How to withstand mobile virus attacks (extended abstract)
PODC '91 Proceedings of the tenth annual ACM symposium on Principles of distributed computing
Mersenne twister: a 623-dimensionally equidistributed uniform pseudo-random number generator
ACM Transactions on Modeling and Computer Simulation (TOMACS) - Special issue on uniform random number generation
Proactive Secret Sharing Or: How to Cope With Perpetual Leakage
CRYPTO '95 Proceedings of the 15th Annual International Cryptology Conference on Advances in Cryptology
Data replication effectiveness in mobile ad-hoc networks
PE-WASUN '04 Proceedings of the 1st ACM international workshop on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks
Energy Analysis of Public-Key Cryptography for Wireless Sensor Networks
PERCOM '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications
Node Localization Using Mobile Robots in Delay-Tolerant Sensor Networks
IEEE Transactions on Mobile Computing
Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing
Resource and performance tradeoffs in delay-tolerant wireless networks
Proceedings of the 2005 ACM SIGCOMM workshop on Delay-tolerant networking
Untraceable RFID tags via insubvertible encryption
Proceedings of the 12th ACM conference on Computer and communications security
Growth codes: maximizing sensor network data persistence
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
Data Replication for Improving Data Accessibility in Ad Hoc Networks
IEEE Transactions on Mobile Computing
Extended Abstract: Forward-Secure Sequential Aggregate Authentication
SP '07 Proceedings of the 2007 IEEE Symposium on Security and Privacy
Catch Me (If You Can): Data Survival in Unattended Sensor Networks
PERCOM '08 Proceedings of the 2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications
IEEE Transactions on Mobile Computing
pDCS: Security and Privacy Support for Data-Centric Sensor Networks
IEEE Transactions on Mobile Computing
Robust threshold DSS signatures
EUROCRYPT'96 Proceedings of the 15th annual international conference on Theory and application of cryptographic techniques
Forward-security in private-key cryptography
CT-RSA'03 Proceedings of the 2003 RSA conference on The cryptographers' track
Efficient and distributed access control for sensor networks
DCOSS'07 Proceedings of the 3rd IEEE international conference on Distributed computing in sensor systems
Secure data communication in mobile ad hoc networks
IEEE Journal on Selected Areas in Communications
Mobility and cooperation to thwart node capture attacks in MANETs
EURASIP Journal on Wireless Communications and Networking - Special issue on wireless network security
Intrusion-resilience in mobile unattended WSNs
INFOCOM'10 Proceedings of the 29th conference on Information communications
Epidemic data survivability in unattended wireless sensor networks
Proceedings of the fourth ACM conference on Wireless network security
Intrusion-resilient integrity in data-centric unattended WSNs
Pervasive and Mobile Computing
Self-healing in unattended wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
| Hi-index | 0.00 |
Some sensor network settings involve disconnected or unattended operation with periodic visits by a mobile sink. An unattended sensor network operating in a hostile environment can collect data that represents a high-value target for the adversary. Since an unattended sensor can not immediately off-load sensed data to a safe external entity (such as a sink), the adversary can easily mount a focused attack aiming to erase or modify target data. To maximize chances of data survival, sensors must collaboratively attempt to mislead the adversary and hide the location, the origin, and the contents of collected data. In this paper, we focus on applications of well-known security techniques to maximize chances of data survival in unattended sensor networks, where sensed data can not be off-loaded to a sink in real time. Our investigation yields some interesting insights and surprising results. The highlights of our work are: (1) thorough exploration of the data survival challenge, (2) exploration of the design space for possible solutions, (3) construction of several practical and effective techniques, and (4) their evaluation.