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An orchestration approach for unwanted Internet traffic identification

  • Published:2012-08 Issue:12 Volume:56 Page:2805-2831
  • ISSN:1389-1286
  • Container-title:Computer Networks
  • language:en
  • Short-container-title:Computer Networks

Author:

Feitosa Eduardo,Souto Eduardo,Sadok Djamel H.

Publisher

Elsevier BV

Subject

Computer Networks and Communications

Reference87 articles.

1. CSI, Computer Security Institute. .

2. L.A. Gordon, M.P. Loeb, W. Lucyshyn, R. Rich, 2005 CSI/FBI Computer Crime Survey, in: 10th Annual Computer Crime and Security, 2005.

3. L.A. Gordon, M.P. Loeb, W. Lucyshyn, R. Rich, 2006 CSI/FBI Computer Crime Survey, in: 11th Annual Computer Crime and Security, 2006.

4. R. Richardson, 2007 CSI/FBI Computer Crime Survey, in: 12th Annual Computer Crime and Security, 2007.

5. Gartner, Gartner. .

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1. Design and Generation of a Set of Declarative APIs for Security Orchestration;IEEE Transactions on Services Computing;2023

2. Characterisation of Unsolicited Traffic Advertisements in Mobile Devices;2020 International Conference on Software, Telecommunications and Computer Networks (SoftCOM);2020-09-17

3. Architecture-Centric Support for Integrating Security Tools in a Security Orchestration Platform;Software Architecture;2020

4. A Multi-Vocal Review of Security Orchestration;ACM Computing Surveys;2019-05-31

5. An Ontology-Driven Approach to Automating the Process of Integrating Security Software Systems;2019 IEEE/ACM International Conference on Software and System Processes (ICSSP);2019-05
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