Matches in SemOpenAlex for { <https://semopenalex.org/work/W2901738764> ?p ?o ?g. }
Showing items 1 to 74 of
74
with 100 items per page.
- W2901738764 abstract "Hidden Markov Models (HMMs) have been widely used recently for detection of metamorphic malware families. In this paper, we address some practical aspects which should be taken into consideration when modeling file infectors using HMMs. We highlight how patient zero and the way in which generations of infections are spread is important to correctly choose and extract the code (sequences of instructions) on which to perform the training / testing. Specifically, we perform some tests in order to show the devastating effects on the detection rate for cases in which: testing is performed on buffers of code bigger in size than the ones used for training; training is performed on latter generations as opposed to using earlier generations; code belonging to the file infector ends with one random instruction or a few instructions belonging to the clean host. We performed the tests on Evol, a highly metamorphic malware family, which has the desired property of evolving significantly across two different generations." @default.
- W2901738764 created "2018-11-29" @default.
- W2901738764 creator A5034359703 @default.
- W2901738764 creator A5054451613 @default.
- W2901738764 date "2017-09-01" @default.
- W2901738764 modified "2023-09-26" @default.
- W2901738764 title "Practical Aspects Related to Using Hidden Markov Models for Detecting Metamorphic File Infectors" @default.
- W2901738764 cites W1584602838 @default.
- W2901738764 cites W1616768385 @default.
- W2901738764 cites W1964406293 @default.
- W2901738764 cites W1968163059 @default.
- W2901738764 cites W1982193684 @default.
- W2901738764 cites W2072698166 @default.
- W2901738764 cites W2105312676 @default.
- W2901738764 cites W2110978214 @default.
- W2901738764 cites W2154554798 @default.
- W2901738764 cites W2240935584 @default.
- W2901738764 cites W2334486767 @default.
- W2901738764 cites W2903953076 @default.
- W2901738764 doi "https://doi.org/10.1109/synasc.2017.00051" @default.
- W2901738764 hasPublicationYear "2017" @default.
- W2901738764 type Work @default.
- W2901738764 sameAs 2901738764 @default.
- W2901738764 citedByCount "0" @default.
- W2901738764 crossrefType "proceedings-article" @default.
- W2901738764 hasAuthorship W2901738764A5034359703 @default.
- W2901738764 hasAuthorship W2901738764A5054451613 @default.
- W2901738764 hasConcept C111919701 @default.
- W2901738764 hasConcept C119857082 @default.
- W2901738764 hasConcept C154945302 @default.
- W2901738764 hasConcept C177264268 @default.
- W2901738764 hasConcept C199360897 @default.
- W2901738764 hasConcept C23224414 @default.
- W2901738764 hasConcept C2776760102 @default.
- W2901738764 hasConcept C41008148 @default.
- W2901738764 hasConcept C541664917 @default.
- W2901738764 hasConcept C98763669 @default.
- W2901738764 hasConceptScore W2901738764C111919701 @default.
- W2901738764 hasConceptScore W2901738764C119857082 @default.
- W2901738764 hasConceptScore W2901738764C154945302 @default.
- W2901738764 hasConceptScore W2901738764C177264268 @default.
- W2901738764 hasConceptScore W2901738764C199360897 @default.
- W2901738764 hasConceptScore W2901738764C23224414 @default.
- W2901738764 hasConceptScore W2901738764C2776760102 @default.
- W2901738764 hasConceptScore W2901738764C41008148 @default.
- W2901738764 hasConceptScore W2901738764C541664917 @default.
- W2901738764 hasConceptScore W2901738764C98763669 @default.
- W2901738764 hasLocation W29017387641 @default.
- W2901738764 hasOpenAccess W2901738764 @default.
- W2901738764 hasPrimaryLocation W29017387641 @default.
- W2901738764 hasRelatedWork W1487749443 @default.
- W2901738764 hasRelatedWork W1538315510 @default.
- W2901738764 hasRelatedWork W1587644846 @default.
- W2901738764 hasRelatedWork W1616768385 @default.
- W2901738764 hasRelatedWork W1825799234 @default.
- W2901738764 hasRelatedWork W196133890 @default.
- W2901738764 hasRelatedWork W1968163059 @default.
- W2901738764 hasRelatedWork W1982193684 @default.
- W2901738764 hasRelatedWork W2011483646 @default.
- W2901738764 hasRelatedWork W2069640103 @default.
- W2901738764 hasRelatedWork W2095097731 @default.
- W2901738764 hasRelatedWork W2117013471 @default.
- W2901738764 hasRelatedWork W2154554798 @default.
- W2901738764 hasRelatedWork W2162652393 @default.
- W2901738764 hasRelatedWork W2403934060 @default.
- W2901738764 hasRelatedWork W2528177035 @default.
- W2901738764 hasRelatedWork W2729110484 @default.
- W2901738764 hasRelatedWork W3186943068 @default.
- W2901738764 hasRelatedWork W825683049 @default.
- W2901738764 hasRelatedWork W1542903750 @default.
- W2901738764 isParatext "false" @default.
- W2901738764 isRetracted "false" @default.
- W2901738764 magId "2901738764" @default.
- W2901738764 workType "article" @default.