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Statistic-poisoning attacks inject incorrect security sensor reports into the repository of collaborative intrusion detection systems to corrupt the published attack statistics. A robust approach to computing attack statistics can help counter this threat.

In wireless sensor networks, sensor nodes are typically resource constrained and used as routers to forward packets for other nodes. Compromised sensor nodes may be able to cause network-wide denial of service by dropping or corrupting packets. This paper presents a novel, lightweight approach for detecting disruptive routers that drop or corrupt packets.

We describe a general architecture for intrusion-tolerant enterprise systems and the implementation of an intrusion-tolerant Web server as a specific instance. The architecture comprises functionally redundant COTS servers running on diverse operating systems and platforms, hardened intrusion-tolerance proxies that mediate client requests and verify the behavior of servers and other proxies, and monitoring and alert management components based on the EMERALD intrusion-detection framework. Integrity and availability are maintained by dynamically adapting the system configuration in response to intrusions or other faults. The dynamic configuration specifies the servers assigned to each client request, the agreement protocol used to validate server replies, and the resources spent on monitoring and detection. Alerts trigger increasingly strict regimes to ensure continued service, with graceful degradation of performance, even if some servers or proxies are compromised or faulty. The system returns to less stringent regimes as threats diminish. Servers and proxies can be isolated, repaired, and reinserted without interrupting service.

An attractive target for a computer system attacker is the router. An attacker in control of a router can disrupt communication by dropping or misrouting packets passing through the router. We present a protocol called WATCHERS which detects and reacts to routers that drop or misroute packets. WATCHERS is based on the principle of conservation of flow in a network: all data bytes sent into a node, and not destined for that node, are expected to exit the node. WATCHERS tracks this flow, and detects routers that violate the conservation principle. We show that WATCHERS has several advantages over existing network monitoring techniques. We discuss WATCHERS response to several different types of bad router behavior. We demonstrate that in ideal conditions WATCHERS makes no false positive diagnoses, and we describe how WATCHERS can be tuned to perform nearly as well in realistic conditions. Also, we argue that WATCHERS impact on router performance and WATCHERS memory requirements are reasonable for many environments.

We study methods for reducing the cost of secure link state routing. In secure link state routing, routers may need to verify the authenticity of many routing updates, and some routers such as border routers may need to sign many routing updates. Previous work such as public-key based schemes are very expensive computationally or have certain limitations. This paper presents an efficient solution, based on a detection-diagnosis-recovery approach, for the link state routing update authentication problem. Our scheme is scalable to handle large networks, applicable to routing protocols that use multiple-valued cost metrics, and applicable even, when link states change frequently.

Many network applications depend on the security of the domain name system (DNS). Attacks on the DNS can cause denial of service and entity authentication to fail. In our approach, we use formal specifications to characterize DNS clients and DNS name servers, and to define a security goal. A name server should only use DNS data that is consistent with data from name servers that manage the corresponding domains (i.e. authoritative name servers). To enforce the security goal, we formally specify a DNS wrapper that examines the incoming and outgoing DNS messages of a name server to detect messages that could cause violations of the security goal, cooperates with the corresponding authoritative name servers to diagnose those messages, and drops the messages that are identified as threats. Based on the wrapper specification, we implemented a wrapper prototype and evaluated its performance. Out experiments show that the wrapper incurs reasonable overhead and is effective against DNS attacks such as cache poisoning and certain spoofing attacks.

We present a solution to the denial of service problem for routing infrastructures. When a network suffers from denial of service, packets cannot reach their destinations. Existing routing protocols are not, well-equipped to deal with denial of service; a misbehaving router-which may be caused by software/hardware faults, misconfiguration, or malicious attacks-may be able to disable entire networks. To protect network infrastructures from routers that incorrectly drop packets and misroute packets, we hypothesize failure models for routers and present protocols that detect and respond to those misbehaving routers. Based on realistic assumptions, we prove that our protocols have the following properties: (1) A well-behaved router never incorrectly claims another router as a misbehaving router; (2) If a network has misbehaving routers, one or more of them can be located; (3) Misbehaving routers will eventually be removed.