Computer Science
Parent: College of Engineering
eScholarship stats: Breakdown by Item for June through September, 2026
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 8qd7z5c9 | A Clinic for "Secure" Programming | 276 | 17 | 259 | 6.2% |
| 9534w5x1 | Multi-Stage Delivery of Malware | 270 | 38 | 232 | 14.1% |
| 9g41n9s0 | Antimalware Software: Do We Measure Resilience? | 224 | 23 | 201 | 10.3% |
| 0b41q7v8 | Leveraging Security Metrics to Enhance System and Network Resilience | 219 | 45 | 174 | 20.5% |
| 6t90z6fc | Insider Attack Identification and Prevention Using a Declarative Approach | 194 | 12 | 182 | 6.2% |
| 2jf918dh | CSE-92-18 - An Evaluation of Feature Selection Methodsand Their Application to Computer Security | 192 | 90 | 102 | 46.9% |
| 6ww1c3bw | Parametrization and Effectiveness of Moving Target Defense Security Protections for Industrial Control Systems | 183 | 79 | 104 | 43.2% |
| 6p22t424 | Parametrization and Effectiveness of Moving Target Defense Security Protections within Industrial Control Systems | 176 | 104 | 72 | 59.1% |
| 38h991dg | Map navigation app with social posting | 156 | 94 | 62 | 60.3% |
| 5rz6t3q4 | NetSage: Open Privacy-Aware Network Measurement, Analysis, And Visualization Service | 152 | 34 | 118 | 22.4% |
| 6j27m45d | Extracting and visualizing topological information from large high-dimensional data sets | 150 | 79 | 71 | 52.7% |
| 1xb249zt | Modeling Systems Using Side Channel Information | 140 | 25 | 115 | 17.9% |
| 0bg5p8ch | Generalizing Tanglegrams | 127 | 35 | 92 | 27.6% |
| 3z8926ks | Evolution vs. Intelligent Design in Program Patching | 118 | 47 | 71 | 39.8% |
| 9r06p21c | What Do Firewalls Protect?An Empirical Study of Firewalls, Vulnerabilities, and Attacks | 116 | 30 | 86 | 25.9% |
| 9zf8102c | Security Analysis of Scantegrity, an Electronic Voting System | 111 | 23 | 88 | 20.7% |
| 8xf8q913 | A Pade Approximate Linearization for Solving the Quadratic Eigenvalue Problem with Low-Rank Damping | 110 | 26 | 84 | 23.6% |
| 2rb5352d | Dynamic, Flexible, and Optimistic Access Control | 103 | 27 | 76 | 26.2% |
| 74f3q3wf | Applying Machine Learning to Identify NUMA End-System Bottlenecks for Network I/O | 91 | 0 | 91 | 0.0% |
| 0th5h2wz | Caution: Danger Ahead (with Big Data) | 90 | 21 | 69 | 23.3% |
| 4bw6m317 | The Hive Mind: Applying a Distributed Security Sensor Network to GENI- GENI Spiral 2 Final Project Report | 89 | 19 | 70 | 21.3% |
| 4xb8p2jn | Resolving the Unexpected in Elections: Election Officials' Options | 89 | 30 | 59 | 33.7% |
| 7xs630v9 | Distributed Helios - Mitigating Denial of Service Attacks in Online Voting | 87 | 20 | 67 | 23.0% |
| 6bs3k9rt | Your Security Policy is What?? | 82 | 13 | 69 | 15.9% |
| 1vh1g09q | Lightweight Change Detection and Response Inspired by Biological Systems | 81 | 25 | 56 | 30.9% |
| 4qg9f9qw | Summit on Education in Secure Software <em>Final Report </em> | 61 | 26 | 35 | 42.6% |
| 9n44886v | Technology, Training, and Transformation | 51 | 14 | 37 | 27.5% |
| 5b10q730 | Demythifying Cybersecurity | 45 | 14 | 31 | 31.1% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.