Robust Relative Fingerprinting-Based Passive Source Localization via Data Cleansing

Ambiguity Resolution via Passive OS Fingerprinting

With more widespread use of tools (such as fragrouter and fragroute[11]) that exploit differences in common operating systems to evade IDS detection, it has become more important for IDS sensors to accurately represent the variety of end hosts’ network stacks. The approach described in this paper uses the passively detected OS fingerprint of the end host in an attempt to correctly resolve ambig...

A crack localization method for beams via an efficient static data based indicator

In this paper, a crack localization method for Euler-Bernoulli beams via an efficient static data based indicator is proposed. The crack in beams is simulated here using a triangular variation in the stiffness. Static responses of a beam are obtained by the finite element modeling. In order to reduce the computational cost of damage detection method, the beam deflection is fitted through a poly...

A Robust Classifier for Passive TCP/IP Fingerprinting

Using probabilistic learning, we develop a naive Bayesian classifier to passively infer a host’s operating system from packet headers. We analyze traffic captured from an Internet exchange point and compare our classifier to rule-based inference tools. While the host operating system distribution is heavily skewed, we find operating systems that constitute a small fraction of the host count con...

Passive Source Localization of Sensor Arrays

Passive Source Localization: Algorithms and Analysis

Finding the position of a passive source based on measurements from an array of spatially separated sensors has been an important problem in radar, sonar, global positioning system, mobile communications, multimedia and wireless sensor networks. Time-of-arrival (TOA), time-differenceof-arrival (TDOA), received signal strength (RSS) and direction-of-arrival (DOA) of the emitted signal are common...