Topic
anomaly-detection
Research topic anomaly-detection: 25 papers by Naser Ezzati-Jivan, with summaries, citations, and source links.
- B-Perf: Black-box Performance Antipattern Detection Using System-level Execution Tracing (2026)
- LMAT: An adaptive tracing approach based on efficient system behavior analysis using language models (2026)
- Developing a Taxonomy for Advanced Log Parsing Techniques (2025)
- Efficient Detection of Communication-related Performance Anti-patterns in Microservices (2025)
- SynthLogAI: Generative AI for Synthetic Linux Log Generation and Evaluation (2025)
- A Two-Tiered Framework for Anomaly Classification in IoT Networks Utilizing CNN-BiLSTM Model (2024)
- Context-aware Root Cause Localization in Distributed Traces Using Social Network Analysis (Work In Progress paper) (2024)
- Enhancing empirical software performance engineering research with kernel-level events: A comprehensive system tracing approach (2024)
- Resource Life-Cycle Aware Noise Detection via Kernel Event Monitoring (2024)
- Toward Adaptive Tracing: Efficient System Behavior Analysis using Language Models (2024)
- CNN-BiLSTM-Based Classification of RPL Attacks in IoT Smart Grid Networks (Industry Track) (2023)
- EMD-SCS: A Dynamic Behavioral Approach for Early Malware Detection with Sonification of System Call Sequences (2023)
- Identification and Classification of JMH Microbenchmark States using Time Series Analysis (2023)
- PASD: A Performance Analysis Approach Through the Statistical Debugging of Kernel Events (2023)
- Towards a Classification of Log Parsing Errors (2023)
- Deep Learning Driven Anomaly Based Intrusion Detection System for IoT: Poster Abstract (2022)
- N-Lane Bridge Performance Antipattern Analysis Using System-Level Execution Tracing (2022)
- Performance Anomaly Detection through Sequence Alignment of System-Level Traces (2022)
- Efficient Heap Monitoring Tool for Memory Leak Detection and Root-cause Analysis (2021)
- Malware System Calls Detection Using Hybrid System (2021)
- The Use of Anomaly Detection for the Detection of Different Types of DDoS Attacks in Cloud Environment (2021)
- Multi-level Host-based Intrusion Detection System for Internet of Things (2020)
- Automatic Cause Detection of Performance Problems in Web Applications (2019)
- Machine Learning-Based EDoS Attack Detection Technique Using Execution Trace Analysis (2019)
- Intrusion Response Systems: Survey and Taxonomy (2012)