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A wide variety of command-line tools are included with Leopard that can be used with forensic investigations and primarily the acquisition of forensic images. You can use the mount command to mount connected disks to a forensic system. To mount a system as read-only for inspection, you can use the mount r command. Once the disk is mounted, you will typically want to use dd on the drive. The dd command is a method for creating disk images that can be used for acquiring a forensic disk image. The dd command is preferred over Disk Utility, because it can create a disk image without being required to actually mount a drive, which, as discussed, can potentially contaminate the drive for future use as evidence. The dd command can also split disk images into segments, allowing you to burn the image to optical media or place it onto hard drives to present evidence to another party for their own forensic investigation. Once the disk has been imaged, you can move on to building a hash of the drive using the openssl command. Be aware, though, that unless you know exactly what you are doing with the command-line tools, you run the risk of contaminating your evidence. This is one instance where the danger of breaking your chain of custody may outweigh the cost of purchasing a package like MacForensicsLab.

You have an entity type with a DateTime property and you want to group instances of this type based on just the date portion of the property.

Each list is maintained separately from other lists. It is not possible to combine all lists of one type into one master list.

Summary

Let s say you have a Registration entity type in your model and the Registration type has a DateTime property. Your model might look like the one in Figure 3-16.

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In this chapter we took a cursory look at the delicate art of forensics. We also looked heavily at using MacForensicsLab to perform the acquisition and analysis of a drive, but we wouldn t want to take anything away from many of the other solutions out there. They are almost all fantastic. What software cannot do is actually parse through every single file and folder and return all of the relevant data. This could be because a date is stored in some kind of encoded format, or because it s in an image. Manual analysis of the acquired data will net a far more accurate account of events if done so in the hands of a well-trained forensics analyst. Use this chapter as a reference to perform front-line forensics analysis or as a reference for porting existing forensics skills from Windows to Mac OS X. However, if you have an in-depth investigation that you would like to perform consult a professional in that field.

Figure 3-16. A model with a single Registration entity type. The entity type s RegistrationDate property is a DateTime. We want to group all the registrations by just the date portion of the RegistrationDate property. You might be tempted in LINQ to group by RegistrationDate.Date. Although this will compile, you will receive a runtime error complaining that Date can t be translated into SQL. To group by just the date portion of the RegistrationDate, follow the pattern in Listing 3-18. Listing 3-18. Grouping by the date portion of a DateTime property using (var context = new EFRecipesEntities()) { context.Registrations.AddObject(new Registration { StudentName = "Jill Rogers", RegistrationDate = DateTime.Parse("12/03/2009 9:30 pm") }); context.Registrations.AddObject(new Registration {

Each type of PIMList can contain an arbitrary number of categories. Categories logically group together groups of items. In a ToDo list, you might have separate categories for Sales, Research, Projects, and Personal. Then, when adding a new ToDo item, you could choose to assign it to an appropriate category. Note: Preloaded BlackBerry applications sometimes refer to a category as a Filter. Categories are entirely optional. PIMList includes a special type of category called UNCATEGORIZED that is associated with every item in the list that does not belong to any category. If you do choose to assign a category to an item, that category must already exist. You can determine this by querying the associated list as shown below. String[] categories = contacts.getCategories(); Categories in PIM are more like tags than folders. Each individual item might belong to zero, one, or many categories. If you need to pick up flowers for a co-worker s birthday party, you might file that in your ToDo list under both Projects and Personal. Later, when you filter by Projects, Personal, or all, you will see that reminder. Figure 6-2 shows a theoretical user s address book as organized by categories.

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