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001 978-1-4614-7597-2
003 DE-He213
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007 cr nn 008mamaa
008 130615s2014 xxu| s |||| 0|eng d
020 _a9781461475972
_9978-1-4614-7597-2
024 7 _a10.1007/978-1-4614-7597-2
_2doi
050 4 _aQA76.9.A25
072 7 _aUR
_2bicssc
072 7 _aUTN
_2bicssc
072 7 _aCOM053000
_2bisacsh
082 0 4 _a005.8
_223
245 1 0 _aNetwork Science and Cybersecurity
_h[electronic resource] /
_cedited by Robinson E. Pino.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2014.
300 _aX, 285 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvances in Information Security,
_x1568-2633 ;
_v55
505 0 _aTowards Fundamental Science of Cyber Security -- Bridging the Semantic Gap: Human Factors in Anomaly-based Intrusion Detection Systems -- Recognizing Unexplained Behavior in Network Traffic -- Applying Cognitive Memory to CyberSecurity -- Understanding Cyber Warfare -- Design of Neuromorphic Architectures with Memristors -- Nanoelectronics and Hardware Security -- User Classification and Authentication for MOBILE Device Based on Gesture Recognition -- Hardware-based Computational Intelligence for Size, Weight, and Power Con-strained Environments -- Machine Learning Applied to Cyber Operations -- Detecting Kernel Control-flow Modifying Rootkits -- Formation of Artificial and Natural Intelligence in Big Data Environment -- Alert Data Aggregation and Transmission Prioritization over Mobile Networks -- Semantic Features from Web-traffic Streams -- Concurrent Learning Algorithm (CLA) and the Importance Map (IMAP) -- Hardware Accelerated Mining of Domain Knowledge -- Memristors and the Future of Cyber Security Hardware.
520 _aNetwork Science and Cybersecurity introduces new research and development efforts for cybersecurity solutions and applications taking place within various U.S. Government Departments of  Defense, industry and academic laboratories. This book examines new algorithms and tools, technology platforms and reconfigurable technologies for cybersecurity systems. Anomaly-based intrusion detection systems (IDS) are explored as a key component of any general network intrusion detection service, complementing signature-based IDS components by attempting to identify novel attacks.  These attacks  may not yet be known or have well-developed signatures.  Methods are also suggested to simplify the construction of metrics in such a manner that they retain their ability to effectively cluster data, while simultaneously easing human interpretation of outliers. This is a professional book for practitioners or government employees working in cybersecurity, and can also be used as a reference.  Advanced-level students in computer science or electrical engineering studying security will also find this book useful . .
650 0 _aComputer science.
650 0 _aComputer communication systems.
650 0 _aComputer security.
650 0 _aData structures (Computer science).
650 0 _aData encryption (Computer science).
650 0 _aElectrical engineering.
650 1 4 _aComputer Science.
650 2 4 _aSystems and Data Security.
650 2 4 _aComputer Communication Networks.
650 2 4 _aData Encryption.
650 2 4 _aData Structures, Cryptology and Information Theory.
650 2 4 _aCommunications Engineering, Networks.
700 1 _aPino, Robinson E.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461475965
830 0 _aAdvances in Information Security,
_x1568-2633 ;
_v55
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-7597-2
912 _aZDB-2-SCS
942 _cEBK
999 _c52093
_d52093