saini hemant kumar (25 Ergebnisse)

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Document from the year 2014 in the subject Computer Science - IT-Security, grade: 1, -, language: English, abstract: Today in the growing era of communication everyone wants to update with the new functionality so that they would survive with the best. Since the only way to access Internet is the browser, so it is vital to configure them securely. With the growing demands to ease the work in one click many engine tools, supportive plug-ins have been developed for web-browser. And the users also without knowing its causes quickly installed such extensible plug-ins in their browsers which gives the chances to intruders to get control their computer without their knowledge. Such plug-ins becomes victim for the vulnerabilities of the computer which are due to the manufacturer coding fault.

Taschenbuch. Zustand: Neu. Neuware -Today with the tremendous series of undocumented or poorly documented protocols how an incident responder on the network can can present the packet by capturing a binary executable file. The contents of such files can be parsed by conventional static and dynamic techniques. In many situations one can¿t detect even the binary file for analysis. So a new process of Protocol Reverse Engineering (PRE) leveraging multiple sources of information to accelerate incident response detection. It is a pseudo-formal survey of the tools, techniques, and methodologies that I've experienced or observed to be effective that is deliberately proscriptive, rather than prescriptive. It is not an exhaustive study, and only designed to cover common needs of analysts - particularly engaged in incident response.Books on Demand GmbH, Überseering 33, 22297 Hamburg 52 pp. Englisch.

Taschenbuch. Zustand: Neu. Detecting Veracity | A New door to keep Safe from fake Posts | Hemant Kumar Saini (u. a.) | Taschenbuch | 16 S. | Englisch | 2014 | GRIN Verlag | EAN 9783656851936 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Zustand: Neu. Backdoor Add-ons. A new way to harbor the data | Hemant Kumar Saini | Taschenbuch | Booklet | 16 S. | Englisch | 2014 | GRIN Verlag | EAN 9783656829249 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Document from the year 2014 in the subject Computer Science - IT-Security, grade: 1, -, language: English, abstract: Today in the growing era of communication everyone wants to update with the new functionality so that they would survive with the best. Since the only way to access Internet is the browser, so it is vital to configure them securely. With the growing demands to ease the work in one click many engine tools, supportive plug-ins have been developed for web-browser. And the users also without knowing its causes quickly installed such extensible plug-ins in their browsers which gives the chances to intruders to get control their computer without their knowledge. Such plug-ins becomes victim for the vulnerabilities of the computer which are due to the manufacturer coding fault. 16 pp. Englisch.

Paperback. Zustand: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock.

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Zustand: New. pp. 310.

Hardback. Zustand: New. New copy - Usually dispatched within 4 working days. 750.

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Buch. Zustand: Neu. Neuware - This book begins by introducing bio-inspired data-driven computation techniques, discussing bio-inspired swarm models, and highlighting the development of interactive bio-inspired energy harvesting systems to drive transportation infrastructure.

Zustand: New.

Zustand: New. pp. 310 1st Edition NO-PA16APR2015-KAP.

Zustand: New. pp. 310.

Hardcover. Zustand: new. Hardcover. This book begins by introducing bio-inspired data-driven computation techniques, discussing bio-inspired swarm models, and highlighting the development of interactive bio-inspired energy harvesting systems to drive transportation infrastructure. It further covers important topics such as efficient control systems for distributed and hybrid renewable energy sources, and smart energy management systems for developing intelligent systems. This book:Presents data-driven intelligent heuristics for improving and advancing environmental sustainability in both eco-cities and smart cities. Discusses various efficient control systems for distributed and hybrid renewable energy sources and enhance the scope of smart energy management systems for developing even intelligent systems. Showcases how distributed energy systems improve the data-driven robots in the Internet of Medical Things. Highlights practical approaches to optimize power generation, reduce costs through efficient energy, and reduce greenhouse gas emissions to the possible minimum. Covers bio-inspired swarm models, smart data-driven sensing to combat environmental issues, and futuristic data-driven enabled schemes in blockchain-fog-cloud assisted medical eny ecosystem.The text is primarily written for graduate students, and academic researchers in diverse fiergelds including electrical engineering, electronics and communications engineering, computer science and engineering, and environmental engineering. This book begins by introducing bio-inspired data-driven computation techniques, discussing bio-inspired swarm models, and highlighting the development of interactive bio-inspired energy harvesting systems to drive transportation infrastructure. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Zustand: Brand New. 336 pages. 9.18x6.12x9.21 inches. In Stock.

Hardcover. Zustand: new. Hardcover. This book begins by introducing bio-inspired data-driven computation techniques, discussing bio-inspired swarm models, and highlighting the development of interactive bio-inspired energy harvesting systems to drive transportation infrastructure. It further covers important topics such as efficient control systems for distributed and hybrid renewable energy sources, and smart energy management systems for developing intelligent systems. This book:Presents data-driven intelligent heuristics for improving and advancing environmental sustainability in both eco-cities and smart cities. Discusses various efficient control systems for distributed and hybrid renewable energy sources and enhance the scope of smart energy management systems for developing even intelligent systems. Showcases how distributed energy systems improve the data-driven robots in the Internet of Medical Things. Highlights practical approaches to optimize power generation, reduce costs through efficient energy, and reduce greenhouse gas emissions to the possible minimum. Covers bio-inspired swarm models, smart data-driven sensing to combat environmental issues, and futuristic data-driven enabled schemes in blockchain-fog-cloud assisted medical eny ecosystem.The text is primarily written for graduate students, and academic researchers in diverse fiergelds including electrical engineering, electronics and communications engineering, computer science and engineering, and environmental engineering. This book begins by introducing bio-inspired data-driven computation techniques, discussing bio-inspired swarm models, and highlighting the development of interactive bio-inspired energy harvesting systems to drive transportation infrastructure. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Zustand: new. Hardcover. This book begins by introducing bio-inspired data-driven computation techniques, discussing bio-inspired swarm models, and highlighting the development of interactive bio-inspired energy harvesting systems to drive transportation infrastructure. It further covers important topics such as efficient control systems for distributed and hybrid renewable energy sources, and smart energy management systems for developing intelligent systems. This book:Presents data-driven intelligent heuristics for improving and advancing environmental sustainability in both eco-cities and smart cities. Discusses various efficient control systems for distributed and hybrid renewable energy sources and enhance the scope of smart energy management systems for developing even intelligent systems. Showcases how distributed energy systems improve the data-driven robots in the Internet of Medical Things. Highlights practical approaches to optimize power generation, reduce costs through efficient energy, and reduce greenhouse gas emissions to the possible minimum. Covers bio-inspired swarm models, smart data-driven sensing to combat environmental issues, and futuristic data-driven enabled schemes in blockchain-fog-cloud assisted medical eny ecosystem.The text is primarily written for graduate students, and academic researchers in diverse fiergelds including electrical engineering, electronics and communications engineering, computer science and engineering, and environmental engineering. This book begins by introducing bio-inspired data-driven computation techniques, discussing bio-inspired swarm models, and highlighting the development of interactive bio-inspired energy harvesting systems to drive transportation infrastructure. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Saini Hemant KumarMr. Hemant Kumar Saini is a RHCE. He has completed M.Tech in Computer Science & Engineering from MITRC running under Rajasthan Technical University in 2014 and Mr. Satpal Singh Kushwaha is an Assistant Professor at .

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Today with the tremendous series of undocumented or poorly documented protocols how an incident responder on the network can can present the packet by capturing a binary executable file. The contents of such files can be parsed by conventional static and dynamic techniques. In many situations one can t detect even the binary file for analysis. So a new process of Protocol Reverse Engineering (PRE) leveraging multiple sources of information to accelerate incident response detection. It is a pseudo-formal survey of the tools, techniques, and methodologies that I've experienced or observed to be effective that is deliberately proscriptive, rather than prescriptive. It is not an exhaustive study, and only designed to cover common needs of analysts - particularly engaged in incident response. 52 pp. Englisch.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Today with the tremendous series of undocumented or poorly documented protocols how an incident responder on the network can can present the packet by capturing a binary executable file. The contents of such files can be parsed by conventional static and dynamic techniques. In many situations one can t detect even the binary file for analysis. So a new process of Protocol Reverse Engineering (PRE) leveraging multiple sources of information to accelerate incident response detection. It is a pseudo-formal survey of the tools, techniques, and methodologies that I've experienced or observed to be effective that is deliberately proscriptive, rather than prescriptive. It is not an exhaustive study, and only designed to cover common needs of analysts - particularly engaged in incident response.

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Abhishek Kumar is currently working as Associate Professor, Chandigarh University, India and is doing Post-Doctoral Fellow in Ingenium Research Group Ingenium Research Group Lab, Universidad De Castilla- La Mancha, Ciudad Real, and Ciudad Real Spain.He h.

Hardcover. Zustand: Brand New. 336 pages. 9.18x6.12x9.21 inches. In Stock. This item is printed on demand.