Niken Dwi Wahyu Cahyani’s research while affiliated with Telkom University and other places

... Other research efforts have focused on classifying aerial images of large areas to identify potentially dangerous situations, using CNNs trained on collections of images of offensive situations [11]. The security of communications between ground control and RPAs has also been studied, with some research exploring the use of NTRU encryption to secure transmissions between them [12]. ...

Reference:

BLE-based secure tracking system proposal

... Moreover, the application of building prediction models is becoming increasingly popular. Machine learning and traditional time series models, including linear regression [40][41][42], logistic regression [43,44], Bayesian regression [45,46], artificial neural networks [47][48][49], deep learning [16,50], linear models [51][52][53] and hybrid models [54], have demonstrated their significance in cryptocurrency prices and other fields of data analysis. Therefore, this study employs three deep learning algorithms, namely LSTM, Bi-LSTM, and GRU, to handle time series data for predictive modeling. ...

Reference:

Verifying Technical Indicator Effectiveness in Cryptocurrency Price Forecasting: a Deep-Learning Time Series Model Based on Sparrow Search Algorithm

... In the last few years, ML methods to detect botnets [11], such as Naive Bayes [12], SVM [13], random forests [14], and clustering methods [15]. Beny Nugraha et al. [16] proposed deep learning models, LSTM and MLP for detecting botnet traffic patterns. ...

Reference:

A CNN based deep learning model for detecting P2P Botnets using flow features

... This approach could be a suitable alternative for edge devices since KEMs use smaller data sizes. The later work [19] compares this solution with traditional TLS on devices Regarding other protocols different from TLS that are also interesting within the IoT domain, the NTRU cryptosystem is implemented as a public-key encryption algorithm for message queues telemetry transport (MQTT) in [20]. Although the results derived from this work conclude that such a postquantum version of MQTT is a good candidate for IoT applications, the study is restricted to one KEM only, and the tests are run on Raspberry Pi boards, which are not representative of very resourceconstrained devices. ...

Reference:

Performance Analysis of Postquantum Cryptographic Schemes for Securing Large-Scale Wireless Sensor Networks

... For example, in [8], the authors present a model to provide diagnostics for security solutions based on the preprocessing of control plane event-oriented execution traces and data plane state transition graphs. Similarly, in [9], the authors propose a technical set of processes targeted for a forensic context within SDN. This approach includes the development of specific modules designed to retrieve controller logs. ...

Reference:

A Filtering Model for Evidence Gathering in an SDN-Oriented Digital Forensic and Incident Response Context