Network intrusion detection for IoT security based on learning techniques
Pervasive growth of Internet of Things (IoT) is visible across the globe. The 2016 Dyn
cyberattack exposed the critical fault-lines among smart networks. Security of IoT has …
cyberattack exposed the critical fault-lines among smart networks. Security of IoT has …
Edge computing security: State of the art and challenges
The rapid developments of the Internet of Things (IoT) and smart mobile devices in recent
years have been dramatically incentivizing the advancement of edge computing. On the one …
years have been dramatically incentivizing the advancement of edge computing. On the one …
Dangerous skills: Understanding and mitigating security risks of voice-controlled third-party functions on virtual personal assistant systems
Virtual personal assistants (VPA)(eg, Amazon Alexa and Google Assistant) today mostly rely
on the voice channel to communicate with their users, which however is known to be …
on the voice channel to communicate with their users, which however is known to be …
Healthguard: A machine learning-based security framework for smart healthcare systems
The integration of Internet-of-Things and pervasive computing in medical devices have
made the modern healthcare system “smart.” Today, the function of the healthcare system is …
made the modern healthcare system “smart.” Today, the function of the healthcare system is …
Droidevolver: Self-evolving android malware detection system
Given the frequent changes in the Android framework and the continuous evolution of
Android malware, it is challenging to detect malware over time in an effective and scalable …
Android malware, it is challenging to detect malware over time in an effective and scalable …
Aegis: A context-aware security framework for smart home systems
Our everyday lives are expanding fast with the introduction of new Smart Home Systems
(SHSs). Today, a myriad of SHS devices and applications are widely available to users and …
(SHSs). Today, a myriad of SHS devices and applications are widely available to users and …
Real-time analysis of privacy-(un) aware IoT applications
Users trust IoT apps to control and automate their smart devices. These apps necessarily
have access to sensitive data to implement their functionality. However, users lack visibility …
have access to sensitive data to implement their functionality. However, users lack visibility …
A context-aware framework for detecting sensor-based threats on smart devices
Sensors (eg, light, gyroscope, and accelerometer) and sensing-enabled applications on a
smart device make the applications more user-friendly and efficient. However, the current …
smart device make the applications more user-friendly and efficient. However, the current …
Blinded and confused: uncovering systemic flaws in device telemetry for smart-home internet of things
TJ OConnor, W Enck, B Reaves - … of the 12th Conference on Security …, 2019 - dl.acm.org
The always-on, always-connected nature of smart home devices complicates Internet-of-
Things (IoT) security and privacy. Unlike traditional hosts, IoT devices constantly send …
Things (IoT) security and privacy. Unlike traditional hosts, IoT devices constantly send …
A security monitoring system for internet of things
The wide adoption of the Internet of Things (IoT) paradigm in several application domains
has raised new security issues, which should be carefully taken into account to achieve a …
has raised new security issues, which should be carefully taken into account to achieve a …