Sentence examples for traceback algorithm from inspiring English sources

In the conventional IP network, edge sampling is a well known traceback algorithm to countermeasure DoS/DDoS attacks.

The second pass (Supplementary Algorithm S1.0.1) is a traceback algorithm that reads information from each to construct an optimal solution.

To recover the best alignment and the two actual sequences that produce it, a classic traceback algorithm is used, with an execution time depending linearly on the alignment length, which cannot be larger than (3· n A + 3· n B + 1).

In this paper, we proposed a zone sampling-based traceback (ZSBT) algorithm for tracing DoS attackers in MANETs.

We formulate this rule below describing traceback stage of the algorithm.

We select the gene segments that lead to the highest posterior probabilities, and perform a posterior Viterbi algorithm with traceback (Fariselli et al., 2005) to select the path with the highest posterior probability for each possible rearrangement.

This paper proposed an equality approach to deal with the traceback problem, called the edge sampling algorithm with probability distribution fairness (ESA PDF), which reduces the convergence time of the conventional edge sampling algorithm.

The algorithm described above requires O(L M) memory to store traceback pointers for recovering an optimal local parse tree.

These algorithms compute the alignment score, de-linking that computation from the traceback, which produces the final alignment.

To facilitate this, it is helpful to store traceback pointers during the dynamic programming recursion; for clarity, these are not indicated in the algorithm description above.

The algorithm can be described as follows: 1. Initialization: 2. Recursion 3. Termination and Traceback The labels are assigned to the observed sequence according to the state path s*.