Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Hacking on the hoof

Authors: S. Gold;

Hacking on the hoof

Abstract

'Grey hat' apps are a new phenomenon in software that enable street hackers to delve into our smartphone and access our data, and more besides. Wireless analysis applications are plentiful across Windows, Mac and Linux operating systems. Netstumbler, PRTG Network Monitor, and Wireshark all do the same sort of job. However, lugging around a laptop is not as easy as toting a slimline smartphone. Now the open nature of Google's Android, coupled with the immense portability of smartphones, has created a new genre of wireless apps that do everything the laptop applications do, but on a wider scale. Since the end of 2011, after the release of version 4.x and 5.x of the feature-rich Apple portable operating system known as iOS, a number of wireless analysis apps have started appearing on the iPhone and iPad platforms. Conspiracy theorists have attributed the arrival of interrogative Wi-Fi network apps for the Apple portable operating system platform to the passing of former CEO Steve Jobs; but it seems that the powerful upgrade of iOS 5.x in October 2011 has given programmers the ability to dive deep into the iPhone and iPad's innermost workings to launch a species of so-called Prosumer Interrogative Network (PIN) apps. Three of these new apps SharkforRoot (Android), SubNetlnsight (iOS) and Fing (Android and iOS) also differ from their desktop peers in covering several network analysis bases on an all-in-one basis. To use a Western movie analogy, these apps can be used for 'white hat' hacking and network analysis, as well as 'black hat' hacking and cyber criminality a development that marks a new cause for concern among the mobile security sector.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    2
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!