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NEW QUESTION: 1
Behavioral-based systems are also known as?
A. Rule-based IDS
B. Pattern matching systems
C. Misuse detective systems
D. Profile-based systems
Answer: D
Explanation:
There are two complementary approaches to detecting intrusions, knowledge-based approaches and behavior-based approaches. This entry describes the second approach. It must be noted that very few tools today implement such an approach, even if the founding Denning paper {D. Denning, An Intrusion Detection Model, IEEE transactions on software engineering} recognizes this as a requirement for IDS systems.
Behavior-based intrusion detection techniques assume that an intrusion can be detected by observing a deviation from normal or expected behavior of the system or the users. The model of normal or valid behavior is extracted from reference information collected by various means. The intrusion detection system later compares this model with the current activity. When a deviation is observed, an alarm is generated. In other words, anything that does not correspond to a previously learned behavior is considered intrusive. Therefore, the intrusion detection system might be complete (i.e. all attacks should be caught), but its accuracy is a difficult issue (i.e. you get a lot of false alarms).
Advantages of behavior-based approaches are that they can detect attempts to exploit new and unforeseen vulnerabilities. They can even contribute to the (partially) automatic discovery of these new attacks. They are less dependent on operating system-specific mechanisms. They also help detect 'abuse of privileges' types of attacks that do not actually involve exploiting any security vulnerability. In short, this is the paranoid approach:
Everything which has not been seen previously is dangerous.
The high false alarm rate is generally cited as the main drawback of behavior-based techniques because the entire scope of the behavior of an information system may not be covered during the learning phase. Also, behavior can change over time, introducing the need for periodic online retraining of the behavior profile, resulting either in unavailability of the intrusion detection system or in additional false alarms. The information system can undergo attacks at the same time the intrusion detection system is learning the behavior.
As a result, the behavior profile contains intrusive behavior, which is not detected as anomalous.
Herve Debar
IBM Zurich Research Laboratory
The following answers are incorrect:
Pattern matching systems are signature-based (e.g. Anti-virus).
Misuse detection systems is another name for signature-based IDSs.
Rule-based IDS is a distractor.
The following reference(s) were/was used to create this question:
Shon Harris AIO - 4th edition, Page 254
and
http://www.sans.org/security-resources/idfaq/behavior_based.php
NEW QUESTION: 2
サーバー管理者は、RESTAPIを使用して管理アプリケーションでセッションIDを作成しています。
どのコマンドを変更する必要がありますか？
A. Content-Type in header section
B. Uniform Resource Locator (URL)
C. Login credentials in payload section
D. GET method
Answer: A
NEW QUESTION: 3
Note: This question is part of a series of questions that use the same scenario. For your
convenience, the scenario is repeated in each question. Each question presents a different goal
and answer choices, but the text of the scenario is exactly the same in each question in this series.
You have five servers that run Microsoft Windows 2012 R2. Each server hosts a Microsoft SQL Server
instance. The topology for the environment is shown in the following diagram.
You have an Always On Availability group named AG1. The details for AG1 are shown in the following
table.
Instance1 experiences heavy read-write traffic. The instance hosts a database named OperationsMain that
is four terabytes (TB) in size. The database has multiple data files and filegroups. One of the filegroups is
read_only and is half of the total database size.
Instance4 and Instance5 are not part of AG1. Instance4 is engaged in heavy read-write I/O.
Instance5 hosts a database named StagedExternal. A nightly BULK INSERT process loads data into an
empty table that has a rowstore clustered index and two nonclustered rowstore indexes.
You must minimize the growth of the StagedExternal database log file during the BULK INSERT
operations and perform point-in-time recovery after the BULK INSERT transaction. Changes made must
not interrupt the log backup chain.
You plan to add a new instance named Instance6 to a datacenter that is geographically distant from Site1
and Site2. You must minimize latency between the nodes in AG1.
All databases use the full recovery model. All backups are written to the network location \\SQLBackup\. A
separate process copies backups to an offsite location. You should minimize both the time required to
restore the databases and the space required to store backups. The recovery point objective (RPO) for
each instance is shown in the following table.
Full backups of OperationsMain take longer than six hours to complete. All SQL Server backups use the
keyword COMPRESSION.
You plan to deploy the following solutions to the environment. The solutions will access a database named
DB1 that is part of AG1.
Reporting system: This solution accesses data inDB1with a login that is mapped to a database user
that is a member of the db_datareader role. The user has EXECUTE permissions on the database.
Queries make no changes to the data. The queries must be load balanced over variable read-only
replicas.
Operations system: This solution accesses data inDB1with a login that is mapped to a database user
that is a member of the db_datareader and db_datawriter roles. The user has EXECUTE permissions
on the database. Queries from the operations system will perform both DDL and DML operations.
The wait statistics monitoring requirements for the instances are described in the following table.
You need to reduce the amount of time it takes to backup OperationsMain.
What should you do?
A. Modify the full database backups script to stripe the backup across multiple backup files.
B. Modify the backup script to use the keyword SKIP in the FILE_SNAPSHOT statement.
C. Modify the backup script to use the keyword SKIP in the WITH statement
D. Modify the backup script to use the keyword NO_COMPRESSION in the WITH statement.
Answer: A
Explanation:
Explanation/Reference:
Explanation:
One of the filegroup is read_only should be as it only need to be backup up once. Partial backups are
useful whenever you want to exclude read-only filegroups. A partial backup resembles a full database
backup, but a partial backup does not contain all the filegroups. Instead, for a read-write database, a partial
backup contains the data in the primary filegroup, every read-write filegroup, and, optionally, one or more
read-only files. A partial backup of a read-only database contains only the primary filegroup.
From scenario: Instance1 experiences heavy read-write traffic. The instance hosts a database named
OperationsMainthat is four terabytes (TB) in size. The database has multiple data files and filegroups. One
of the filegroups is read_only and is half of the total database size.
References: https://docs.microsoft.com/en-us/sql/relational-databases/backup-restore/partial-backups-sql-
server