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NEW QUESTION: 1
A distributed denial of service attack can BEST be described as:
A. Multiple attackers attempting to gain elevated privileges on a target system.
B. Users attempting to input random or invalid data into fields within a web browser application.
C. Multiple computers attacking a single target in an organized attempt to deplete its resources.
D. Invalid characters being entered into a field in a database application.
Answer: C
Explanation:
A Distributed Denial of Service (DDoS) attack is an attack from several different computers targeting a single computer.
One common method of attack involves saturating the target machine with external communications requests, so much so that it cannot respond to legitimate traffic, or responds so slowly as to be rendered essentially unavailable. Such attacks usually lead to a server overload.
A distributed denial-of-service (DDoS) attack occurs when multiple systems flood the bandwidth or resources of a targeted system, usually one or more web servers. Such an attack is often the result of multiple compromised systems (for example a botnet) flooding the targeted system with traffic. When a server is overloaded with connections, new connections can no longer be accepted. The major advantages to an attacker of using a distributed denial-of-service attack are that multiple machines can generate more attack traffic than one machine, multiple attack machines are harder to turn off than one attack machine, and that the behavior of each attack machine can be stealthier, making it harder to track and shut down. These attacker advantages cause challenges for defense mechanisms. For example, merely purchasing more incoming bandwidth than the current volume of the attack might not help, because the attacker might be able to simply add more attack machines. This after all will end up completely crashing a website for periods of time.
Malware can carry DDoS attack mechanisms; one of the better-known examples of this was MyDoom. Its DoS mechanism was triggered on a specific date and time. This type of DDoS involved hardcoding the target IP address prior to release of the malware and no further interaction was necessary to launch the attack.

NEW QUESTION: 2
Ihr Auswahlbild kann bei welcher Veranstaltung geändert werden?
A. AM AUSWAHLBILDSCHIRMAUSGANG
B. Keine der oben genannten
C. AT SELECTION-SCREEN ON <Feldname>
D. BEI AUSWAHL
Answer: A

NEW QUESTION: 3
Which one of the following four statements about market risk is correct? Market risk is
A. The maximum likely loss in the market value of portfolios and financial instruments over a given period
of time.
B. The exposure to an adverse change in the credit quality in portfolios or of financial instruments.
C. The exposure to an adverse change in the market value of portfolios and financial instruments caused by
a change in market prices or rates.
D. The maximum likely loss in the market value of portfolios and financial instruments caused by the
failure of the counterparty to meet its obligations.
Answer: C

NEW QUESTION: 4
Which of the following is an example of a false positive?
A. A biometric iris scanner rejects an authorized user wearing a new contact lens.
B. A user account is locked out after the user mistypes the password too many times.
C. The IDS does not identify a buffer overflow.
D. Anti-virus identifies a benign application as malware.
Answer: D
Explanation:
A false positive is an error in some evaluation process in which a condition tested for is mistakenly found to have been detected.
In spam filters, for example, a false positive is a legitimate message mistakenly marked as UBE --unsolicited bulk email, as junk email is more formally known. Messages that are determined to be spam -- whether correctly or incorrectly -- may be rejected by a server or client-side spam filter and returned to the sender as bounce e-mail.
One problem with many spam filtering tools is that if they are configured stringently enough to be effective, there is a fairly high chance of getting false positives. The risk of accidentally blocking an important message has been enough to deter many companies from implementing any anti-spam measures at all.
False positives are also common in security systems. A host intrusion prevention system (HIPS), for example, looks for anomalies, such as deviations in bandwidth, protocols and ports. When activity varies outside of an acceptable range
- for example, a remote application attempting to open a normally closed port -- an intrusion may be in progress.
However, an anomaly, such as a sudden spike in bandwidth use, does not guarantee an actual attack, so this approach amounts to an educated guess and the chance for false positives can be high.
False positives contrast with false negatives, which are results indicating mistakenly that some condition tested for is absent.
Incorrect Answers:
B. If an authorized user is wearing a new contact lens, the biometric iris scanner would not recognize it and would correctly deny access. This is not a false positive.
C. If a user mistypes their password too many times and an account lockout policy is configured, the account would correctly be locked if the policy condition (number of failed login attempts) is met. This is not a false positive.
D. If an IDS (intrusion detection system) does not identify a buffer overflow, this is not a false positive. A 'positive' result would be the IDS recognizing the buffer overflow. A false positive would be the IDS identifying something as a buffer overflow when a buffer overflow doesn't exist.
References:
http://whatis.techtarget.com/definition/false-positive