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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Janakiraman, S. Rajasoundaran, S. Narayanasamy, P. |
| Copyright Year | 2012 |
| Description | Author affiliation: Dept. of CSE Anna University, Chennai, Tamil Nadu, India (Narayanasamy, P.) || Dept. of CSE Anna University of Technology Chennai Tamil Nadu, India (Janakiraman, S.; Rajasoundaran, S.) |
| Abstract | Wireless Sensor Networks (WSNs) are the collection of self — organizing sensor nodes deployed in various physical environments statically or dynamically depends upon the application. In wireless environment these sensor nodes are defenseless or vulnerable against attacks. To solve this problem the Intrusion Detection System (IDS) has been used and for wireless networks, Distributed Intrusion Detection System (DIDS) has been used. But this is not sufficient to achieve maximum resiliency against attacks. Considering the issues here a new Dynamic Intrusion Detection Protocol model (DYDOG) has been designed based on data flow for High Error Rate Wireless Sensor Networks (WSNs). Here the Dynamic Intrusion Detection nodes are deployed based on the proposed protocol model which will acts as forwarding node as well as Intrusion Monitoring Node with respect to the data flow through the sensor nodes. The Dynamic Intrusion Detection Nodes are selected from the one-hop or two hop neighbor's non-forwarding node list by using Secure Session Key Management approach without deploying separate Intrusion Monitoring Nodes. This makes the network is more flexible and dynamic against various attacks and provide maximum monitoring node's availability with better resiliency in high error rate Wireless Sensor Networks (WSNs). The monitoring nodes are dynamically changed in its behavior within the session itself depends on mobility and based on proposed conditions. For an attacker it will create problem to identify and attack the Dynamic Intrusion Detection Nodes within the limited session. By this protocol the attacks and compromised nodes can be effectively identified at runtime in high data rate static or dynamic Wireless Sensor Networks (WSNs). Now the research is going on On-Line Updates for local agents and global agents individually in high data rate Wireless Sensor Networks (WSNs), when the network has maximum mobility and maximum data rate. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 318639 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467302708 |
| e-ISBN | 9781467302739 |
| DOI | 10.1109/ICCCA.2012.6179178 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-02-22 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wireless communication Intrusion Detection Wireless sensor networks Heuristic algorithms Intrusion detection Routing Dynamic Intrusion Detection Nodes Key management Noise measurement Wireless Sensor Networks Monitoring |
| Content Type | Text |
| Resource Type | Article |
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