Many counter approaches are proposed such that to include
visualization intelligence to convey information that triggers
not only the dominating visual sensors; but also relays
network information with the composite of haptic, sound,
smell and contextual information as supporting cues for added
perception [6,7,19]. This is projected to help minimizes
influence of IT literacy in drawing inferences on network
incidents and also to cater the avenue of implication for mass
audience. However, due to randomization of network threats it
becomes more challenging to purpose curate universal
visualization techniques that is effective for heterogeneous
domains, hence this paper explores on the possibility to devise
an ubiquitous visualization framework can be deploy to at a
high abstraction level that generalize network information
perceivable by mainstream user; such framework are
envisioned to be platform independent and effortlessly plugin
into any intelligence for transcoding. The next section
attempts to review samples of existing networking tools from
the perspective of helpfulness impact towards the general
network community of varied proficiency level instead of the
conventional numbers oriented accuracy metrics.
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