Download Distributed computing in sensor systems: third IEEE by James Aspnes, Christian Scheideler, Anish Arora, Samuel PDF

By James Aspnes, Christian Scheideler, Anish Arora, Samuel Madden

The e-book constitutes the refereed complaints of the 3rd foreign convention on disbursed Computing in Sensor platforms, DCOSS 2007, held in Sante Fe, NM, united states in June 2007.

The 27 revised complete papers provided have been conscientiously reviewed and chosen from seventy one submissions. The papers classification in 3 tracks overlaying the parts of algorithms, functions, and structures, hence bridging the distance among concept and perform and among the wider box of disbursed computing and the explicit matters coming up in sensor networks and comparable systems.

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Distributed computing in sensor systems: third IEEE international conference, DCOSS 2007, Santa Fe, NM, USA, June 18-20, 2007: proceedings

The publication constitutes the refereed court cases of the 3rd overseas convention on disbursed Computing in Sensor structures, DCOSS 2007, held in Sante Fe, NM, united states in June 2007. The 27 revised complete papers offered have been conscientiously reviewed and chosen from seventy one submissions. The papers category in 3 tracks protecting the components of algorithms, purposes, and platforms, hence bridging the space among thought and perform and among the wider box of disbursed computing and the categorical matters coming up in sensor networks and similar structures.

Soft Computing in Industrial Applications

The fifteenth on-line global convention on smooth Computing in business purposes, hung on the net, constitutes a particular chance to offer and speak about top of the range papers, using refined net instruments and with out incurring in excessive fee and, therefore, facilitating the participation of individuals from the complete international.

Additional resources for Distributed computing in sensor systems: third IEEE international conference, DCOSS 2007, Santa Fe, NM, USA, June 18-20, 2007: proceedings

Example text

C. Wang, G. Zeng, and L. 5 −3 −2 −1 0 1 2 3 Fig. 1. Long distance radio Fig. 2. Packet reception Fig. 3. e. pairwise nodes have the perfect reception channel if they are within the maximum transmission range of radio signals. In a realistic wireless sensor network, neighboring nodes are often connected through unreliable wireless channels where packets may be lost due to the transmission error of radio signals. It is normal that packet loss rate is increased with the transmission range because the radio signals attenuate during their transmission, which leads to low signal to noise ratio (SNR).

However, in this paper, we are more interested in the attacks whose goal is to access the valuable sensor data that he is not supposed to access. We assume an attacker can eavesdrop, modify, forge, replay or block any network traffic. We assume that it is computationally infeasible to break the underlying cryptographic primitives such as encryption, decryption, and hash. We assume that the attacker is able to compromise a few sensor nodes and learn the key materials stored on the compromised sensor nodes.

When the message is verified, it is certain that user v does have the access privilege defined by S(v) and the query Q(v) does come from v as long as the users on the path from v to the root of the delegation tree are still benign. Finally, node i will check if Q(v) meets all the constraints in S(v). If yes, the access is granted. Privilege delegation may cause problems for stateful constraints. A user’s constraint is said to be stateful if it requires the node to maintain certain history information for this user.

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