Proceedings of the 7th annual international conference on Mobile computing and networking
Topology management for sensor networks: exploiting latency and density
Proceedings of the 3rd ACM international symposium on Mobile ad hoc networking & computing
Building Diverse Computer Systems
HOTOS '97 Proceedings of the 6th Workshop on Hot Topics in Operating Systems (HotOS-VI)
Countering code-injection attacks with instruction-set randomization
Proceedings of the 10th ACM conference on Computer and communications security
On achieving software diversity for improved network security using distributed coloring algorithms
Proceedings of the 11th ACM conference on Computer and communications security
Random Coverage with Guaranteed Connectivity: Joint Scheduling for Wireless Sensor Networks
IEEE Transactions on Parallel and Distributed Systems
Modeling Node Compromise Spread in Wireless Sensor Networks Using Epidemic Theory
WOWMOM '06 Proceedings of the 2006 International Symposium on on World of Wireless, Mobile and Multimedia Networks
Diversify sensor nodes to improve resilience against node compromise
Proceedings of the fourth ACM workshop on Security of ad hoc and sensor networks
Harbor: software-based memory protection for sensor nodes
Proceedings of the 6th international conference on Information processing in sensor networks
Towards self-propagate mal-packets in sensor networks
WiSec '08 Proceedings of the first ACM conference on Wireless network security
Improving sensor network immunity under worm attacks: a software diversity approach
Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing
A first look at peer-to-peer worms: threats and defenses
IPTPS'05 Proceedings of the 4th international conference on Peer-to-Peer Systems
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Since sensor nodes are implemented in embedded computer systems, which do not have complicated hardware architecture and operating system. Therefore, worm attacks, which exploit buffer-overflow vulnerabilities, could compromise the entire sensor network by sending a single mal-packet. To address the severe problem, the technique of software diversity has been leveraged to defend against sensor worms. In this paper, we encompass random sensor node scheduling and software diversity to propose a novel sensor worm defense scheme. Our scheme can effectively improve the sensor network defensive capability. Then some practical considerations for its real application is proposed. Finally, analytical and simulation results confirm the effectiveness of our scheme in sensor worm defense.