학술논문

Enabling Cyber Security Data Sharing for Large-scale Enterprises Using Managed Security Services
Document Type
Conference
Source
2018 IEEE Conference on Communications and Network Security (CNS) Communications and Network Security (CNS), 2018 IEEE Conference on. :1-7 May, 2018
Subject
Communication, Networking and Broadcast Technologies
Portals
Collaboration
Computer security
Task analysis
Lakes
Monitoring
Cyber security
privacy
policy
information
data sharing
data anonymization
data sanitization
data encryption
managed security service
managed security service provider
large-scale enterprise
organization
architecture
design
component
diagram
use case
multi-tenant
cloud service
Language
Abstract
Large enterprises and organizations from both private and public sectors typically outsource a platform solution, as part of the Managed Security Services (MSSs), from 3 rd party providers (MSSPs) to monitor and analyze their data containing cyber security information. Sharing such data among these large entities is believed to improve their effectiveness and efficiency at tackling cybercrimes, via improved analytics and insights. However, MSS platform customers currently are not able or not willing to share data among themselves because of multiple reasons, including privacy and confidentiality concerns, even when they are using the same MSS platform. Therefore any proposed mechanism or technique to address such a challenge need to ensure that sharing is achieved in a secure and controlled way. In this paper, we propose a new architecture and use case driven designs to enable confidential, flexible and collaborative data sharing among such organizations using the same MSS platform. MSS platform is a complex environment where different stakeholders, including authorized MSSP personnel and customers' own users, have access to the same platform but with different types of rights and tasks. Hence we make every effort to improve the usability of the platform supporting sharing while keeping the existing rights and tasks intact. As an innovative and pioneering attempt to address the challenge of data sharing in the MSS platform, we hope to encourage further work to follow so that confidential and collaborative sharing eventually happens among MSS platform customers.