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This book demonstrates the implementation of an automated measuring system for very efficient measurement of chromatic dispersion, which uses a modulation phase shift method over long haul of optical single mode fiber. The authors show how a new scheme for measuring chromatic dispersion is adopted in conjunction with a tunable laser (TLS), providing the optical power at required wavelength and digital oscilloscope (DOSC) for measuring the phase difference between microwave signals from transmitter and microwave signals at the receiver. This is a novel approach for real-time chromatic dispersion in optical systems such as optical fibers. The setup used is very simple, accurate and cost effective, compared to other methods such as direct measurement, differential mode delay, polarization mode dispersion measurement and phase delay method. Describes algorithms for characterization and controlling optical apparatus; Introduces a new automated characterization system for electro-optic modulators with application of driving microwaves; Describes a new algorithm for automated dispersion measurement for different length of fibers; Provides system analysis to show the effects of critical parameters, such as dimensions on dispersion.

Electronics --- Electrical engineering --- Applied physical engineering --- Computer. Automation --- beeldverwerking --- optische vezels --- spraaktechnologie --- elektronica --- ingenieurswetenschappen --- elektrische circuits --- signaalverwerking

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The title explain new technique of secured and high capacity optical communication signals generation by using the micro and nano ring resonators. The pulses are known as soliton pulses which are more secured due to having the properties of chaotic and dark soliton signals with ultra short bandwidth. They have high capacity due to the fact that ring resonators are able to generate pulses in the form of solitons in multiples and train form. These pulses generated by ring resonators are suitable in optical communication due to use the compact and integrated rings system, easy to control, flexibility, less loss, application in long distance communication and many other advantages. Using these pulses overcome the problems such as losses during the propagation, long distances, error detection, using many repeaters or amplifiers, undetectable received signals, pulse broadening, overlapping and so on. This book show how to generate soliton pulses using ring resonators in the micro and nano range which can be used in optical communication to improve the transmission technique and quality of received signals in networks such as WiFi and wireless communication.

Mathematics --- Fluid mechanics --- Optics. Quantum optics --- Spectrometric and optical chemical analysis --- Electronics --- Electrical engineering --- Applied physical engineering --- Engineering sciences. Technology --- Production management --- Mass communications --- Computer. Automation --- ICT (informatie- en communicatietechnieken) --- toegepaste wiskunde --- photonics --- lasers (technologie) --- veiligheid (mensen) --- economie --- telecommunicatie --- wiskunde --- ingenieurswetenschappen --- elektrotechniek --- communicatietechnologie --- spectrometrie --- optica

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This book provides detailed and accurate information on the history, structure, operation, benefits and advanced structures of silicon MESFET, along with modeling and analysis of the device. The authors explain the detailed physics that are important in modeling of SOI-MESFETs, and present the derivations of compact model expressions so that users can recognize the physical meaning of the model equations and parameters. The discussion also includes advanced structures for SOI-MESFET for submicron applications. Describes the evolution of MESFET in the semiconductor industry; Discusses challenges and solutions associated with downscaling; Provides comprehensive information on the structure and operation of silicon MESFETs.

Electronics --- Electrical engineering --- Applied physical engineering --- elektronica --- ingenieurswetenschappen --- elektrische circuits

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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 victim's 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.

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Phishing is one of the most widely-perpetrated forms of cyber attack, used to gather sensitive information such as credit card numbers, bank account numbers, and user logins and passwords, as well as other information entered via a web site. The authors of A Machine-Learning Approach to Phishing Detetion and Defense have conducted research to demonstrate how a machine learning algorithm can be used as an effective and efficient tool in detecting phishing websites and designating them as information security threats. This methodology can prove useful to a wide variety of businesses and organizations who are seeking solutions to this long-standing threat. A Machine-Learning Approach to Phishing Detetion and Defense also provides information security researchers with a starting point for leveraging the machine algorithm approach as a solution to other information security threats.