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The Cloud Security Alliance lists data theft and insider attacks as critical threats to cloud security. Our work puts forth an approach using a train, monitor, detect pattern which leverages a stateful rule based k-nearest neighbors anomaly detection technique and system state data to detect inside attacker data theft on Infrastructure as a Service (IaaS) nodes. We posit, instantiate, and demonstrate...
To secure IaaS cloud environments, multiple layers of security mechanisms must be deployed and monitored. When a threat is detected, it must be appropriately acted upon. A common problem with monitoring such approaches is the sheer volume of alarms generated. Some alerts may be false positives, others are informational. It is challenging for cloud providers to quickly interpret which events to act...
Mobile devices such as smartphones and tablets are widely used for personal and business uses. Compared to personal mobile subscribers, enterprises have more concerns about mobile device security. The challenges an enterprise may face include unlimited access to corporate resources, lack of encryption on corporate data, unwillingness to backup data, etc. Many of these issues have been resolved by...
Mobile malware has gained significant ground since the dawning of smartphones and handheld devices. TrendLabs estimated that there were 718,000 malicious and high risk Android apps in the second quarter of 2013. Mobile malware malicious infections arise through various techniques such as installing repackaged legitimate apps with malware, updating current apps that piggy back malicious variants, or...
Shared resources are an essential part of cloud computing. Virtualization and multi-tenancy provide a number of advantages for increasing resource utilization and for providing on demand elasticity. However, these cloud features also raise many security concerns related to cloud computing resources. In this paper, we propose an architecture and approach for leveraging the virtualization technology...
Privacy has become an important concern in online social networks. One of the fundamental challenging issues is privacy measurement. Without a practical and effective way to quantify, measure and evaluate privacy, it is hard for social networking sites and users to make and adjust privacy settings to protect privacy. In this paper, we introduce a practical and effective approach for privacy measurement...
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