Deep neural networks (DNNs) are used to solve complex classification problems, for which other machine learning classifiers, such as SVM, fall short. Recurrent neural networks (RNNs) have been used for tasks that involves sequential inputs, such as speech to text. In the cyber security domain, RNNs based on API calls have been used effectively to classify previously un-encountered malware. In t...

Proxy objects are local representatives of remote objects in a distributed system. We use proxies to construct a transparent application programming interface (API) for the Choices distributed operating system. In earlier work, proxies were used in Choices to provide a protected, object{oriented interface to system objects. The addition of RemoteProxies allows applications to access all resourc...

Formatting and editing documentation can be a tedious process regardless of how well your documentation templates are made. Especially, keeping the code examples up-to-date can be time-consuming and error-prone. The research presented in this article describes a Javadoc extension that can be used to produce example data in combination with automatically generated API method call examples, and e...

We present a framework for interprocedural shape analysis, which is context-and flow-sensitive with the ability to perform destructive pointer updates. Instancesof the framework are precise enough to prove the absence of program errors suchas null dereferences, memory leaks and verify conformance to API specifications.Technically, our analysis computes procedure summaries as tra...

We present the architecture, design and experimental research prototype implementation of CitiTime, an open system architecture for the rapid development of advanced next-generation telephony services that overcomes some of the limitations of the current closed PSTN architecture and service model. CitiTime allows communication sessions to be set up over the PSTN, the Internet, or a combination ...

Abstract Malware detection is an important task for the ecosystem of mobile applications (APPs), especially Android ecosystem, and vital to guarantee user experience APPs. There have been some exiting methods trying solve problem malware detection, but suffer from several defects, such as high time complexity mediocre accuracy, which seriously decrease practicability existing methods. To these ...

Monsoon precipitation and severe flooding is highly variable often unpredictable, with a range of flood conditions impacts across metropolitan regions or county. County storm specific watches warnings issued by the National Weather Service (NWS) alert public to current risks, but floods are not limited area that under these zones can be relatively coarse depending on data based on. Research don...

The steady improvements in the networking infrastructure and ever increasing broadband penetration has fueled the resurgence of voice-over-IP (VoIP). One of the important contributors to this growth has also been the development and wide acceptance of the session initiation protocol (SIP). However, the current usage of SIP requires a per-application deployment (each application using its own SI...