A novel approach based on segmentation for securing medical image processing over cloud

Healthcare professionals require advanced image processing software to enhance the quality of clinical decisions. However, any investment in sophisticated local applications would dramatically increase healthcare costs. To address this issue, medical providers are interested in adopting cloud technology. In spite of its multiple advantages, outsourcing computations to an external provider arises several challenges. In fact, security is the major factor hindering the widespread acceptance of this new concept. Recently, various solutions have been suggested to fulfill healthcare demands. Though, ensuring privacy and high performance needs more improvements to meet the healthcare sector requirements. To this end, we propose a framework based on segmentation approach to secure cloud-based medical image processing in the healthcare system.

[1]  Pradeep K. Atrey,et al.  Secure Cloud-Based Volume Ray-Casting , 2013, 2013 IEEE 5th International Conference on Cloud Computing Technology and Science.

[2]  Siani Pearson,et al.  Privacy, Security and Trust Issues Arising from Cloud Computing , 2010, 2010 IEEE Second International Conference on Cloud Computing Technology and Science.

[3]  RatnaKumari Challa,et al.  Secure Image processing using LWE based Homomorphic encryption , 2015, 2015 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT).

[4]  Athanasios V. Vasilakos,et al.  Security in cloud computing: Opportunities and challenges , 2015, Inf. Sci..

[5]  Asifullah Khan,et al.  A recent survey of reversible watermarking techniques , 2014, Inf. Sci..

[6]  Jeffrey J. Rodríguez,et al.  Expansion Embedding Techniques for Reversible Watermarking , 2007, IEEE Transactions on Image Processing.

[7]  T. Sangeetha,et al.  Cloud-Based Image Processing with Data Priority Distribution Mechanism , 2022 .

[8]  Lei Ye,et al.  Medical Information Integration Based Cloud Computing , 2011, 2011 International Conference on Network Computing and Information Security.

[9]  Yuri Boykov,et al.  Globally optimal segmentation of multi-region objects , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[10]  V. Todica,et al.  SOA-based medical image processing platform , 2008, 2008 IEEE International Conference on Automation, Quality and Testing, Robotics.

[11]  Nader Mohamed,et al.  e-Health cloud implementation issues and efforts , 2015, 2015 International Conference on Industrial Engineering and Operations Management (IEOM).

[12]  Himadri Nath Moulick,et al.  Medical image processing using a service oriented Architecture and Distributed Environment , 2013 .

[13]  Pradeep K. Atrey,et al.  Secure cloud-based medical data visualization , 2012, ACM Multimedia.