Details

Autor(en) / Beteiligte

• Lowney, M. Phil
• Liu, Hong
• Chabot, Eugene

Titel

Fair Authentic Acoustic Network Grouping

Ist Teil von

• 2018 IEEE International Symposium on Technologies for Homeland Security (HST), 2018, p.1-6

Ort / Verlag

IEEE

Erscheinungsjahr

2018

Quelle

IEEE Electronic Library (IEL)

Beschreibungen/Notizen

• This work examines authentication in underwater acoustic networking scenario. Taking a nontraditional approach to meet authenticity requirements, a scheme is proposed which includes not only intrusion prevention but also intrusion tolerance to some degree, called Fair Authentic Acoustic Network Grouping (FAANG). FAANG combines existing trust mechanisms with existing digital signature schemes to harness the most effective aspects of each. The study also surveys the state-of-the-art in securing underwater acoustic networks and notes the challenges not yet addressed in literature, rendering the said networks vulnerable. The work includes a new trust model. Simulation results against two popular trust violation cases demonstrate the effectiveness of the scheme.