Detection of Intrusions and Malware, and Vulnerability Assessment

Chapter 1 Hybrid Pruning: Towards Precise Pointer and Taint Analysis

Chapter 2 Establishing the Contaminating Effect of Metadata Feature Inclusion in Machine-Learned Network Intrusion Detection Models

Chapter 3 Extended Abstract: Effective Call Graph Fingerprinting for the Analysis and Classification of Windows Malware

Chapter 4 COBRA-GCN: Contrastive Learning to Optimize Binary Representation Analysis with Graph Convolutional Networks

Chapter 5 Prioritizing Antivirus Alerts on Internal Enterprise Machines

Chapter 6 VANDALIR: Vulnerability Analyses Based on Datalog and LLVM-IR

Chapter 8 MPKAlloc: Efficient Heap Meta-data Integrity Through Hardware Memory Protection Keys

Chapter 9 A Human in Every APE: Delineating and Evaluating the Human Analysis Systems of Anti-Phishing Entities

Chapter 10 Amplification Chamber: Dissecting the Attack Infrastructure of Memcached DRDoS Attacks

Chapter 11 Consistency is All I Ask: Attacks and Countermeasures on the Network Context of Distributed Honeypots