Detection of denial of service attacks
Embodiments are directed to monitoring network traffic over a network using one or more network monitoring computers. A monitoring engine may be instantiated to perform actions, including: monitoring network traffic to identify client requests provided by clients and server responses provided by servers in response to the client requests; determining request metrics associated with the client requests; and determining response metrics associated with the server responses. An analysis engine may be instantiated that performs actions, including: comparing the request metrics with the response metrics; determining atypical behavior associated with the clients based on the comparison such that the atypical behavior includes an absence of adaption by the clients to changes in the server responses; and providing alerts that may identify the clients be associated with the atypical behavior.
1. A method for monitoring network traffic using one or more network computers over one or more networks, wherein execution of instructions by the one or more networking computers perform the method comprising:
comparing one or more request metrics for a plurality of requests to one or more previously determined request metrics to identify each client associated with at least one request metric that is non-equivalent to the one or more previously determined request metrics, wherein the identification is based on a high disparity in computational resources employed to provide responses correlated to one or more of the plurality of requests; and
in response to determining atypical adaptation to one or more prearranged modifications by one or more identified clients, performing further actions including:
providing a risk score for each identified client that provides atypical adaptation to the one or more prearranged modifications, wherein the risk score is increased based on an increase in an amount of atypical adaptation over time, and wherein the risk score is decreased based on a decrease in the amount of atypical adaptation over time; and
providing a notification of the atypical adaptation to a user.
2. The method of claim 1 , further comprising:
providing one or more prearranged modifications to at least a portion of a plurality of responses that are provided by one or more servers to at least a portion of the plurality of requests provided by each identified client.
3. The method of claim 1 , further comprising:
monitoring internal network traffic within the one or more networks or a portion of a network to identify each internal client that is associated with one or more internal attacks.
4. The method of claim 1 , further comprising:
monitoring network traffic that occurs inside a trusted network; and
collecting the one or more request metrics and one or more response metrics based on the network traffic that occurs inside the trusted network.
5. The method of claim 1 , wherein the atypical adaptation, further comprises:
identifying the atypical adaptation as a denial of service (DOS) attack on the network.
6. The method of claim 1 , further comprising:
providing client side instrumentation to one or more portions of the plurality of requests to compare one or more of an operational state or a status of one or more web pages to one or more of a client request rate or a transaction rate.
7. The method of claim 1 , further comprising:
employing one or more regular expressions to identify one or more of an application or an application protocol that is associated with one or more portions of the plurality of requests.
8. A network monitoring computer (NMC) for monitoring network traffic, comprising:
a memory that stores at least instructions; and
one or more processors that execute instructions that perform actions, including:
comparing one or more request metrics for a plurality of requests to one or more previously determined request metrics to identify each client associated with at least one request metric that is non-equivalent to the one or more previously determined request metrics, wherein the identification is based on a high disparity in computational resources employed to provide responses correlated to one or more of the plurality of requests; and
in response to determining atypical adaptation to one or more prearranged modifications by one or more identified clients, performing further actions including:
providing a risk score for each identified client that provides atypical adaptation to the one or more prearranged modifications, wherein the risk score is increased based on an increase in an amount of atypical adaptation over time, and wherein the risk score is decreased based on a decrease in the amount of atypical adaptation over time; and
providing a notification of the atypical adaptation to a user.
9. The NMC of claim 8 , further comprising:
providing one or more prearranged modifications to at least a portion of a plurality of responses that are provided by one or more servers to at least a portion of the plurality of requests provided by each identified client.
10. The NMC of claim 8 , further comprising:
monitoring internal network traffic within the one or more networks or a portion of a network to identify each internal client that is associated with one or more internal attacks.
11. The NMC of claim 8 , further comprising:
monitoring network traffic that occurs inside a trusted network; and
collecting the one or more request metrics and one or more response metrics based on the network traffic that occurs inside the trusted network.
12. The NMC of claim 8 , wherein the atypical adaptation further comprises:
identifying the atypical adaptation as a denial of service (DOS) attack on the network.
13. The NMC of claim 8 , further comprising:
providing client side instrumentation to one or more portions of the plurality of requests to compare one or more of an operational state or a status of one or more web pages to one or more of a client request rate or a transaction rate.
14. The NMC of claim 8 , further comprising:
employing one or more regular expressions to identify one or more of an application or an application protocol that is associated with one or more portions of the plurality of requests.
15. A processor readable non-transitory storage media that includes instructions for monitoring network traffic using one or more network computers, wherein execution of the instructions by one or more networking computers perform actions, comprising:
comparing one or more request metrics for a plurality of requests to one or more previously determined request metrics to identify each client associated with at least one request metric that is non-equivalent to the one or more previously determined request metrics wherein the identification is based on a high disparity in computational resources employed to provide responses correlated to one or more of the plurality of requests; and
in response to determining atypical adaptation to one or more prearranged modifications by one or more identified clients, performing further actions including:
providing a risk score for each identified client that provides atypical adaptation to the one or more prearranged modifications, wherein the risk score is increased based on an increase in an amount of atypical adaptation over time, and wherein the risk score is decreased based on a decrease in the amount of atypical adaptation over time; and
providing a notification of the atypical adaptation to a user.
16. The processor readable non-transitory storage media of claim 15 , further comprising:
providing one or more prearranged modifications to at least a portion of a plurality of responses that are provided by one or more servers to at least a portion of the plurality of requests provided by each identified client.
17. The processor readable non-transitory storage media of claim 15 , further comprising:
monitoring internal network traffic within the one or more networks or a portion of a network to identify each internal client that is associated with one or more internal attacks.
18. The processor readable non-transitory storage media of claim 15 , further comprising:
monitoring network traffic that occurs inside a trusted network; and
collecting the one or more request metrics and one or more response metrics based on the network traffic that occurs inside the trusted network.
19. The processor readable non-transitory storage media of claim 15 , further comprises:
identifying the atypical adaptation as a denial of service (DOS) attack on the network.
20. The processor readable non-transitory storage media of claim 15 , further comprising:
providing client side instrumentation to one or more portions of the plurality of requests to compare one or more of an operational state or a status of one or more web pages to one or more of a client request rate or a transaction rate.