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Found 8 papers, 3 papers with code
ARGUS: Context-Based Detection of Stealthy IoT Infiltration Attacks
ARGUS monitors the contextual setting based on the state and actions of IoT devices in the environment.
CrowdGuard: Federated Backdoor Detection in Federated Learning
However, FL is susceptible to backdoor (or targeted poisoning) attacks.
DeepSight: Mitigating Backdoor Attacks in Federated Learning Through Deep Model Inspection
Using these techniques, DeepSight can identify suspicious model updates.
BAFFLE: TOWARDS RESOLVING FEDERATED LEARNING’S DILEMMA - THWARTING BACKDOOR AND INFERENCE ATTACKS
Recently, federated learning (FL) has been subject to both security and privacy attacks posing a dilemmatic challenge on the underlying algorithmic designs: On the one hand, FL is shown to be vulnerable to backdoor attacks that stealthily manipulate the global model output using malicious model updates, and on the other hand, FL is shown vulnerable to inference attacks by a malicious aggregator inferring information about clients’ data from their model updates.
Peek-a-Boo: I see your smart home activities, even encrypted!
It is realized utilizing state-of-the-art machine-learning approaches for detecting and identifying particular types of IoT devices, their actions, states, and ongoing user activities in a cascading style by only observing passively the wireless traffic from smart home devices.
Cryptography and Security
DIoT: A Self-learning System for Detecting Compromised IoT Devices
Consequently, DIoT can cope with the emergence of new device types as well as new attacks.
Cryptography and Security
Breaking Fitness Records without Moving: Reverse Engineering and Spoofing Fitbit
In this paper, we provide an in-depth security analysis of the operation of fitness trackers commercialized by Fitbit, the wearables market leader.
Cryptography and Security
IoT Sentinel: Automated Device-Type Identification for Security Enforcement in IoT
In this paper, we present IOT SENTINEL, a system capable of automatically identifying the types of devices being connected to an IoT network and enabling enforcement of rules for constraining the communications of vulnerable devices so as to minimize damage resulting from their compromise.
Cryptography and Security
