Matches in SemOpenAlex for { <https://semopenalex.org/work/W4377990711> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W4377990711 endingPage "163" @default.
- W4377990711 startingPage "150" @default.
- W4377990711 abstract "Mobile Crowdsensing (MCS) is rapidly growing up while encountering severe security threats simultaneously. DDoS attacks tend to disrupt large-scale sensing tasks to the MCS and reduce the availability of MCS. However, the existing centralized defense technology has the problem of high cost and the existing research lacks the application of distributed cooperative characteristics of MCS. A crowd cooperative defense model for mitigating DDoS attacks in MCS is proposed based on these. Firstly, the crowdsensing networks are formally described. The cooperative mechanism of sensing nodes participating in overlapping sensing coalition is generalized, which breaks the independence between the distributed sensing nodes and enables the sensing nodes to cooperate against DDoS attacks. Then, the crowd cooperative defense problem is transformed into a multi-objective combinatorial optimization problem. A multi-objective discrete Harris Hawk optimization (MODHHO) algorithm is designed. The algorithm applies non-dominated sorting and crowding strategy to evaluate the advantages and disadvantages of each cooperative defense solution on the cooperative defense objectives. In addition, the global exploration, local exploitation, and besiege phases are used to continuously update the cooperative defense solutions, and finally obtains the global optimal cooperative defense solution after a certain number of iterations. The simulation results show that the proposed model can minimize the defense cost compared to non-cooperative and non-overlapping sensing coalition methods. Compared with centralized defense, the loss cost of the proposed model is reduced by 61.8%. In addition, the average throughput of the sensing network is increased by 35.5%, which enhances the availability of the sensing network." @default.
- W4377990711 created "2023-05-25" @default.
- W4377990711 creator A5011799739 @default.
- W4377990711 creator A5032764121 @default.
- W4377990711 creator A5059357770 @default.
- W4377990711 date "2023-07-01" @default.
- W4377990711 modified "2023-10-03" @default.
- W4377990711 title "A crowd cooperative defense model for mitigating DDoS attacks in Mobile Crowdsensing networks" @default.
- W4377990711 cites W2159458555 @default.
- W4377990711 cites W2896601134 @default.
- W4377990711 cites W2899258002 @default.
- W4377990711 cites W2919979744 @default.
- W4377990711 cites W2946170842 @default.
- W4377990711 cites W2946551824 @default.
- W4377990711 cites W2979523842 @default.
- W4377990711 cites W3004069267 @default.
- W4377990711 cites W3009108138 @default.
- W4377990711 cites W3014318552 @default.
- W4377990711 cites W3045162568 @default.
- W4377990711 cites W3046118330 @default.
- W4377990711 cites W3065783609 @default.
- W4377990711 cites W3091588063 @default.
- W4377990711 cites W3093672075 @default.
- W4377990711 cites W3127206013 @default.
- W4377990711 cites W3162331326 @default.
- W4377990711 cites W3171028834 @default.
- W4377990711 cites W3172155345 @default.
- W4377990711 cites W3189655871 @default.
- W4377990711 cites W3195194899 @default.
- W4377990711 cites W3196374952 @default.
- W4377990711 cites W4221149902 @default.
- W4377990711 cites W4281558202 @default.
- W4377990711 cites W4285258208 @default.
- W4377990711 cites W4292862193 @default.
- W4377990711 cites W4299569615 @default.
- W4377990711 cites W4315630008 @default.
- W4377990711 cites W4318984199 @default.
- W4377990711 doi "https://doi.org/10.1016/j.comcom.2023.05.017" @default.
- W4377990711 hasPublicationYear "2023" @default.
- W4377990711 type Work @default.
- W4377990711 citedByCount "0" @default.
- W4377990711 crossrefType "journal-article" @default.
- W4377990711 hasAuthorship W4377990711A5011799739 @default.
- W4377990711 hasAuthorship W4377990711A5032764121 @default.
- W4377990711 hasAuthorship W4377990711A5059357770 @default.
- W4377990711 hasConcept C110875604 @default.
- W4377990711 hasConcept C120314980 @default.
- W4377990711 hasConcept C136764020 @default.
- W4377990711 hasConcept C157764524 @default.
- W4377990711 hasConcept C31258907 @default.
- W4377990711 hasConcept C38652104 @default.
- W4377990711 hasConcept C38822068 @default.
- W4377990711 hasConcept C41008148 @default.
- W4377990711 hasConcept C555944384 @default.
- W4377990711 hasConcept C76155785 @default.
- W4377990711 hasConceptScore W4377990711C110875604 @default.
- W4377990711 hasConceptScore W4377990711C120314980 @default.
- W4377990711 hasConceptScore W4377990711C136764020 @default.
- W4377990711 hasConceptScore W4377990711C157764524 @default.
- W4377990711 hasConceptScore W4377990711C31258907 @default.
- W4377990711 hasConceptScore W4377990711C38652104 @default.
- W4377990711 hasConceptScore W4377990711C38822068 @default.
- W4377990711 hasConceptScore W4377990711C41008148 @default.
- W4377990711 hasConceptScore W4377990711C555944384 @default.
- W4377990711 hasConceptScore W4377990711C76155785 @default.
- W4377990711 hasFunder F4320321001 @default.
- W4377990711 hasFunder F4320323085 @default.
- W4377990711 hasLocation W43779907111 @default.
- W4377990711 hasOpenAccess W4377990711 @default.
- W4377990711 hasPrimaryLocation W43779907111 @default.
- W4377990711 hasRelatedWork W2033960944 @default.
- W4377990711 hasRelatedWork W2044289069 @default.
- W4377990711 hasRelatedWork W2146015500 @default.
- W4377990711 hasRelatedWork W2328975761 @default.
- W4377990711 hasRelatedWork W2374992565 @default.
- W4377990711 hasRelatedWork W2921333321 @default.
- W4377990711 hasRelatedWork W3026917846 @default.
- W4377990711 hasRelatedWork W4281641933 @default.
- W4377990711 hasRelatedWork W4318570420 @default.
- W4377990711 hasRelatedWork W2560585121 @default.
- W4377990711 hasVolume "207" @default.
- W4377990711 isParatext "false" @default.
- W4377990711 isRetracted "false" @default.
- W4377990711 workType "article" @default.