9783848443345 - Optimal Guard Node Placement Using SGLD and Energy Factor: An optimal plan for placement of guard nodes against DDoS attacks with energy consumption at each node di... (7 risultati)

Paperback. Condizione: Brand New. 68 pages. 8.66x5.91x0.16 inches. In Stock.

Paperback. Condizione: Brand New. 68 pages. 8.66x5.91x0.16 inches. In Stock.

Taschenbuch. Condizione: Neu. Optimal Guard Node Placement Using SGLD and Energy Factor | An optimal plan for placement of guard nodes against DDoS attacks with energy consumption at each node | Sammee Mushtaq Bazaz (u. a.) | Taschenbuch | 68 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9783848443345 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Execution of distributed denial-of-service (DDoS) attacks requires little effort on the attacker's side, since a vast number of insecure machines provide fertile ground for attack zombies. These attacks can easily be downloaded and deployed. On the other hand, prevention of the attack or the response and trace back of agents is extremely difficult due to a large number of attacking machines, the use of source-address spoofing and the similarity between legitimate and attack traffic. The objective of this work is to develop algorithm that will help optimal placement of guard node (GN) in different network topologies. If we use all nodes in the networks as Guarding nodes (GN), then the overall efficiency of the network as well as the energy of nodes will decrease rapidly. We study how to optimize the placement of these nodes so that they can detect DDoS attack on earliest, while using minimum number of GN, and keep the cost factor and overhead as low as possible with minimal energy utilization. 68 pp. Englisch.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bazaz Sammee MushtaqBoth hold there BS degree in Computer Science from The UAJ&K in 2011. Currently, both pursuing there M.PHIL. in Computer Science.Sammee Mushtaq Bazaz is currently working as Research Scholar & Visiting Lecturer in.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Execution of distributed denial-of-service (DDoS) attacks requires little effort on the attacker's side, since a vast number of insecure machines provide fertile ground for attack zombies. These attacks can easily be downloaded and deployed. On the other hand, prevention of the attack or the response and trace back of agents is extremely difficult due to a large number of attacking machines, the use of source-address spoofing and the similarity between legitimate and attack traffic. The objective of this work is to develop algorithm that will help optimal placement of guard node (GN) in different network topologies. If we use all nodes in the networks as Guarding nodes (GN), then the overall efficiency of the network as well as the energy of nodes will decrease rapidly. We study how to optimize the placement of these nodes so that they can detect DDoS attack on earliest, while using minimum number of GN, and keep the cost factor and overhead as low as possible with minimal energy utilization.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Execution of distributed denial-of-service (DDoS) attacks requires little effort on the attacker's side, since a vast number of insecure machines provide fertile ground for attack zombies. These attacks can easily be downloaded and deployed. On the other hand, prevention of the attack or the response and trace back of agents is extremely difficult due to a large number of attacking machines, the use of source-address spoofing and the similarity between legitimate and attack traffic. The objective of this work is to develop algorithm that will help optimal placement of guard node (GN) in different network topologies. If we use all nodes in the networks as Guarding nodes (GN), then the overall efficiency of the network as well as the energy of nodes will decrease rapidly. We study how to optimize the placement of these nodes so that they can detect DDoS attack on earliest, while using minimum number of GN, and keep the cost factor and overhead as low as possible with minimal energy utilization.