Visible to the public Biblio

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2020-11-23
Sreekumari, P..  2018.  Privacy-Preserving Keyword Search Schemes over Encrypted Cloud Data: An Extensive Analysis. 2018 IEEE 4th International Conference on Big Data Security on Cloud (BigDataSecurity), IEEE International Conference on High Performance and Smart Computing, (HPSC) and IEEE International Conference on Intelligent Data and Security (IDS). :114–120.
Big Data has rapidly developed into a hot research topic in many areas that attracts attention from academia and industry around the world. Many organization demands efficient solution to store, process, analyze and search huge amount of information. With the rapid development of cloud computing, organization prefers cloud storage services to reduce the overhead of storing data locally. However, the security and privacy of big data in cloud computing is a major source of concern. One of the positive ways of protecting data is encrypting it before outsourcing to remote servers, but the encrypted significant amounts of cloud data brings difficulties for the remote servers to perform any keyword search functions without leaking information. Various privacy-preserving keyword search (PPKS) schemes have been proposed to mitigate the privacy issue of big data encrypted on cloud storage. This paper presents an extensive analysis of the existing PPKS techniques in terms of verifiability, efficiency and data privacy. Through this analysis, we present some valuable directions for future work.
2020-11-04
Torkura, K. A., Sukmana, M. I. H., Strauss, T., Graupner, H., Cheng, F., Meinel, C..  2018.  CSBAuditor: Proactive Security Risk Analysis for Cloud Storage Broker Systems. 2018 IEEE 17th International Symposium on Network Computing and Applications (NCA). :1—10.

Cloud Storage Brokers (CSB) provide seamless and concurrent access to multiple Cloud Storage Services (CSS) while abstracting cloud complexities from end-users. However, this multi-cloud strategy faces several security challenges including enlarged attack surfaces, malicious insider threats, security complexities due to integration of disparate components and API interoperability issues. Novel security approaches are imperative to tackle these security issues. Therefore, this paper proposes CS-BAuditor, a novel cloud security system that continuously audits CSB resources, to detect malicious activities and unauthorized changes e.g. bucket policy misconfigurations, and remediates these anomalies. The cloud state is maintained via a continuous snapshotting mechanism thereby ensuring fault tolerance. We adopt the principles of chaos engineering by integrating BrokerMonkey, a component that continuously injects failure into our reference CSB system, CloudRAID. Hence, CSBAuditor is continuously tested for efficiency i.e. its ability to detect the changes injected by BrokerMonkey. CSBAuditor employs security metrics for risk analysis by computing severity scores for detected vulnerabilities using the Common Configuration Scoring System, thereby overcoming the limitation of insufficient security metrics in existing cloud auditing schemes. CSBAuditor has been tested using various strategies including chaos engineering failure injection strategies. Our experimental evaluation validates the efficiency of our approach against the aforementioned security issues with a detection and recovery rate of over 96 %.

2020-06-01
Tang, Yuzhe, Zou, Qiwu, Chen, Ju, Li, Kai, Kamhoua, Charles A., Kwiat, Kevin, Njilla, Laurent.  2018.  ChainFS: Blockchain-Secured Cloud Storage. 2018 IEEE 11th International Conference on Cloud Computing (CLOUD). :987–990.
This work presents ChainFS, a middleware system that secures cloud storage services using a minimally trusted Blockchain. ChainFS hardens the cloud-storage security against forking attacks. The ChainFS middleware exposes a file-system interface to end users. Internally, ChainFS stores data files in the cloud and exports minimal and necessary functionalities to the Blockchain for key distribution and file operation logging. We implement the ChainFS system on Ethereum and S3FS and closely integrate it with FUSE clients and Amazon S3 cloud storage. We measure the system performance and demonstrate low overhead.