103 citations · 308 across the 16 of their papers we have counts for
16 papers
Semantic Matching of Behavioral Primitives for MUD-Based IoT Device Identification
Samuel Witt, Hassan Habibi Gharakheili
Accurate identification of Internet of Things (IoT) devices, such as cameras, lightbulbs, and voice assistants, is important for security management and policy enforcement. Existin…
A Survey on Mapping Digital Systems with Bill of Materials: Development, Practices, and Challenges
Shuai Zhang, Minzhao Lyu, Hassan Habibi Gharakheili
Modern digital ecosystems, spanning software, hardware, learning models, datasets, and cryptographic products, continue to grow in complexity, making it difficult for organizations…
From Flows to Functions: Macroscopic Behavioral Fingerprinting of IoT Devices via Network Services
Shayan Azizi, Norihiro Okui, Masataka Nakahara +2
Identifying devices such as cameras, printers, voice assistants, or health monitoring sensors, collectively known as the Internet of Things (IoT), within a network is a critical op…
Realizing Open and Decentralized Marketplace for Exchanging Data of Expected IoT Behaviors
Song Guo, Minzhao Lyu, Hassan Habibi Gharakheili
With rising concerns about the security of IoT devices, network operators need better ways to handle potential risks. Luckily, IoT devices show consistent patterns in how they comm…
Detecting Anomalous Microflows in IoT Volumetric Attacks via Dynamic Monitoring of MUD Activity
Ayyoob Hamza, Hassan Habibi Gharakheili, Theophilus A. Benson +2
IoT networks are increasingly becoming target of sophisticated new cyber-attacks. Anomaly-based detection methods are promising in finding new attacks, but there are certain practi…
Quantifying and Managing Impacts of Concept Drifts on IoT Traffic Inference in Residential ISP Networks
Arman Pashamokhtari, Norihiro Okui, Masataka Nakahara +3
Millions of vulnerable consumer IoT devices in home networks are the enabler for cyber crimes putting user privacy and Internet security at risk. Internet service providers (ISPs)…
AdIoTack: Quantifying and Refining Resilience of Decision Tree Ensemble Inference Models against Adversarial Volumetric Attacks on IoT Networks
Arman Pashamokhtari, Gustavo Batista, Hassan Habibi Gharakheili
Machine Learning-based techniques have shown success in cyber intelligence. However, they are increasingly becoming targets of sophisticated data-driven adversarial attacks resulti…
A Survey on DNS Encryption: Current Development, Malware Misuse, and Inference Techniques
Minzhao Lyu, Hassan Habibi Gharakheili, Vijay Sivaraman
The domain name system (DNS) that maps alphabetic names to numeric Internet Protocol (IP) addresses plays a foundational role for Internet communications. By default, DNS queries a…
Modeling Live Video Streaming: Real-Time Classification, QoE Inference, and Field Evaluation
Sharat Chandra Madanapalli, Alex Mathai, Hassan Habibi Gharakheili +1
Social media, professional sports, and video games are driving rapid growth in live video streaming, on platforms such as Twitch and YouTube Live. Live streaming experience is very…
Modeling Classroom Occupancy using Data of WiFi Infrastructure in a University Campus
Iresha Pasquel Mohottige, Hassan Habibi Gharakheili, Vijay Sivaraman +1
Universities worldwide are experiencing a surge in enrollments, therefore campus estate managers are seeking continuous data on attendance patterns to optimize the usage of classro…
Comparing Broadband ISP Performance using Big Data from M-Lab
Xiaohong Deng, Yun Feng, Thanchanok Sutjarittham +3
Comparing ISPs on broadband speed is challenging, since measurements can vary due to subscriber attributes such as operation system and test conditions such as access capacity, ser…
IoT Network Security: Requirements, Threats, and Countermeasures
Ayyoob Hamza, Hassan Habibi Gharakheili, Vijay Sivaraman
IoT devices are increasingly utilized in critical infrastructure, enterprises, and households. There are several sophisticated cyber-attacks that have been reported and many networ…
HazeDose: Design and Analysis of a Personal Air Pollution Inhaled Dose Estimation System using Wearable Sensors
Ke Hu, Ashfaqur Rahman, Hassan Habibi Gharakheili +1
Nowadays air pollution becomes one of the biggest world issues in both developing and developed countries. Helping individuals understand their air pollution exposure and health ri…
Verifying and Monitoring IoTs Network Behavior using MUD Profiles
Ayyoob Hamza, Dinesha Ranathunga, Hassan Habibi Gharakheili +3
IoT devices are increasingly being implicated in cyber-attacks, raising community concern about the risks they pose to critical infrastructure, corporations, and citizens. In order…
Estimating Residential Broadband Capacity using Big Data from M-Lab
Xiaohong Deng, Yun Feng, Hassan Habibi Gharakheili +1
Knowing residential broadband capacity profiles across a population is of interest to both consumers and regulators who want to compare or audit performance of various broadband se…
Clear as MUD: Generating, Validating and Applying IoT Behaviorial Profiles (Technical Report)
Ayyoob Hamza, Dinesha Ranathunga, H. Habibi Gharakheili +2
IoT devices are increasingly being implicated in cyber-attacks, driving community concern about the risks they pose to critical infrastructure, corporations, and citizens. In order…