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Ju ̈ rgen G. Backhaus 1 Johann Heinrich Gottlob (von) Justi was born in 1702 in Bru ̈ cken in Prussia (county of Sangerhausen), studied law and cameral sciences in Wittenberg and Jena, yet had to leave the university, entered the Prussian military service, was captured during the Austrian war of succession by the Austrians but escaped to Leipzig (Saxony) where he studied mineral sciences. In 1750 he was called to a chair ‘‘Cameral Sciences and Rhetorics’’ at the new Theresian Academy of Knights in Vienna. There, he gave two important inaugural lectures which are the focal point of this book. In 1754, Justi was appointed a mineral counsellor in Gottingen ̈ (Hanover), and lectured a...
This book is open access under a CC BY 4.0 license. This book constitutes the refereed proceedings of the 11th IFIP WG 6.6 International Conference on Autonomous Infrastructure, Management, and Security, AIMS 2017, held in Zurich, Switzerland, in July 2017. The 8 full papers presented together with 11 short papers were carefully reviewed and selected from 24 submissions. The papers are organized in the following topical sections: security management; management of cloud environments and services, evaluation and experimental study of rich network services; security, intrusion detection, and configuration; autonomic and self-management solutions; and methods for the protection of infrastructure.
This book constitutes the revised selected papers of the 8th International Workshop on Data Privacy Management, DPM 2013, and the 6th International Workshop on Autonomous and Spontaneous Security, SETOP 2013, held in Egham, UK, in September 2013 and co-located with the 18th European Symposium on Research in Computer Security (ESORICS 2013). The volume contains 13 full papers selected out of 46 submissions and 1 keynote lecturer from the DPM workshop and 6 full papers together with 5 short papers selected among numerous submissions to the SETOP workshop. The papers cover topics related to the management of privacy-sensitive information and automated configuration of security, focusing in particular on system-level privacy policies, administration of sensitive identifiers, data integration and privacy, engineering authentication and authorization, mobile security and vulnerabilities.
Biological Pigments—Advances in Research and Application: 2013 Edition is a ScholarlyEditions™ book that delivers timely, authoritative, and comprehensive information about Retinal Pigments. The editors have built Biological Pigments—Advances in Research and Application: 2013 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Retinal Pigments in this book to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Biological Pigments—Advances in Research and Application: 2013 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.
This book constitutes the refereed proceedings of the 6th IFIP WG 6.6 International Conference on Autonomous Infrastructure, Management, and Security, AIMS 2012, held in Luxembourg in June 2012. The 10 full papers presented were carefully reviewed and selected from 23 submissions. They cover autonomic and distributed management, network security, network monitoring, and special environments and Internet of Things. In addition, this book contains 9 workshop papers which were selected from 18 submissions. They deal with high-speed networks and network management, intrusion detection, and network monitoring and security.
AI AND MACHINE LEARNING FOR NETWORK AND SECURITY MANAGEMENT Extensive Resource for Understanding Key Tasks of Network and Security Management AI and Machine Learning for Network and Security Management covers a range of key topics of network automation for network and security management, including resource allocation and scheduling, network planning and routing, encrypted traffic classification, anomaly detection, and security operations. In addition, the authors introduce their large-scale intelligent network management and operation system and elaborate on how the aforementioned areas can be integrated into this system, plus how the network service can benefit. Sample ideas covered in thi...
The era of rapidly progressing technology we live in generates vast amounts of data; however, the challenge exists in understanding how to aggressively monitor and make sense of this data. Without a better understanding of how to collect and manage such large data sets, it becomes increasingly difficult to successfully utilize them. Managing Big Data Integration in the Public Sector is a pivotal reference source for the latest scholarly research on the application of big data analytics in government contexts and identifies various strategies in which big data platforms can generate improvements within that sector. Highlighting issues surrounding data management, current models, and real-world applications, this book is ideally designed for professionals, government agencies, researchers, and non-profit organizations interested in the benefits of big data analytics applied in the public sphere.
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This book constitutes the refereed proceedings of the 5th International Conference on Autonomous Infrastructure, Management and Security, AIMS 2011, held in Nancy, France, in June 2011. The 11 revised full papers presented together 11 papers of the AIMS PhD workshops were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on security management, autonomic network and service management (PhD workshop), policy management, P2P and aggregation schemes, and monitoring and security (PhD workshop).