Posts Tagged ‘Software’

Affected Applications from “A Survey Of Mobile Device Security: Threats, Vulnerabilities and Defenses”

The author surveyed over 230 applications (the full list of applications ,can be found in A Survey Of Mobile Device Security: Threats, Vulnerabilities and Defenses), including applications in the “Top” categories on the iTunes store to determine what type of information could be extracted from auditing packet streams. The results were quite surprising. To perform [...]

A Survey Of Mobile Device Security: Threats, Vulnerabilities and Defenses

By David Stites and Anitha Tadimalla {dstites, atadimalla}@uccs.edu University of Colorado at Colorado Springs Abstract— Mobile devices, such as smartphones and PDAs have become increasingly popular with consumers and often provide essential functionality in our everyday life. Usually these mobile devices contain lots of sensitive information, such as addresses, contacts, ingoing/outgoing call logs, SMS messages, [...]

Rumors of a “Home Button”-less iPad2 and iPhone5

Normally, I think that simpler is better. I enjoy simple things and not just necessarily things like the smell of cut grass, an ice cold beer at a friends BBQ, the first snowfall of winter or reading a book. After all, Occam was on to something (the law of succinctness is a principle which generally [...]

A Practical Survey of Search Engine Optimization Techniques

This research article was co-authored by David Stites (dstites[at]uccs.edu) and Jonathan Snyder (jsynder4[at]uccs.edu) Abstract—A common problem for many web sites is appearing as a high ranking in search engines.  Many searchers make quick decisions about which result they will choose and unless a web site appears within a certain threshold of the top rankings, the [...]

Decision Tree Learning Acting As A Cardiologist

Abstract—Decision trees are one of the most widely used methods of inductive inference.  They can be used to learn discrete or continuous valued hypotheses and create compact rules for evaluation of a set of data.  An advantage of decision  and regression trees is that they are robust to noisy data, which makes them perfectly suited [...]