Statistical fingerprint-based intrusion detection system (SF-IDS)

Author:

Boero Luca1,Cello Marco12,Marchese Mario1,Mariconti Enrico3,Naqash Talha1,Zappatore Sandro1

Affiliation:

1. Department of Telecommunications, Electronic, Electric and Naval Engineering (DITEN); University of Genoa; Italy

2. Nokia Bell Labs; Blanchardstown Business & Technology Park; Snugborough Road Dublin 15 Ireland

3. Department of Security and Crime Science; University College London; United Kingdom

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Reference53 articles.

1. Cimds: adapting postprocessing techniques of associative classification for malware detection;Ye;IEEE Trans Syst, Man, Cybern, C: Appl Rev,2010

2. Defense against the dark arts;Cerf;IEEE Internet Comput,2012

3. Modelz: monitoring, detection, and analysis of energy-greedy anomalies in mobile handsets;Kim;IEEE Trans Mobile Comput,2011

4. Detection of mobile malware in the wild;Chandramohan;Computer,2012

5. A survey on security for mobile devices;La Polla;IEEE Commun Surveys Tuts,2013

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