networks, and explicitly handling concept drifts. These models have been tested and the experimental results confirmed their superiority over the state-of-the-art models in terms of detection accuracy, false-positive rate, and processing time, making them potential candidates for strengthening the grid\u27s security

Enhancing Cyber-Resiliency of DER-based SmartGrid: A Survey

The rapid development of information and communications technology has enabled the use of digital-controlled and software-driven distributed energy resources (DERs) to improve the flexibility and efficiency of power supply, and support grid operations. However, this evolution also exposes geographically-dispersed DERs to cyber threats, including hardware and software vulnerabilities, communication issues, and personnel errors, etc. Therefore, enhancing the cyber-resiliency of DER-based smart grid - the ability to survive successful cyber intrusions - is becoming increasingly vital and has garnered significant attention from both industry and academia. In this survey, we aim to provide a systematical and comprehensive review regarding the cyber-resiliency enhancement (CRE) of DER-based smart grid. Firstly, an integrated threat modeling method is tailored for the hierarchical DER-based smart grid with special emphasis on vulnerability identification and impact analysis. Then, the defense-in-depth strategies encompassing prevention, detection, mitigation, and recovery are comprehensively surveyed, systematically classified, and rigorously compared. A CRE framework is subsequently proposed to incorporate the five key resiliency enablers. Finally, challenges and future directions are discussed in details. The overall aim of this survey is to demonstrate the development trend of CRE methods and motivate further efforts to improve the cyber-resiliency of DER-based smart grid.Comment: Submitted to IEEE Transactions on Smart Grid for Publication Consideratio

Australia's service sector: a study in diversity

This paper seeks to dispel some of the myths commonly harboured about service jobs, service trade and the contribution services make to productivity improvements and living standards. Services account for more than three-quarters of national output and for four out of every five jobs.services - employment - international service trade - productivity

Is Africa’s Skepticism of Foreign Capital Justified? Evidence from East African Firm Survey Data

The world has increasingly recognized that private capital has a vital role to play in economic development. African countries have moved to liberalize the investment environment, yet have not received much FDI. At least part of this poor performance is because of lingering skepticism toward foreign investment, owing to historical, ideological, and political reasons. This wariness has manifested in many ways, including a range of business environment factors that impede greater foreign flows. Although much of the ideological resistance has faded, a number of specific challenges to the purported benefits of FDI have been successful in preventing more active liberalization and in moving to deal with indirect barriers. New data from firm surveys in Kenya, Tanzania, and Uganda suggest that there are important positive effects from FDI for both the host economies and the workers in foreign-owned firms. Based on our three-country sample, foreign firms are more productive, bring management skills, invest more heavily in infrastructure and in the training and health of their workers, and are more connected to global markets. At the same time, foreign firms do not appear to succeed by grabbing market share and crowding out local industry. These results suggest that many of the common objections to foreign investment are exaggerated or false. Africa, by not attracting more FDI, is therefore failing to fully benefit from the potential of foreign capital to contribute to economic development and integration with the global economy. Length: 30 pagesAfrica, foreign capital, Kenya, Tanzania, Uganda, foreign direct investment,

Attracting Foreign Direct Investment in Pakistan: The Role of Governance, National Security and Global Investment Trends

Private sector investment has become one of the most essential sources of international capital flows to developing countries. Foreign Direct Investment (FDI) as one type of private sector investment has the potential to drive economic growth and development. Understanding the factors that motivate or deter foreign investors from investing in a developing country therefore is crucial. This thesis examines the particular case of Pakistan and analyzes internal and external factors that have affected the inclines and declines in inflows of FDI to the country between 2000 and 2014. By performing a comparative sectoral analysis, this thesis examines the effects of government efficacy, national security, and global levels of FDI inflows on FDI inflows on three distinct sectors in Pakistan: Energy, Telecommunications, and Financial Services. The thesis argues that a rapidly deteriorating domestic situation post-2008 due to weakened governance and limited security provision within the country has increased the perceived levels of risk and uncertainty associated with investing in Pakistan. This has resulted in a sharp decline in FDI inflows to the country

Is energy market integration a green light for FDI?

This paper contributes to a better understanding of the effects of the European single market strategy by studying the effect of energy market integration (EMI) on foreign direct investment (FDI). Enforcing an EMI diminishes energy uncertainty and price volatility and signals stronger and credible institutions. FDI may, as a result, increase both within and outside the EMI area through two channels: first, via energy price converge and, second, via price dispersion reduction. We develop a formal model to explain how these mechanisms affect the capital invested abroad by heterogeneous firms. The Iberian Electricity Market (MIBEL) integration of 2007 is used to quantify the effect of EMI on FDI empirically. Gravity estimates on a global dataset including bilateral FDI data show that the integration of Portugal and Spain's electricity market increased both the amount of FDI's participants and the number of foreign projects. In line with our theoretical expectations, our estimates show that the increase of FDI is mainly due to the reduction in price dispersion. However, the institutional credibility signal sent by MIBEL had a greater influence than expected by the actual price reduction. Furthermore, we also observe a positive increase in FDI from neighboring countries (in this instance, France), albeit lower in magnitude