CMD: co-analyzed iot malware detection and forensics via network and hardware domains
With the widespread use of Internet of Things (IoT) devices, malware detection has become
a hot spot for both academic and industrial communities. Existing approaches can be …
a hot spot for both academic and industrial communities. Existing approaches can be …
A near real-time scheme for collecting and analyzing iot malware artifacts at scale
The chronic proliferation of Internet of Things (IoT) botnet malware activities coupled with an
unprecedented rise in security vulnerabilities convene a new world of opportunities for …
unprecedented rise in security vulnerabilities convene a new world of opportunities for …
TransMalDE: An Effective Transformer Based Hierarchical Framework for IoT Malware Detection
With the rapid development of the Internet of Things (IoT) and cloud applications, cloud
service providers have rented out access to servers to IoT devices for computing and …
service providers have rented out access to servers to IoT devices for computing and …
Effective multitask deep learning for iot malware detection and identification using behavioral traffic analysis
Despite the benefits of the Internet of Things (IoT), the growing influx of IoT-specific malware
coordinating large-scale cyberattacks via infected IoT devices has created a substantial …
coordinating large-scale cyberattacks via infected IoT devices has created a substantial …
DeepPower: Non-intrusive and deep learning-based detection of IoT malware using power side channels
The vulnerability of Internet of Things (IoT) devices to malware attacks poses huge
challenges to current Internet security. The IoT malware attacks are usually composed of …
challenges to current Internet security. The IoT malware attacks are usually composed of …
Midas: safeguarding iot devices against malware via real-time behavior auditing
The number of IoT devices on the Internet has surged recently, accompanied by a barrage of
large-scale IoT malware infections breakouts. Designing security mechanisms for IoT …
large-scale IoT malware infections breakouts. Designing security mechanisms for IoT …
Resource-and workload-aware model parallelism-inspired novel malware detection for iot devices
S Kasarapu, S Shukla… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The wide adoption of Internet of Things (IoT) devices has led to better connectivity along with
seamless communication and smart computation capabilities across the network. Despite …
seamless communication and smart computation capabilities across the network. Despite …
A deep recurrent neural network based approach for internet of things malware threat hunting
Abstract Internet of Things (IoT) devices are increasingly deployed in different industries and
for different purposes (eg sensing/collecting of environmental data in both civilian and …
for different purposes (eg sensing/collecting of environmental data in both civilian and …
E-spion: A system-level intrusion detection system for iot devices
As the Internet of Things (IoT) grows at a rapid pace, there is a need for an effective and
efficient form of security tailored for IoT devices. In this paper, we introduce E-Spion, an …
efficient form of security tailored for IoT devices. In this paper, we introduce E-Spion, an …
Edge-based IIoT malware detection for mobile devices with offloading
The advent of 5G brought new opportunities to leapfrog beyond current Industrial Internet of
Things (IoT). However, the ever-growing IoT has also attracted adversaries to develop new …
Things (IoT). However, the ever-growing IoT has also attracted adversaries to develop new …