Character-Level Convolutional Neural Network for Predicting Severity of Software Vulnerability from Vulnerability Description

Vulnerability Measure of a Network - a Survey

In this paper we discuss about tenacity and its properties in stability calculation. We indicate relationships between tenacity and connectivity, tenacity and binding number, tenacity and toughness. We also give good lower and upper bounds for tenacity. Since we are primarily interested in the case where disruption of the graph is caused by the removal of a vertex or vertices (and the resulting...

Character-Based Parsing with Convolutional Neural Network

We describe a novel convolutional neural network architecture with k-max pooling layer that is able to successfully recover the structure of Chinese sentences. This network can capture active features for unseen segments of a sentence to measure how likely the segments are merged to be the constituents. Given an input sentence, after all the scores of possible segments are computed, an efficien...

An Ant Colony Optimization Algorithm for Network Vulnerability Analysis

Intruders often combine exploits against multiple vulnerabilities in order to break into the system. Each attack scenario is a sequence of exploits launched by an intruder that leads to an undesirable state such as access to a database, service disruption, etc. The collection of possible attack scenarios in a computer network can be represented by a directed graph, called network attack gra...

Fuzzing for software vulnerability discovery

Vulnerability discovery & software security

This dissertation is the result of my own work and includes nothing which is the outcome of work done in collaboration except where specifically indicated in the text. This dissertation does not exceed the regulation length of 60,000 words, including tables and footnotes, but excluding the bibliography and appendix. Acknowledgements My work has been supported at various times by a Marshall Scho...