Matches in SemOpenAlex for { <https://semopenalex.org/work/W2018171663> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W2018171663 endingPage "208" @default.
- W2018171663 startingPage "200" @default.
- W2018171663 abstract "The immune system response of the vertebrates demonstrates an extremely adaptive and resilient defensive capability against a broad spectrum of pathogenic attacks. The field of artificial immune systems (AISs) aims to replicate this capability in the digital environment. In particular, we would like to understand adaptive survivability and defence in large-scale computing networks. In this paper we discuss some of the background concepts to AIS and focus on one specific aspect required to achieve a digital immune system, i.e. the social dynamics of competitive and co-operative defence. In particular, the ability of an information network to maintain itself in the face of continuous perturbation raises more complex issues related to system metabolism and network topology. In order to investigate these processes a multi-agent simulation model has been developed that demonstrates a self-organising group formation capability and a collective immune response. In this model each agent is susceptible to viral infections passed between the agents and has local sensors and a complex metabolic state that reflects its current health. We then introduced an artificial immune system to each agent that allowed learned ‘antibody’ solutions to be exchanged between the agents within a social group. The health of a co-operative group was observed to improve by over 90%, relative to isolated agents or non-cooperative groups. The specific solutions advocated are therefore to utilise distributed defence mechanisms and the monitoring of metabolic processes to detect intrusions. Finally, the paper considers the problem of how we might utilise such knowledge to develop greater security and robustness in real-world networks using distributed agent systems." @default.
- W2018171663 created "2016-06-24" @default.
- W2018171663 creator A5058634130 @default.
- W2018171663 date "2007-01-01" @default.
- W2018171663 modified "2023-09-27" @default.
- W2018171663 title "Survival in cyberspace" @default.
- W2018171663 cites W1512035444 @default.
- W2018171663 cites W1527856372 @default.
- W2018171663 cites W1551186452 @default.
- W2018171663 cites W157562232 @default.
- W2018171663 cites W1581886233 @default.
- W2018171663 cites W1599126799 @default.
- W2018171663 cites W1617641394 @default.
- W2018171663 cites W189008923 @default.
- W2018171663 cites W1990911977 @default.
- W2018171663 cites W2006967535 @default.
- W2018171663 cites W2019771453 @default.
- W2018171663 cites W2062493711 @default.
- W2018171663 cites W2096154177 @default.
- W2018171663 cites W2104506091 @default.
- W2018171663 cites W2104799982 @default.
- W2018171663 cites W2129624205 @default.
- W2018171663 cites W2150231948 @default.
- W2018171663 cites W2157929035 @default.
- W2018171663 cites W2164527006 @default.
- W2018171663 cites W2169568754 @default.
- W2018171663 cites W2495965124 @default.
- W2018171663 cites W3103071483 @default.
- W2018171663 cites W3123273839 @default.
- W2018171663 cites W83267480 @default.
- W2018171663 cites W1540330908 @default.
- W2018171663 doi "https://doi.org/10.1016/j.istr.2007.10.006" @default.
- W2018171663 hasPublicationYear "2007" @default.
- W2018171663 type Work @default.
- W2018171663 sameAs 2018171663 @default.
- W2018171663 citedByCount "2" @default.
- W2018171663 countsByYear W20181716632013 @default.
- W2018171663 crossrefType "journal-article" @default.
- W2018171663 hasAuthorship W2018171663A5058634130 @default.
- W2018171663 hasConcept C110875604 @default.
- W2018171663 hasConcept C112930515 @default.
- W2018171663 hasConcept C120314980 @default.
- W2018171663 hasConcept C136764020 @default.
- W2018171663 hasConcept C144133560 @default.
- W2018171663 hasConcept C154945302 @default.
- W2018171663 hasConcept C2781133158 @default.
- W2018171663 hasConcept C2781241145 @default.
- W2018171663 hasConcept C31258907 @default.
- W2018171663 hasConcept C38652104 @default.
- W2018171663 hasConcept C41008148 @default.
- W2018171663 hasConceptScore W2018171663C110875604 @default.
- W2018171663 hasConceptScore W2018171663C112930515 @default.
- W2018171663 hasConceptScore W2018171663C120314980 @default.
- W2018171663 hasConceptScore W2018171663C136764020 @default.
- W2018171663 hasConceptScore W2018171663C144133560 @default.
- W2018171663 hasConceptScore W2018171663C154945302 @default.
- W2018171663 hasConceptScore W2018171663C2781133158 @default.
- W2018171663 hasConceptScore W2018171663C2781241145 @default.
- W2018171663 hasConceptScore W2018171663C31258907 @default.
- W2018171663 hasConceptScore W2018171663C38652104 @default.
- W2018171663 hasConceptScore W2018171663C41008148 @default.
- W2018171663 hasIssue "4" @default.
- W2018171663 hasLocation W20181716631 @default.
- W2018171663 hasOpenAccess W2018171663 @default.
- W2018171663 hasPrimaryLocation W20181716631 @default.
- W2018171663 hasRelatedWork W1533044580 @default.
- W2018171663 hasRelatedWork W1587227328 @default.
- W2018171663 hasRelatedWork W2318419250 @default.
- W2018171663 hasRelatedWork W2595320303 @default.
- W2018171663 hasRelatedWork W2965800227 @default.
- W2018171663 hasRelatedWork W2998813341 @default.
- W2018171663 hasRelatedWork W3211225943 @default.
- W2018171663 hasRelatedWork W4226342144 @default.
- W2018171663 hasRelatedWork W4247652057 @default.
- W2018171663 hasRelatedWork W4285256911 @default.
- W2018171663 hasVolume "12" @default.
- W2018171663 isParatext "false" @default.
- W2018171663 isRetracted "false" @default.
- W2018171663 magId "2018171663" @default.
- W2018171663 workType "article" @default.