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The ListView now has a scroll bar as shown in figure 11.3. But the ListView itself is empty the data is there, but we still can t see it. The problem is that we have an array of Process objects, but the ListView has no idea how we want them displayed. We need a template. ASP.NET developers should feel right at home here because WPF templates are similar to ASP.NET templates. Visual Studio 2008 doesn t have a template editor, so it s time to expand the XAML editor. To explain what we want to see and how we want to see it to this ListView, we need to create a DataTemplate describing it. ListView has a property called ItemTemplate that lets us tell the control how we want our data displayed. We add the following XAML within the Figure 11.3 The window shows evidence of data ListView tag: with a scrollbar, but nothing is showing up.

localtime( ), gmtime( ), time( ), asctime( )

Passive Optical Networks (PONs)

char *ctime(const time_t *time)

using System; using System.Windows.Data;

The prototype for ctime( ) is in <timeh> The ctime( ) function returns a pointer to a string of the form day month date hours:minutes:seconds year given a pointer to the calendar time The calendar time is generally obtained through a call to time( ) The ctime( ) function is equivalent to

The buffer used by ctime( ) to hold the formatted output string is a statically allocated character array and is overwritten each time the function is called If you wish to save the contents of the string, it is necessary to copy it elsewhere

Such a scenario does not need to be a result of a malicious activity, since, due to the number of concurrent SSL requests, the ever-growing data traffic capacity might eventually cause this situation on its own

This program displays the local time defined by the system:

IValueConverter interface namespace ProcessMonitor { public class NumberToFormattedTextValueConverter: IValueConverter { public object Convert(object value, Type targetType, object parameter, System.Globalization.CultureInfo culture) { Int64 size = System.Convert.ToInt64(value); Value passed size = size / 1024; as an object

#include <stdioh> #include <timeh> #include <stddefh> int main(void) { time_t lt; lt = time(NULL); printf(ctime(<)); return 0; }

A significant share of everyday rudimentary data transmissions protocols do not provide means for per-data transaction protection Global keys and security mechanisms are typically utilized and can be easily compromised in, for example, DNS data transfers, PPP authentication messages, and instant messaging systems, leading to an increasing unwillingness to use them in the first place Higher-level security protocols in internal EPON data transactions (between ONU and OLT) have also been proposed, though such a proposal has obvious shortcomings: in order to assure full system interoperability, a single security mechanism would have to be selected and agreed upon for implementation; additionally, ONUs and OLTs would need to inherently become IP packet routers, operating at protocol stack Layer 3 and above, and thus limiting Ethernet versatility while not preventing such simple forms of attacks as data mining, passive monitoring, and so on, which can be avoided if a strict link-layer security mechanism is employed

localtime( ), gmtime( ), time( ), asctime( )

if (size < 1024) return size.ToString() + " KiB"; else return (size / 1024).ToString() + " MiB"; }

double difftime(time_t time2, time_t time1)

The prototype for difftime( ) is in <timeh> The difftime( ) function returns the difference, in seconds, between time1 and time2 That is, it returns time2 time1

public object ConvertBack(object value, Type targetType, object parameter, System.Globalization.CultureInfo culture) { throw new NotImplementedException(); Non-implemented } convert method } }

In order to avoid most common problems with server overload, transition problems, system interoperability, security threats, and lack of data privacy, it is necessary to make PONs, and EPONs specifically, immune to most common types of security breaches, including passive monitoring, data mining, masquerading, ToS, and certain variants of DoS or distributed DoS (DDoS) attacks Hardware-level attacks cannot be avoided without introducing a dynamic wavelength management system, which is currently both expensive and unwieldy A lot of work is, therefore, required to provide viable and simultaneously efficient means for assuring subscriber data privacy and authentication, as well as antimonitoring measures, preventing any attempts at passive data-mining techniques, which typically constitute the first step in launching a more destructive attack on the EPON system