Andere Kunden interessierten sich auch für
![Modeling and Evaluating Denial of Service Attacks for Wireless and Mobile Applications]( "Modeling and Evaluating Denial of Service Attacks for Wireless and Mobile Applications")
Modeling and Evaluating Denial of Service Attacks for Wireless and Mobile Applications37,99 €![Distributed Denial of Service Attacks]( "Distributed Denial of Service Attacks")
Distributed Denial of Service Attacks159,95 €![Distributed Denial of Service Attack and Defense]( "Distributed Denial of Service Attack and Defense")
Distributed Denial of Service Attack and Defense37,99 €![On Boolean Functions to Resist Algebraic Attacks]( "On Boolean Functions to Resist Algebraic Attacks")
On Boolean Functions to Resist Algebraic Attacks38,99 €![TRAFFIC ANALYSIS ATTACKS AND COUNTERMEASURES]( "TRAFFIC ANALYSIS ATTACKS AND COUNTERMEASURES")
TRAFFIC ANALYSIS ATTACKS AND COUNTERMEASURES32,99 €![Attacks on Wireless LANs]( "Attacks on Wireless LANs")
Attacks on Wireless LANs38,99 €![Denial-of-service Attack]( "Denial-of-service Attack")
Denial-of-service Attack22,99 €
Distributed Denial of Service (DDoS) attacks are
attempts to overwhelm a computer system in order to
deny access by legitimate users. They are generally
unstoppable, but there is a good deal of on-going
research on methods to reduce their negative effects.
This paper will deal with the design of a model that
simulates such an attack. The simulation model is
then used to study possible ways to defend against
these attacks. Three experiments are run: 1) using a
priority queue to sort messages from clients based on
how many connections they have open on the server; 2)
limiting the number of connections each client can
create; and 3) having the server forcefully delete
the oldest established connection, whenever its
connection table becomes full. Results show that
method 1 is totally ineffective while method 2
somewhat improves the overall performance of the
system. However, method 3, combined with method 2,
produces significantly improved performance against a
DDoS attack.
attempts to overwhelm a computer system in order to
deny access by legitimate users. They are generally
unstoppable, but there is a good deal of on-going
research on methods to reduce their negative effects.
This paper will deal with the design of a model that
simulates such an attack. The simulation model is
then used to study possible ways to defend against
these attacks. Three experiments are run: 1) using a
priority queue to sort messages from clients based on
how many connections they have open on the server; 2)
limiting the number of connections each client can
create; and 3) having the server forcefully delete
the oldest established connection, whenever its
connection table becomes full. Results show that
method 1 is totally ineffective while method 2
somewhat improves the overall performance of the
system. However, method 3, combined with method 2,
produces significantly improved performance against a
DDoS attack.