Über dieses Produkt
- KurzbeschreibungSecurity issues in Wireless sensor networks (WSNs) <br>mainly come from attacks. In general, the attacks in <br>WSNs can be classified as external attacks and <br>internal attacks. In an external attack, the <br>attacking node is not an authorized participant of <br>the sensor network. Cryptography and other security <br>methods can prevent some of external attacks. <br>However, node compromise, the major and unique <br>problem that leads to internal attacks, will <br>eliminate all the efforts. Knowing the probability <br>of node compromise will help systems to detect and <br>defend against it. Although there are some <br>approaches that can be used to detect and defend <br>against node compromise, few of them have the <br>ability to estimate the probability of node <br>compromise. Hence, we develop basic uniform, basic <br>gradient, intelligent uniform and intelligent <br>gradient models for node compromise distribution in <br>order to adapt to different application <br>environments. These models allow systems to estimate <br>the probability of node compromise. Applying these <br>models in system security designs can improve system <br>security and decrease the overheads nearly in every <br>security area.
- AutorXiangqian Chen
- VerlagLAP Lambert Academic Publishing
- Seiten108 Seiten
- Gewicht177 g
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