PoK

Author:Kun Sun,Pai Peng,Peng Ning,Cliff Wang

Description:
In wireless sensor networks, clustering sensor nodes into small groups is an effective technique to achieve scalability, self organization, power saving, channel access, routing, etc. A number of cluster formation protocols have been proposed recently. However, most existing protocols assume benign environments, and are vulnerable to attacks from malicious nodes. In this paper, we propose a secure distributed cluster formation protocol to organize sensor networks into mutually disjoint cliques. Our protocol has the following properties: (1) normal nodes are divided into mutually disjoint cliques; (2) all the normal nodes in each clique agree on the same clique memberships; (3) while external attackers can be prevented from participating in the cluster formation process, inside attackers that do not follow the protocol semantics can be identified and removed from the network; (4) the communication overhead is moderate; (5) the protocol is fully distributed.

Author:Cliff Wang,An Liu, Peng Ning

Description:
Wireless sensor networks can support a wide variety of applications ranging from military surveillance to health care clinic monitoring. To carry out many of these tasks, a wireless sensor network must obtain accurate location for each sensor. A number of localization schemes have been developed to allow each sensor node to acquire its location. However, most of these techniques assume benign environments, and thus cannot survive malicious attacks in hostile environments where external and/or compromised nodes may launch attacks. This paper proposes a new computationally efficient and resilient localization scheme based the clustering of benign location reference anchors. Moreover, this paper reports both simulation and field experiments using a test bed of MICAz motes performed to compare the proposed approach with several recent secure localization schemes. The experimental results demonstrate that the proposed scheme has the fastest execution time among all resilient localization schemes that can be used for the current generation of sensor platforms (e.g., MICA series of motes).

Author:Cliff Wang,An Liu, Peng Ning

Description:
To support a wide variety of applications ranging from military surveillance to health care clinic monitoring, a wireless sensor network must obtain accurate location for each sensor. A number of localization schemes have been developed to allow each sensor node to acquire its location.However, most of these techniques assume benign environments,and thus cannot survive malicious attacks in hostile environments where external and/or compromised nodes may launch attacks. This paper proposes a new computationally efficient and resilient localization scheme based on the clustering of benign location reference anchors. Moreover, this paper reports both simulation and field experiments using a test bed of MICAz motes performed to compare the proposed approach with several recent secure localization schemes. The experimental results demonstrate that the proposed scheme has the fastest execution time among all resilient localization schemes that can be used for the current generation of sensor platforms (e.g., MICA series of motes)

Author:Donggang Liu,Peng Ning, An Liu,Cliff Wang,Wenliang Kevin Du

Description:
Many sensor network applications require sensors’ locations to function correctly. Despite the recent advances, location discovery for sensor networks in hostile environments has been mostly overlooked. Most of the existing localization protocols for sensor networks are vulnerable in hostile environments. The security of location discovery can certainly be enhanced by authentication. However, the possible node compromises and the fact that location determination uses certain physical features (e.g., received signal strength) of radio signals make authentication not as effective as in traditional security applications. This paper presents two methods to tolerate malicious attacks against range based location discovery in sensor networks. The first method filters out malicious beacon signals on the basis of the “consistency” among multiple beacon signals, while the second method tolerates malicious beacon signals by adopting an iteratively refined voting scheme. Both methods can survive malicious attacks even if the attacks bypass authentication,provided that the benign beacon signals constitute the majority of the beacon signals. This paper also presents the implementation and experimental evaluation (through both field experiments and simulation) of all the secure and resilient location estimation schemes that can be used on the current generation of sensor platforms (e.g., MICA series of motes), including the techniques proposed in this paper, in a network of MICAz motes. The experimental results demonstrate the effectiveness of the proposed methods, and also give the secure and resilient location estimation scheme most suitalbe for the current generation of sensor networks.