LEADER 00984nam0-22003131i-450- 001 990007521320403321 005 20060314170152.0 035 $a000752132 035 $aFED01000752132 035 $a(Aleph)000752132FED01 035 $a000752132 100 $a20030814d1926----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $aa-------001yy 200 1 $a<>acquedotto della cittą di Trento$fMunicipio di Trento$grelazione tecnica T. Cristofolini$gstudio geologico G. B. Trener 210 $aTrento$cArti Grafiche Tridentum$d1926 215 $a42 p., 9 c. ripieg.$d35 cm 300 $aIn testa al front.: Municipio di Trento 702 1$aCristofolini,$bT. 702 1$aTrener,$bGiovanni Battista$f<1877-1954> 710 02$aTrento$07593 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990007521320403321 952 $aE-06-004$bIst. s.i.$fILFGE 959 $aILFGE 996 $aAcquedotto della cittą di Trento$9684280 997 $aUNINA LEADER 01123nam 2200325Ia 450 001 996397523103316 005 20200818211133.0 035 $a(CKB)4940000000055476 035 $a(EEBO)2240885545 035 $a(OCoLC)ocm11713445e 035 $a(OCoLC)11713445 035 $a(EXLCZ)994940000000055476 100 $a19850220d1650 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 13$aAn alarum to London, or, The famous London's blowing up by Londoners$b[electronic resource] $esounded, not to fire their buildings, but to quench their burnings : in a letter to Major Generall Browne 210 $aLondon $cPrinted by Matthew Simmons ...$d1650 215 $a[2], 18 p 300 $aAttributed to William Beech. Cf. 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Internet/Web, and HCI ;$v4219 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-39723-X 320 $aIncludes bibliographical references and index. 327 $aRecent Advances in Intrusion Detection -- A Framework for the Application of Association Rule Mining in Large Intrusion Detection Infrastructures -- Behavioral Distance Measurement Using Hidden Markov Models -- Automated Discovery of Mimicry Attacks -- Allergy Attack Against Automatic Signature Generation -- Paragraph: Thwarting Signature Learning by Training Maliciously -- Anomaly Detector Performance Evaluation Using a Parameterized Environment -- Ranking Attack Graphs -- Using Hidden Markov Models to Evaluate the Risks of Intrusions -- The Nepenthes Platform: An Efficient Approach to Collect Malware -- Automatic Handling of Protocol Dependencies and Reaction to 0-Day Attacks with ScriptGen Based Honeypots -- Fast and Evasive Attacks: Highlighting the Challenges Ahead -- Anagram: A Content Anomaly Detector Resistant to Mimicry Attack -- DEMEM: Distributed Evidence-Driven Message Exchange Intrusion Detection Model for MANET -- Enhancing Network Intrusion Detection with Integrated Sampling and Filtering -- WIND: Workload-Aware INtrusion Detection -- SafeCard: A Gigabit IPS on the Network Card. 410 0$aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v4219 606 $aManagement information systems 606 $aComputer science 606 $aComputers and civilization 606 $aData encryption (Computer science) 606 $aComputer communication systems 606 $aOperating systems (Computers) 606 $aManagement of Computing and Information Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I24067 606 $aComputers and Society$3https://scigraph.springernature.com/ontologies/product-market-codes/I24040 606 $aCryptology$3https://scigraph.springernature.com/ontologies/product-market-codes/I28020 606 $aComputer Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13022 606 $aOperating Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I14045 610 1 $aIntrusion detection 610 1 $aRAID 615 0$aManagement information systems. 615 0$aComputer science. 615 0$aComputers and civilization. 615 0$aData encryption (Computer science). 615 0$aComputer communication systems. 615 0$aOperating systems (Computers). 615 14$aManagement of Computing and Information Systems. 615 24$aComputers and Society. 615 24$aCryptology. 615 24$aComputer Communication Networks. 615 24$aOperating Systems. 676 $a005.8 702 $aZamboni$b Diego$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKruegel$b Christopher$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a996466072403316 996 $aRecent Advances in Intrusion Detection$9772673 997 $aUNISA