154 citations · 202 across the 7 of their papers we have counts for
9 papers
NDT Factory: Synthesizing Verified Network Digital Twins from Semantic Models via Multi-Agent LLM
Sudipta Acharya, Petar Djukic, Burak Kantarci
Autonomous network management requires systems that can evaluate Network Service Intents (NSIs) under varying conditions without manual implementation of analysis logic, as envisio…
On Identifying Adversarial Intent Injection in AI-Native 6G Networks
Nilesh Chakraborty, Petar Djukic, Burak Kantarci
AI-native 6G networks have brought Intent-Based Networking (IBN) to the forefront, enabling high-level goals to be translated into network configurations. However, this abstraction…
From Agentic to Autogenic Network Management for AI-Native 6G and Beyond: A Standards Perspective
Petar Djukic, Sudipta Acharya, Takai Eddine Kennouche +1
Standards bodies, including TM Forum, 3GPP, and ETSI, are converging on Agentic AI as the foundation for next-generation network management, where Large AI Model (LAM)-based agents…
FTA-NTN: Fairness and Throughput Assurance in Non-Terrestrial Networks
Sachin Ravikant Trankatwar, Heiko Straulino, Petar Djukic +1
Designing optimal non-terrestrial network (NTN) constellations is essential for maximizing throughput and ensuring fair resource distribution. This paper presents FTA-NTN (Fairness…
Deep Dict: Deep Learning-based Lossy Time Series Compressor for IoT Data
Jinxin Liu, Petar Djukic, Michel Kulhandjian +1
We propose Deep Dict, a deep learning-based lossy time series compressor designed to achieve a high compression ratio while maintaining decompression error within a predefined rang…
Host-Based Network Intrusion Detection via Feature Flattening and Two-stage Collaborative Classifier
Zhiyan Chen, Murat Simsek, Burak Kantarci +2
Network Intrusion Detection Systems (NIDS) have been extensively investigated by monitoring real network traffic and analyzing suspicious activities. However, there are limitations…
Prior Knowledge based Advanced Persistent Threats Detection for IoT in a Realistic Benchmark
Yu Shen, Murat Simsek, Burak Kantarci +3
The number of Internet of Things (IoT) devices being deployed into networks is growing at a phenomenal level, which makes IoT networks more vulnerable in the wireless medium. Advan…
Collaborative Feature Maps of Networks and Hosts for AI-driven Intrusion Detection
Jinxin Liu, Murat Simsek, Burak Kantarci +2
Intrusion Detection Systems (IDS) are critical security mechanisms that protect against a wide variety of network threats and malicious behaviors on networks or hosts. As both Netw…
Machine Learning-Enabled IoT Security: Open Issues and Challenges Under Advanced Persistent Threats
Zhiyan Chen, Jinxin Liu, Yu Shen +4
Despite its technological benefits, Internet of Things (IoT) has cyber weaknesses due to the vulnerabilities in the wireless medium. Machine learning (ML)-based methods are widely…