Tensor-based Lyapunov deep neural networks offloading control strategy with cloud-fog-edge orchestration
Using DNN (Deep Neural Networks) models to obtain high Quality of Services (QoS)
through the cloud has become increasingly popular nowadays. Users want to use DNN by …
through the cloud has become increasingly popular nowadays. Users want to use DNN by …
Adversarial attacks for image segmentation on multiple lightweight models
Due to the powerful ability of data fitting, deep neural networks have been applied in a wide
range of applications in many key areas. However, in recent years, it was found that some …
range of applications in many key areas. However, in recent years, it was found that some …
Stackelberg game-based pricing and offloading in mobile edge computing
Owing to the limited computing resources at the MEC server, reasonable strategies of
resources pricing and task offloading are necessary to be designed. In this letter, a scenario …
resources pricing and task offloading are necessary to be designed. In this letter, a scenario …
A survey of game theory as applied to social networks
X Song, W Jiang, X Liu, H Lu, Z Tian… - Tsinghua Science and …, 2020 - ieeexplore.ieee.org
Social network services can not only help people form relationships and make new friends
and partners, but also assist in processing personal information, sharing knowledge, and …
and partners, but also assist in processing personal information, sharing knowledge, and …
CEPS: a cross-blockchain based electronic health records privacy-preserving scheme
The Electronic Health Record (EHR) has been widely used in cloud-based medical data
platforms. Since the owner of the EHR is a patient and the manager is a doctor (or hospital) …
platforms. Since the owner of the EHR is a patient and the manager is a doctor (or hospital) …
GTM-CSec: Game theoretic model for cloud security based on IDS and honeypot
Cloud Computing has been adopted by many leading organizations for storage, processing,
sharing and to provide other services. It faces several security challenges from its …
sharing and to provide other services. It faces several security challenges from its …
Inverse reinforcement learning: a new framework to mitigate an Intelligent Backoff Attack
The recent advances in Deep Learning have a significant impact on the security of wireless
networks, such as intelligent attackers which are able to successfully exploit a possibly …
networks, such as intelligent attackers which are able to successfully exploit a possibly …
A blockchain-based conditional privacy-preserving traffic data sharing in cloud
As a typical application scenarios of Internet of Things (IoT), Internet of Vehicles (IoV) is
playing an important role in the field of intelligent transportation. In such a system, vehicles …
playing an important role in the field of intelligent transportation. In such a system, vehicles …
SNIRD: Disclosing rules of malware spread in heterogeneous wireless sensor networks
S Shen, H Zhou, S Feng, J Liu, Q Cao - IEEE Access, 2019 - ieeexplore.ieee.org
Heterogeneous wireless sensor networks (WSNs) are widely deployed, owing to their good
capabilities in terms of network stability, dependability, and survivability. However, they are …
capabilities in terms of network stability, dependability, and survivability. However, they are …
Deepnoise: Learning sensor and process noise to detect data integrity attacks in CPS
Cyber-physical systems (CPS) have been widely deployed in critical infrastructures and are
vulnerable to various attacks. Data integrity attacks manipulate sensor measurements and …
vulnerable to various attacks. Data integrity attacks manipulate sensor measurements and …