An Outsourcing Model for Alert Analysis in a Cybersecurity Operations Center
An Outsourcing Model for Alert Analysis in a Cybersecurity Operations Center
复制标题
网络安全运营中心警报分析的外包模型
DOI:
10.1145/3372498
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发表时间:
2020
影响因子:
3.5
通讯作者:
Cam, Hasan
中科院分区:
文献类型:
--
作者:
Shah, Ankit;Ganesan, Rajesh;Jajodia, Sushil;Cam, Hasan
A typical Cybersecurity Operations Center (CSOC) is a service organization. It hires and trains analysts, whose task is to perform analysis of alerts that were generated while monitoring the client’s networks. Due to ever-increasing financial and infrastructure burden on a CSOC driven by the rapidly growing demand for security services, it would become prohibitively expensive to continually expand the size of a CSOC to meet the demands in the future. An alternative solution is to outsource the alert analysis process to on-demand analysts, to provide scalable CSOC service to its clients with features, such as (1) higher throughput, (2) higher quality, and (3) more economical service than the current in-house service. The current outsourcing model is not cost effective and an exact optimization model is computationally inefficient. This article presents a novel two-step sequential mixed integer programming optimization method that is used in the development of a new decision-support business model for outsourcing the alert analysis process. It is demonstrated that through this model, a CSOC can effectively deliver its alert management services with the above-mentioned features. Results indicate that the model is scalable, computationally viable, real-time implementable, and can deliver CSOC services that meet the service-level agreement (SLA) between the CSOC and its client. In addition, the article provides valuable insights into the cost of operating the new business process outsourcing model for cybersecurity services.
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影响因子:
5
作者:
R. Ganesan;S. Jajodia;Ankit Shah;H. Çam
通讯作者:
H. Çam
DOI:
10.1007/978-3-540-89985-3_71
发表时间:
2008
影响因子:
10.6
作者:
A. Rasoulifard;A. G. Bafghi;M. Kahani
通讯作者:
M. Kahani
DOI:
--
发表时间:
2014
期刊:
--
影响因子:
--
作者:
Fahad F. Alruwaili;T. Gulliver
通讯作者:
T. Gulliver
影响因子:
1.5
作者:
M. Bazargan
通讯作者:
M. Bazargan
影响因子:
2
作者:
Douglas S. Altner;Anthony C. Rojas;L. Servi
通讯作者:
L. Servi