| 000 | 02911nam a22004575i 4500 | ||
|---|---|---|---|
| 001 | 978-3-642-18299-0 | ||
| 003 | DE-He213 | ||
| 005 | 20140220083753.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 110128s2011 gw | s |||| 0|eng d | ||
| 020 |
_a9783642182990 _9978-3-642-18299-0 |
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| 024 | 7 |
_a10.1007/978-3-642-18299-0 _2doi |
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| 050 | 4 | _aQ342 | |
| 072 | 7 |
_aUYQ _2bicssc |
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| 072 | 7 |
_aCOM004000 _2bisacsh |
|
| 082 | 0 | 4 |
_a006.3 _223 |
| 100 | 1 |
_aHerrero, Álvaro. _eauthor. |
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| 245 | 1 | 0 |
_aMobile Hybrid Intrusion Detection _h[electronic resource] : _bThe MOVICAB-IDS System / _cby Álvaro Herrero, Emilio Corchado. |
| 264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2011. |
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| 300 |
_aX, 146p. 33 illus., 29 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aStudies in Computational Intelligence, _x1860-949X ; _v334 |
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| 505 | 0 | _aIntroduction -- Visualisation, Artificial Intelligence, and Security -- Previous Work on NID -- A Novel Hybrid IDS -- Experiments & Results -- Testing & Validation -- Discussion & Conclusions. | |
| 520 | _aThis monograph comprises work on network-based Intrusion Detection (ID) that is grounded in visualisation and hybrid Artificial Intelligence (AI). It has led to the design of MOVICAB-IDS (MObile VIsualisation Connectionist Agent-Based IDS), a novel Intrusion Detection System (IDS), which is comprehensively described in this book. This novel IDS combines different AI paradigms to visualise network traffic for ID at packet level. It is based on a dynamic Multiagent System (MAS), which integrates an unsupervised neural projection model and the Case-Based Reasoning (CBR) paradigm through the use of deliberative agents that are capable of learning and evolving with the environment. The proposed novel hybrid IDS provides security personnel with a synthetic, intuitive snapshot of network traffic and protocol interactions. This visualisation interface supports the straightforward detection of anomalous situations and their subsequent identification. The performance of MOVICAB-IDS was tested through a novel mutation-based testing method in different real domains which entailed several attacks and anomalous situations. | ||
| 650 | 0 | _aEngineering. | |
| 650 | 0 | _aArtificial intelligence. | |
| 650 | 1 | 4 | _aEngineering. |
| 650 | 2 | 4 | _aComputational Intelligence. |
| 650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
| 700 | 1 |
_aCorchado, Emilio. _eauthor. |
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| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783642182983 |
| 830 | 0 |
_aStudies in Computational Intelligence, _x1860-949X ; _v334 |
|
| 856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-18299-0 |
| 912 | _aZDB-2-ENG | ||
| 999 |
_c107403 _d107403 |
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