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Sometimes, contractors are actually the individuals performing the network attack This was the case with Kevin Mitnick in many of his attacks in the 1990s He was employed as a contractor and proceeded to attack the organization and steal proprietary knowledge, costing companies millions of dollars by some estimates In many of these cases, he used social engineering methods to acquire the information The fastest solution to the contractor dilemma is to be sure to give contractors only the level of access they need to get their jobs done and then train employees well in identifying social engineering or in protecting company interests However, because advanced social engineers are very skilled at their craft, you must consider that it is very likely that a user will give up valuable information to these individuals Storage-level encryption and intrusion prevention or monitoring systems may help in these scenarios

t the time of this writing, there are in excess of 82,000 standard SAP transaction codes in mySAP ERP The transaction codes listed here are not only those used in the business process, or master data maintenance, but are also transaction codes relating to configuration Instead of removing irrelevant transaction codes, I have left them in this list in case anyone wanted a quick reference

Note Although the Oracle data dictionary consists of public synonyms, based on views, based on underlying (undocumented) tables, we sometimes just refer to data dictionary tables for convenience.

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Employees It is not uncommon to walk down the hallway of an organization and hear one employee loudly calling out his username and password to another employee in a different cubicle or work area We tend to develop trust for people we work with on a regular basis, and this often causes us to take actions we really shouldn t take High trust is a very good thing for productive work, but it can also lead to the sharing of sensitive information that should not be shared Many users and IT professionals do not understand that the motivation behind individual user accounts and passwords (or any other individual authentication mechanism) is more than just to give them the right access to the right things That s certainly part of it, but another part is that of auditing When a user gives his or her account and password to another user, the ability to link actions to individuals is lost Better training programs are needed in many organizations to resolve this issue In the end, social engineering is a very powerful attack method that cannot be protect against by technologies alone This attack method takes advantage of the ever-present human factor, and to protect against it, we must improve our humans and not just our technologies Better training is required, and refresher training classes may also be needed The good news is that you can usually provide the needed awareness training class in a forty-five- to ninety-minute window once or twice a year It can even be incorporated into annual employee meetings, but it must not be forgotten

V V+01 V+02 V+03 V+11 V+21 V+22 V+23 V-01 V-02 V-03 V-04 V-05 V-06 V-07 V-08

This appendix starts with some commonly used data dictionary views, and then lists views organized by the four separate view categories, which you can recognize by their prefix: ALL views have information about all accessible data. Regular database users have access to these views. USER views have information about your own data. Regular database users have access to these views. DBA views have database-wide information. You need DBA privileges (or some specific system privileges) to access these views. V$ views are dynamic performance views. You need DBA privileges (or some specific system privileges) to access these views. The first three categories are commonly referred to as static to distinguish them from the fourth category, the dynamic performance views. This appendix lists the names of the data dictionary views, without any column descriptions. For column details, you can use the SQL*Plus DESCRIBE command or query the DICT_COLUMNS data dictionary view (see Listing 3-11 in 3 of this book). The view descriptions themselves are also very concise, and they may refer to concepts or terms not covered anywhere in this book. See Oracle Reference for further data dictionary details and explanations.

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