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- surveyApril 2024
Machine Learning in Metaverse Security: Current Solutions and Future Challenges
ACM Computing Surveys (CSUR), Volume 56, Issue 8Article No.: 215, Pages 1–36https://doi.org/10.1145/3654663The Metaverse, positioned as the next frontier of the Internet, has the ambition to forge a virtual shared realm characterized by immersion, hyper-spatiotemporal dynamics, and self-sustainability. Recent technological strides in AI, Extended Reality, 6G, ...
- research-articleMarch 2022
DL‐IDS: a deep learning–based intrusion detection framework for securing IoT
Transactions on Emerging Telecommunications Technologies (TETT), Volume 33, Issue 3March 2022https://doi.org/10.1002/ett.3803AbstractThe Internet of Things (IoT) is comprised of numerous devices connected through wired or wireless networks, including sensors and actuators. Recently, the number of IoT applications has increased dramatically, including smart homes, vehicular ad ...
image image The paper proposes a novel DL‐IDS to identify severe anomalies. An SMO algorithm is used to extract the most relevant features from the data set. An SDPN is then applied to identify the optimal features and classify the data as normal or ...
- research-articleJuly 2021
AS-IDS: Anomaly and Signature Based IDS for the Internet of Things
Journal of Network and Systems Management (JNSM), Volume 29, Issue 3Jul 2021https://doi.org/10.1007/s10922-021-09589-6AbstractThe Internet of Things (IoT) is a massively extensive environment that can manage many diverse applications. Security is critical due to potential malicious threats and the diversity of the connectivity. Devices can protect themselves and detect ...