An improved negative selection algorithm based on the hybridization of cuckoo search and differential evolution for anomaly detection

The biological immune system (BIS) is characterized by networks of cells, tissues, and organs communicating and working in synchronization. It also has the ability to learn, recognize, and remember, thus providing the solid foundation for the development of Artificial Immune System (AIS). Since the emergence of AIS, it has proved itself as an area of computational intelligence. Real-Valued Negative Selection Algorithm with Variable-Sized Detectors (V-Detectors) is an offspring of AIS and demonstrated its potentials in the field of anomaly detection. The V-Detectors algorithm depends greatly on the random detectors generated in monitoring the status of a system. These randomly generated detectors suffer from not been able to adequately cover the non-self space, which diminishes the detection performance of the V-Detectors algorithm. This research therefore proposed CSDE-V-Detectors which entail the use of the hybridization of Cuckoo Search (CS) and Differential Evolution (DE) in optimizing the random detectors of the V-Detectors. The DE is integrated with CS at the population initialization by distributing the population linearly. This linear distribution gives the population a unique, stable, and progressive distribution process. Thus, each individual detector is characteristically different from the other detectors. CSDE capabilities of global search, and use of L´evy flight facilitates the effectiveness of the detector set in the search space. In comparison with V-Detectors, cuckoo search, differential evolution, support vector machine, artificial neural network, na¨ıve bayes, and k-NN, experimental results demonstrates that CSDE-V-Detectors outperforms other algorithms with an average detection rate of 95:30% on all the datasets. This signifies that CSDE-V-Detectors can efficiently attain highest detection rates and lowest false alarm rates for anomaly detection. Thus, the optimization of the randomly detectors of V-Detectors algorithm with CSDE is proficient and suitable for anomaly detection tasks

Financial development, economic growth and corporate governance : paper presented at the First Annual Seminar on New Development Finance held at the Goethe University of Frankfurt, September 22 - October 3, 1997

During the last years the relationship between financial development and economic growth has received widespread attention in the literature on growth and development. This paper summarises in its first part the results of this research, stressing the growth-enhancing effects of an increased interpersonal re-allocation of resources promoted by financial development. The second part of the paper seeks to identify the determinants of financial development based on Diamond's theory of financial intermediation as delegated monitoring. The analysis shows that the quality of corporate governance of banks is the key factor in financial system development. Accordingly, financial sector reforms in developing countries will only succeed if they strengthen the corporate governance of financial institutions. In this area, financial institution building has an important contribution to make. Paper presented at the First Annual Seminar on New Development Finance held at the Goethe University of Frankfurt, September 22 - October 3, 199

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Bitcoin (and other virtual currencies) have the potential to revolutionize the way that payments are processed, but only if they become ubiquitous. This Article argues that if virtual currencies are used at that scale, it would pose threats to the stability of the financial system—threats that have been largely unexplored to date. Such threats will arise because the ability of a virtual currency to function as money is very fragile—Bitcoin can remain money only for so long as people have confidence that bitcoins will be readily accepted by others as a means of payment. Unlike the U.S. dollar, which is backed by both a national government and a central bank, and the euro, which is at least backed by a central bank, there is no institution that can shore up confidence in Bitcoin (or any other virtual currency) in the event of a panic. This Article explores some regulatory measures that could help address the systemic risks posed by virtual currencies, but argues that the best way to contain those risks is for regulated institutions to out-compete virtual currencies by offering better payment services, thus consigning virtual currencies to a niche role in the economy. This Article therefore concludes by exploring how the distributed ledger technology pioneered by Bitcoin could be adapted to allow regulated entities to provide vastly more efficient payment services for sovereign currency-denominated transactions, while at the same time seeking to avoid concentrating the provision of those payment services within “too big to fail” banks

The Impact Of Technology Trust On The Acceptance Of Mobile Banking Technology Within Nigeria

With advancement in the use of information technology seen as a key factor in economic development, developed countries are increasingly reviewing traditional systems, in various sectors such as education, health, transport and finance, and identifying how they may be improved or replaced with automated systems. In this study, the authors examine the role of technology trust in the acceptance of mobile banking in Nigeria as the country attempts to transition into a cashless economy. For Nigeria, like many other countries, its economic growth is linked, at least in part, to its improvement in information technology infrastructure, as well as establishing secure, convenient and reliable payments systems. Utilising the Technology Acceptance Model, this study investigates causal relationships between technology trust and other factors influencing user’s intention to adopt technology; focusing on the impact of seven factors contributing to technology trust. Data from 1725 respondents was analysed using confirmatory factor analysis and the results showed that confidentiality, integrity, authentication, access control, best business practices and non-repudiation significantly influenced technology trust. Technology trust showed a direct significant influence on perceived ease of use and usefulness, a direct influence on intention to use as well as an indirect influence on intention to use through its impact on perceived usefulness and perceived ease of use. Furthermore, perceived ease of use and perceived usefulness showed significant influence on consumer’s intention to adopt the technology. With mobile banking being a key driver of Nigeria’s cashless economy goals, this study provides quantitative knowledge regarding technology trust and adoption behaviour in Nigeria as well as significant insight on areas where policy makers and mobile banking vendors can focus strategies engineered to improve trust in mobile banking and increase user adoption of their technology

Corporate Governance, Opaque Bank Activities, and Risk/Return Efficiency: Pre- and Post-Crisis Evidence from Turkey

Does better corporate governance unambiguously improve the risk/return efficiency of banks? Or does either a re-orientation of banks' revenue mix towards more opaque products, an economic downturn, or tighter supervision create off-setting or reinforcing effects? The authors relate bank efficiency to shortfalls from a stochastic risk/return frontier. They analyze how internal governance mechanisms (CEO duality, board experience, political connections, and education profile) and external governance mechanisms (discipline exerted by shareholders, depositors, or skilled employees) determine efficiency in a sample of Turkish banks. The 2000 financial crisis was a wakeup call for bank efficiency and corporate governance. As a result, better corporate governance mechanisms have been able to improve risk/return efficiency when the economic, regulatory, and supervisory environments are more stable and bank products are more complex.corporate governance;bank risk;noninterest income;crisis;frontier