The Experts below are selected from a list of 248958 Experts worldwide ranked by ideXlab platform
Ralf Schaarschmidt - One of the best experts on this subject based on the ideXlab platform.
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on the relevance of security risks for cloud adoption in the Financial Industry
Americas Conference on Information Systems, 2013Co-Authors: Ulrich Lampe, Olga Wenge, Alexander Muller, Ralf SchaarschmidtAbstract:For Financial institutions as “heavy users” of Information Technology (IT), the promises of cloud computing – most notably, increased flexibility and reduced provisioning cost – are tempting. However, moving data and applications from a confined internal IT infrastructure to an external, shared cloud poses multiple new security issues. This paper provides an assessment of the relevance of selected issues, based on interviews with 12 representatives of Financial institutions. Our results indicate that despite technical advancement and legal arrangements, certain security issues are likely to remain important inhibitors for the adoption of cloud computing by Financial institutions.
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cloud computing in the Financial Industry a road paved with security pitfalls
Americas Conference on Information Systems, 2012Co-Authors: Ulrich Lampe, Olga Wenge, Alexander Muller, Ralf SchaarschmidtAbstract:In the Financial Industry, Information Technology (IT) is an essential production factor, but also a major expense post. Because cloud computing promises to deliver IT services more flexibly and cost-efficiently, it potentially constitutes a “perfect match” for the Financial sector. However, given the high degree of regulation, concerns regarding security and compliance requirements arise. In this work, we provide a detailed theoretical analysis of potential security problems in the context of cloud computing. This analysis is complemented by the initial results of an ongoing case study concerning the practical relevance of these problems in the Financial Industry. The analysis confirms that security issues pose notable obstacles for the adoption of cloud computing in practice, but also points to appropriate countermeasures.
Ariell Reshef - One of the best experts on this subject based on the ideXlab platform.
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wages and human capital in the u s Financial Industry 1909 2006
Quarterly Journal of Economics, 2012Co-Authors: Thomas Philippon, Ariell ReshefAbstract:We study the allocation and compensation of human capital in the U.S. finance Industry over the past century. Across time, space, and subsectors, we find that Financial deregulation is associated with skill intensity, job complexity, and high wages for finance employees. All three measures are high before 1935 and after 1980, but not in the interim period. Workers in the finance Industry earn the same education-adjusted wages as other workers until 1990 and significantly more afterward. By 2006 the premium is 40% on average, and 200% for top earners and CEOs. Earnings risk and firm size effects account for some of the premium, but the majority does not appear to be sustainable.
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wages and human capital in the u s Financial Industry 1909 2006
National Bureau of Economic Research, 2009Co-Authors: Thomas Philippon, Ariell ReshefAbstract:We use detailed information about wages, education and occupations to shed light on the evolution of the U.S. Financial sector over the past century. We uncover a set of new, interrelated stylized facts: Financial jobs were relatively skill intensive, complex, and highly paid until the 1930s and after the 1980s, but not in the interim period. We investigate the determinants of this evolution and find that Financial deregulation and corporate activities linked to IPOs and credit risk increase the demand for skills in Financial jobs. Computers and information technology play a more limited role. Our analysis also shows that wages in finance were excessively high around 1930 and from the mid 1990s until 2006. For the recent period we estimate that rents accounted for 30% to 50% of the wage differential between the Financial sector and the rest of the private sector.
Ulrich Lampe - One of the best experts on this subject based on the ideXlab platform.
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on the relevance of security risks for cloud adoption in the Financial Industry
Americas Conference on Information Systems, 2013Co-Authors: Ulrich Lampe, Olga Wenge, Alexander Muller, Ralf SchaarschmidtAbstract:For Financial institutions as “heavy users” of Information Technology (IT), the promises of cloud computing – most notably, increased flexibility and reduced provisioning cost – are tempting. However, moving data and applications from a confined internal IT infrastructure to an external, shared cloud poses multiple new security issues. This paper provides an assessment of the relevance of selected issues, based on interviews with 12 representatives of Financial institutions. Our results indicate that despite technical advancement and legal arrangements, certain security issues are likely to remain important inhibitors for the adoption of cloud computing by Financial institutions.
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cloud computing in the Financial Industry a road paved with security pitfalls
Americas Conference on Information Systems, 2012Co-Authors: Ulrich Lampe, Olga Wenge, Alexander Muller, Ralf SchaarschmidtAbstract:In the Financial Industry, Information Technology (IT) is an essential production factor, but also a major expense post. Because cloud computing promises to deliver IT services more flexibly and cost-efficiently, it potentially constitutes a “perfect match” for the Financial sector. However, given the high degree of regulation, concerns regarding security and compliance requirements arise. In this work, we provide a detailed theoretical analysis of potential security problems in the context of cloud computing. This analysis is complemented by the initial results of an ongoing case study concerning the practical relevance of these problems in the Financial Industry. The analysis confirms that security issues pose notable obstacles for the adoption of cloud computing in practice, but also points to appropriate countermeasures.
Lisa Kastner - One of the best experts on this subject based on the ideXlab platform.
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business lobbying under salience Financial Industry mobilization against the european Financial transaction tax
Journal of European Public Policy, 2018Co-Authors: Lisa KastnerAbstract:This article examines interest group conflicts surrounding the Financial transaction tax (FTT) debate in the European Union (EU). Specifically, it focuses on the advocacy efforts of EU-based financi...
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business lobbying under salience Financial Industry mobilization against the european Financial transaction tax
Sciences Po publications, 2017Co-Authors: Lisa KastnerAbstract:This article examines interest group conflicts surrounding the Financial transaction tax (FTT) debate in the European Union (EU). Specifically, it focuses on the advocacy efforts of EU-based financial Industry groups at different stages of the policy debate. The article provides a detailed description of changes to the post-crisis regulatory environment and points to public salience as important factor that can constrain business power. Much in line with the existing literature, Industry groups did not fare very well under conditions of high salience and public pressure during the agenda-setting stage. However, this article also shows that in order to get back on its feet, the Financial sector lobby had to employ a combination of quiet and noisy politics during later stages of the policy process. As soon as the contextual conditions provided by the Financial crisis started to fade away, Industry groups were able to bounce back by using a framing strategy that linked their arguments against an FTT to broader societal goals, by disseminating scientific evidence and by building coalitions with business groups outside of finance in order to water-down the proposed directive.
Hui Zhao - One of the best experts on this subject based on the ideXlab platform.
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privacy preserving smart data storage for Financial Industry in cloud computing
Concurrency and Computation: Practice and Experience, 2018Co-Authors: Hui ZhaoAbstract:Summary The recent booming development of cloud computing has enabled a dramatical revolution for current enterprises to create values. Numerous benefits of utilizing cloud services are enhancing the efficiency of improving or creating new businesses. This trend is also associated with the rapid growth of the wireless networks, such as 5G. However, the great increase of deploying clouds also leads to new concerns in data security. One of the major concerns is private leakage that derives from insiders' malicious operations or attacks. This problem has raised a great restriction for Financial firms to execute cloud applications. Focusing on this issue, we propose a new solution, entitled Privacy-Preserving Smart Storage (PS2) model that targets at solving the privacy leakage problems within the existing threat models. The proposed approach uses a novel distributed data storage method to prevent Financial enterprises from insiders' massive data mining-based attacks.
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Proactive user-centric secure data scheme using attribute-based semantic access controls for mobile clouds in Financial Industry
Future Generation Computer Systems, 2018Co-Authors: Meikang Qiu, Keke Gai, Bhavani Thuraisingham, Lixin Tao, Hui ZhaoAbstract:Abstract As one of the most significant issues in the Financial Industry, customers’ privacy information protection has been considered a challenging research over years. The constant emergence of the novel technologies often leads to dynamic threats from both internal and external service providers. We consider the implementations of mobile cloud-based Financial services an important approach of service provisions, which also causes risks to privacy protections due to the data sharing with the unknown third parties. The data generated by mobility are usually associated with mobile users’ personal privacy information. This paper addresses this issue and proposes an approach proactively protect Financial customers’ privacy information using Attributed-Based Access Control (ABAC) as well as data self-deterministic scheme. The proposed approach is called Proactive Dynamic Secure Data Scheme (P2DS), which aims to guarantee the unanticipated parties cannot reach the privacy data. There are two main algorithms supporting the proposed scheme, which are Attribute-based Semantic Access Control (A-SAC) Algorithm and Proactive Determinative Access (PDA) Algorithm . The main contributions of this paper have three aspects. First, we propose a semantic approach for constraining data accesses. Second, we propose a user-centric approach that proactively prevents users’ data from unexpected operations on the cloud side. Finally, the proposed scheme has a higher-level secure sustainability since it can deal with dynamic threats, including the emerging and future hazards. We have examined that our proposed scheme had a quality performance matching our expected goal.
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security and privacy issues a survey on fintech
International Conference on Smart Computing and Communication, 2016Co-Authors: Hui ZhaoAbstract:As a new term in the Financial Industry, FinTech has become a popular term that describes novel technologies adopted by the Financial service institutions. This term also covers aspects in security and privacy issues, such as threats, malicious behaviors, attacks, and adversaries, as well as the existing or potential solutions. This work aims to produce a survey of FinTech by collecting and reviewing contemporary achievements in security and privacy issues of the Financial Industry. The findings of this work can be used for forming the theoretical framework of FinTech in the security and privacy dimension, which will a fundamental support for establishing a solid security mechanism in FinTech.
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Efficiency-Aware Workload Optimizations of Heterogeneous Cloud Computing for Capacity Planning in Financial Industry
2015 IEEE 2nd International Conference on Cyber Security and Cloud Computing, 2015Co-Authors: Keke Gai, Meikang Qiu, Hui ZhaoAbstract:The broad implementation of cloud computing has brought a dramatic change to multiple industries, which derives from the development of the Internet-related technologies. This trend has enabled global enterprises to apply distributed computing techniques to reach many benefits. An effective risk management approach is required for service deliveries and a capacity planning is considered one of the convincing methods for Financial Industry. However, executing a capacity planning is still encountering a great challenge from bottlenecks of the Web server capacities. The unstable service demands often result in service delays, which embarrasses the competitivenesses of the enterprises. This paper addresses this issue and proposes an approach, named Efficiency-aware Cloud-based Workload Optimization (ECWO) Model, using greedy programming to predict server workloads of heterogeneous cloud computing in Financial Industry. The main algorithms used in the proposed model are Task Mapping Algorithm (TMA) and Efficiency-Aware Task Assignment (EATA) Algorithm. Our experimental evaluations have examined the performance of the proposed scheme.