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Author Maiolini, Gianluca ♦ Baiocchi, Andrea ♦ Rizzi, Antonello ♦ Ferri, Sara ♦ Gabbrielli, Letizia
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Statistical Feature ♦ Ip Traffic ♦ Fly Encoded Application Flow Recognition ♦ Audio Recording ♦ Application Flow ♦ Different Country ♦ Scheduling Instrument ♦ Ip Packet ♦ Scjw Network Administrator ♦ Secure Communication ♦ Different Judicial Office ♦ Application Service ♦ Secure Collaborative Judicial Workspace ♦ Ssh Tunnel ♦ Un-trusted Application ♦ Encoded Application ♦ Analyze Traffic Content
Abstract Abstract. The secure collaborative judicial workspace (SCJW) has to allow the actors to use a number of communication and scheduling instruments for managing and storing any kind of documentation, video and audio recordings, evidence, among different Judicial offices of different countries. In this scenario is very important to identify encoded application delivering those application services to guarantee secure communication, but at the same time it is important to not compromise privacy of information exchanged. In this paper we aim at identifying application flows encoded within SSH tunnels by relying on statistical feature of IP packets. This will enable SCJW network administrator to identify un-trusted applications without analyze traffic contents.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article