Matches in SemOpenAlex for { <https://semopenalex.org/work/W4288016989> ?p ?o ?g. }
Showing items 1 to 72 of
72
with 100 items per page.
- W4288016989 abstract "Cyber-Physical Systems (CPS) are present in many settings addressing a myriad of purposes. Examples are Internet-of-Things (IoT) or sensing software embedded in appliances or even specialised meters that measure and respond to electricity demands in smart grids. Due to their pervasive nature, they are usually chosen as recipients for larger scope cyber-security attacks. Those promote system-wide disruptions and are directed towards one key aspect such as confidentiality, integrity, availability or a combination of those characteristics. Our paper focuses on a particular and distressing attack where coordinated malware infected IoT units are maliciously employed to synchronously turn on or off high-wattage appliances, affecting the grid's primary control management. Our model could be extended to larger (smart) grids, Active Buildings as well as similar infrastructures. Our approach models Coordinated Load-Changing Attacks (CLCA) also referred as GridLock or BlackIoT, against a theoretical power grid, containing various types of power plants. It employs Continuous-Time Markov Chains where elements such as Power Plants and Botnets are modelled under normal or attack situations to evaluate the effect of CLCA in power reliant infrastructures. We showcase our modelling approach in the scenario of a power supplier (e.g. power plant) being targeted by a botnet. We demonstrate how our modelling approach can quantify the impact of a botnet attack and be abstracted for any CPS system involving power load management in a smart grid. Our results show that by prioritising the type of power-plants, the impact of the attack may change: in particular, we find the most impacting attack times and show how different strategies impact their success. We also find the best power generator to use depending on the current demand and strength of attack." @default.
- W4288016989 created "2022-07-26" @default.
- W4288016989 creator A5018274720 @default.
- W4288016989 creator A5064263578 @default.
- W4288016989 creator A5081890987 @default.
- W4288016989 creator A5083239334 @default.
- W4288016989 date "2019-11-28" @default.
- W4288016989 modified "2023-09-29" @default.
- W4288016989 title "Modelling Load-Changing Attacks in Cyber-Physical Systems" @default.
- W4288016989 doi "https://doi.org/10.48550/arxiv.1911.12757" @default.
- W4288016989 hasPublicationYear "2019" @default.
- W4288016989 type Work @default.
- W4288016989 citedByCount "0" @default.
- W4288016989 crossrefType "posted-content" @default.
- W4288016989 hasAuthorship W4288016989A5018274720 @default.
- W4288016989 hasAuthorship W4288016989A5064263578 @default.
- W4288016989 hasAuthorship W4288016989A5081890987 @default.
- W4288016989 hasAuthorship W4288016989A5083239334 @default.
- W4288016989 hasBestOaLocation W42880169891 @default.
- W4288016989 hasConcept C10558101 @default.
- W4288016989 hasConcept C110875604 @default.
- W4288016989 hasConcept C111919701 @default.
- W4288016989 hasConcept C119599485 @default.
- W4288016989 hasConcept C121332964 @default.
- W4288016989 hasConcept C127413603 @default.
- W4288016989 hasConcept C136764020 @default.
- W4288016989 hasConcept C163258240 @default.
- W4288016989 hasConcept C179768478 @default.
- W4288016989 hasConcept C22735295 @default.
- W4288016989 hasConcept C26517878 @default.
- W4288016989 hasConcept C2777913456 @default.
- W4288016989 hasConcept C38652104 @default.
- W4288016989 hasConcept C41008148 @default.
- W4288016989 hasConcept C541664917 @default.
- W4288016989 hasConcept C62520636 @default.
- W4288016989 hasConcept C89227174 @default.
- W4288016989 hasConceptScore W4288016989C10558101 @default.
- W4288016989 hasConceptScore W4288016989C110875604 @default.
- W4288016989 hasConceptScore W4288016989C111919701 @default.
- W4288016989 hasConceptScore W4288016989C119599485 @default.
- W4288016989 hasConceptScore W4288016989C121332964 @default.
- W4288016989 hasConceptScore W4288016989C127413603 @default.
- W4288016989 hasConceptScore W4288016989C136764020 @default.
- W4288016989 hasConceptScore W4288016989C163258240 @default.
- W4288016989 hasConceptScore W4288016989C179768478 @default.
- W4288016989 hasConceptScore W4288016989C22735295 @default.
- W4288016989 hasConceptScore W4288016989C26517878 @default.
- W4288016989 hasConceptScore W4288016989C2777913456 @default.
- W4288016989 hasConceptScore W4288016989C38652104 @default.
- W4288016989 hasConceptScore W4288016989C41008148 @default.
- W4288016989 hasConceptScore W4288016989C541664917 @default.
- W4288016989 hasConceptScore W4288016989C62520636 @default.
- W4288016989 hasConceptScore W4288016989C89227174 @default.
- W4288016989 hasLocation W42880169891 @default.
- W4288016989 hasLocation W42880169892 @default.
- W4288016989 hasLocation W42880169893 @default.
- W4288016989 hasLocation W42880169894 @default.
- W4288016989 hasOpenAccess W4288016989 @default.
- W4288016989 hasPrimaryLocation W42880169891 @default.
- W4288016989 hasRelatedWork W10035208 @default.
- W4288016989 hasRelatedWork W10100871 @default.
- W4288016989 hasRelatedWork W10530259 @default.
- W4288016989 hasRelatedWork W13127727 @default.
- W4288016989 hasRelatedWork W13732297 @default.
- W4288016989 hasRelatedWork W4861383 @default.
- W4288016989 hasRelatedWork W6635562 @default.
- W4288016989 hasRelatedWork W6983256 @default.
- W4288016989 hasRelatedWork W8098834 @default.
- W4288016989 hasRelatedWork W12316596 @default.
- W4288016989 isParatext "false" @default.
- W4288016989 isRetracted "false" @default.
- W4288016989 workType "article" @default.