The 2008 financial crisis was a watershed moment which clearly influenced the publics perception of the role of finance in society. Since 2008, a plethora of books and newspaper articles have been produced accusing the academic community of being unable to produce valid models which can accommodate those extreme events. This unique Handbook brings together leading practitioners and academics in the areas of banking, mathematics, and law to present original research on the key issues affecting financial modelling since the 2008 financial crisis. As well as exploring themes of distributional assumptions and efficiency the Handbook also explores how financial modelling can possibly be re-interpreted in light of the 2008 crisis. Emmanuel Haven is a professor at the School of Management at the University of Leicester, UK, and previously held an academic post at Essex Business School, University of Essex. Emmanuel has published papers in a variety of journals including the Journal of Economic Dynamics and Control; the Journal of Mathematical Psychology; the European Journal of Operational Research; and the Journal of Mathematical Analysis and Applications. He is co-author of Quantum Social Science with Andrei Khrennikov (Cambridge University Press). Philip Molyneux is Dean of the College of Business, Law, Education and Social Sciences and Professor of Banking and Finance at Bangor University, UK. His main areas of research covers the structure and efficiency of banking markets and he has published widely in this area. Recent books include Introduction to Banking (2nd Edition, FT Prentice Hall, with B.Casu and C. Girardone) and the Oxford Handbook of Banking (2nd Edition, Oxford University Press, with Allen N Berger and John OS Wilson). John O.S. Wilson is Professor of Banking & Finance and Director for the Centre for Responsible Banking & Finance at the University of St Andrews. His research focuses on banking and credit unions. He is the author and co-author of numerous books and peer-reviewed journal articles. He co-edited the Oxford Handbook of Banking (with Allen Berger and Phil Molyneux). Sergei Fedotov is Professor of Applied Mathematics at the School of Mathematics, University of Manchester. He studied mathematics at Ural State University, Ekaterinburg, Russia, before completing a PhD in applied mathematics, also at USU. Fedotovs major research interests lie in the general area of random walk theory, mathematical finance and non-linear phenomena in statistical physics. He has held visiting professor positions at Stanford University, US, the University of New South Wales, Sydney, and the Autonomous University of Barcelona, Spain. Meryem Duygun is Professor of Banking and Finance at Hull University Business School. She joined Hull from the University of Leicester School of Management, where she remains a Visiting Professor. Meryem is also an Honorary Research Fellow at the Centre for Islamic Business and Finance Research at the University of Nottingham, Malaysia. Her major research fields are banking and corporate finance.
Denial of Service (DoS) attacks are a form of attack that seeks to make a network resource unavailable due to overloading the resource or machine with an overwhelming number of packets, thereby crashing or severely slowing the performance of the resource. Distributed Denial of Service (DDoS) is a large scale DoS attack which is distributed in the Internet. Every computer which has access to the Internet can behave as an attacker. Typically bandwidth depletion can be categorized as either a flood or an amplification attack. Flood attacks can be done by generating ICMP packets or UDP packets in which it can utilize stationary or random variable ports. Smurf and Fraggle attacks are used for amplification attacks. DDoS Smurf attacks are an example of an amplification attack where the attacker sends packets to a network amplifier with the return address spoofed to the victims IP address. This book presents new research and methodologies along with a proposed algorithm for prevention of DoS attacks that has been written based on cryptographic concepts such as birthday attacks to estimate the rate of attacks generated and passed along the routers. Consequently, attackers would be identified and prohibited from sending spam traffic to the server which can cause DDoS attacks. Due to the prevalence of DoS attacks, there has been a lot of research conducted on how to detect them and prevent them. The authors of this short format title provide their research results on providing an effective solution to DoS attacks, including introduction of the new algorithm that can be implemented in order to deny DoS attacks. A comprehensive study on the basics of network security Provides a wide revision on client puzzle theory An experimental model to mitigate distributed denial of service (DDoS) attacks I. S. Amiri received his B. Sc (Hons, Applied Physics) from Public University of Oroumiyeh, Iran and a gold medalist M. Sc. from Universiti Teknologi Malaysia (UTM). He was awarded a PhD degree in nanophotonics in 2013. He has published more than 200 journal articles and book-length works in Optical Soliton Communications, Nano photonics, Nonlinear Fiber Optics, Quantum Cryptography, Computer Communications, Nanotechnology, Information Security and Biotechnology Engineering.