A graph-based system for network-vulnerability analysis
Proceedings of the 1998 workshop on New security paradigms
A logic for uncertain probabilities
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Scalable, graph-based network vulnerability analysis
Proceedings of the 9th ACM conference on Computer and communications security
Two Formal Analys s of Attack Graphs
CSFW '02 Proceedings of the 15th IEEE workshop on Computer Security Foundations
Automated Generation and Analysis of Attack Graphs
SP '02 Proceedings of the 2002 IEEE Symposium on Security and Privacy
Security in wireless sensor networks
Communications of the ACM - Wireless sensor networks
Sensor networks: a bridge to the physical world
Wireless sensor networks
Using attack trees to identify malicious attacks from authorized insiders
ESORICS'05 Proceedings of the 10th European conference on Research in Computer Security
Challenges in secure sensor-cloud computing
SDM'11 Proceedings of the 8th VLDB international conference on Secure data management
| Hi-index | 0.00 |
Pervasive computing applications typically involve cooperation among a number of entities spanning multiple organizations. Any security breach in any single entity can have very far-reaching consequences. In addition, a number of factors make the task of defending against malicious attacks in pervasive systems even more complex than conventional systems. Foremost among them is that a significant number of the devices deployed in such environments are frequently severely resource constrained. Thus strong security controls cannot be easily deployed on these devices. A second factor is that since a large number of such devices are also involved, attacks can propagate very fast in pervasive environments. These prompt us to propose a model for predicting malicious activities in pervasive systems. Our model is based on a logic of opinion that has been proposed elsewhere. Ours is not an intrusion detection system for pervasive systems but works in tandem with one. The system we propose can be used as a standard interface to analyze pervasive system activities in general and generate an opinion about the possibility of an attack.