Your browser doesn't support javascript.
loading
New DoS Defense Method Based on Strong Designated Verifier Signatures.
de Almeida, Marcone Pereira; de Sousa Júnior, Rafael Timóteo; García Villalba, Luis Javier; Kim, Tai-Hoon.
Affiliation
  • de Almeida MP; Cyber Security INCT, University of Brasília, Brasília 70910-900, Brazil. marcone.almeida@redes.unb.br.
  • de Sousa Júnior RT; Cyber Security INCT, University of Brasília, Brasília 70910-900, Brazil. desousa@unb.br.
  • García Villalba LJ; Group of Analysis, Security and Systems (GASS), Department of Software Engineering and Artificial Intelligence (DISIA), Faculty of Computer Science and Engineering, Office 431, Universidad Complutense de Madrid (UCM), Calle Profesor José García Santesmases, 9, Ciudad Universitaria, 28040 Madrid, Spa
  • Kim TH; Department of Convergence Security, Sungshin Women's University, 249-1 Dongseon-Dong 3-ga, Seoul 136-742, Korea. taihoonn@daum.net.
Sensors (Basel) ; 18(9)2018 Aug 26.
Article in En | MEDLINE | ID: mdl-30149678
We present a novel technique for source authentication of a packet stream in a network, which intends to give guarantees that a specific network flow really comes from a claimed origin. This mechanism, named packet level authentication (PLA), can be an essential tool for addressing Denial of Service (DoS) attacks. Based on designated verifier signature schemes, our proposal is an appropriate and unprecedented solution applying digital signatures for DoS prevention. Our scheme does not rely on an expensive public-key infrastructure and makes use of light cryptography machinery that is suitable in the context of the Internet of Things (IoT). We analyze our proposed scheme as a defense measure considering known DoS attacks and present a formal proof of its resilience face to eventual adversaries. Furthermore, we compare our solution to already existent strategies, highlighting its advantages and drawbacks.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sensors (Basel) Year: 2018 Document type: Article Affiliation country: Brazil Country of publication: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sensors (Basel) Year: 2018 Document type: Article Affiliation country: Brazil Country of publication: Switzerland