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A comprehensive survey on deep learning based malware detection techniques
Recent theoretical and practical studies have revealed that malware is one of the most
harmful threats to the digital world. Malware mitigation techniques have evolved over the …
harmful threats to the digital world. Malware mitigation techniques have evolved over the …
A critical review of intrusion detection systems in the internet of things: techniques, deployment strategy, validation strategy, attacks, public datasets and challenges
Abstract The Internet of Things (IoT) has been rapidly evolving towards making a greater
impact on everyday life to large industrial systems. Unfortunately, this has attracted the …
impact on everyday life to large industrial systems. Unfortunately, this has attracted the …
A survey on blockchain for big data: Approaches, opportunities, and future directions
Big data has generated strong interest in various scientific and engineering domains over
the last few years. Despite many advantages and applications, there are many challenges in …
the last few years. Despite many advantages and applications, there are many challenges in …
Unmanned aerial vehicles in smart agriculture: Applications, requirements, and challenges
In the next few years, smart farming will reach each and every nook of the world. The
prospects of using unmanned aerial vehicles (UAV) for smart farming are immense …
prospects of using unmanned aerial vehicles (UAV) for smart farming are immense …
Anomaly-based intrusion detection system for IoT application
Abstract Internet-of-Things (IoT) connects various physical objects through the Internet and it
has a wide application, such as in transportation, military, healthcare, agriculture, and many …
has a wide application, such as in transportation, military, healthcare, agriculture, and many …
CANintelliIDS: Detecting in-vehicle intrusion attacks on a controller area network using CNN and attention-based GRU
Controller area network (CAN) is a communication protocol that provides reliable and
productive transmission between in-vehicle nodes continuously. CAN bus protocol is …
productive transmission between in-vehicle nodes continuously. CAN bus protocol is …
Deep learning approach for intelligent intrusion detection system
Machine learning techniques are being widely used to develop an intrusion detection
system (IDS) for detecting and classifying cyberattacks at the network-level and the host …
system (IDS) for detecting and classifying cyberattacks at the network-level and the host …
Privacy-preserving blockchain-based federated learning for traffic flow prediction
As accurate and timely traffic flow information is extremely important for traffic management,
traffic flow prediction has become a vital component of intelligent transportation systems …
traffic flow prediction has become a vital component of intelligent transportation systems …
Machine intelligence and medical cyber-physical system architectures for smart healthcare: Taxonomy, challenges, opportunities, and possible solutions
Hospitals use medical cyber-physical systems (MCPS) more often to give patients quality
continuous care. MCPS isa life-critical, context-aware, networked system of medical …
continuous care. MCPS isa life-critical, context-aware, networked system of medical …
Robust intelligent malware detection using deep learning
Security breaches due to attacks by malicious software (malware) continue to escalate
posing a major security concern in this digital age. With many computer users, corporations …
posing a major security concern in this digital age. With many computer users, corporations …