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Traditionally, anomaly detection mechanisms have relied on the inspection of certain manually (by domain experts) chosen features in order to determine if a networked system is under attack or not. Unfortunately, the approach, while somewhat effective in flagging known attacks, yields either low true positive rates or high false positive rates when the attacks are mutated slightly or in the presence...
Malicious interference injection or jamming is one of the simplest ways to disrupt wireless communications. Prior approaches can alleviate jamming interference to a limited extent; they are especially vulnerable to a reactive jammer i.e., a jammer that injects noise upon sensing a legitimate transmission or wideband jamming. In this paper, we leverage the inherent features of OFDM (Orthogonal Frequency...
Streaming video content over cellular connectivity impacts the battery consumption of a client (e.g., a smartphone). The problem is exacerbated when the channel quality is poor because of a large number of retransmissions, moreover, streaming high quality video in such cases can negatively impact user experience (e.g., due to stalling). In this paper, we develop an analytical framework which can provide...
Denial of service (DoS) attacks are among the most crippling of network attacks because they are easy to orchestrate and usually cause an immediate shutdown of whatever resource is targeted. Today's intrusion detection systems check if specific single scalar features exceed a threshold to determine if a specific TCP-based DoS attack is underway. To defeat such systems we demonstrate that an attacker...
Malicious interference injection or jamming is one of the simplest ways to disrupt wireless communications. Prior approaches can alleviate jamming interference to a limited extent; they are especially vulnerable to a reactive jammer i.e., a jammer that injects noise upon sensing a legitimate transmission or wideband jamming. In this paper, we leverage the inherent features of OFDM (Orthogonal Frequency...
Large data processing tasks can be effected using workflow management systems. When either the input data or the programs in the pipeline are modified, the workflow must be re-executed to ensure that the final output data is updated to reflect the changes. Since such re-computation can consume substantial resources, optimizing the system to avoid redundant computation is desirable. In the case of...
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