Network Forensics of RPL-Based Attacks

IoT devices, which are increasing in highly manner day by day, are now in everywhere in our life. WSNs are used together with IoT devices to monitor real environments. In this study, attacks against WSNs were carried out. The attack chosen for this study is a flood attack. In addition, solution suggestions for this attack are presented. In this context, firstly reference and attack packages have been collected, and then the collected packages have been compared with the reference packages and forensic investigations have been carried out. The result of the evaluation has shown the importance continuous monitoring on 24/7 basis and detecting abnormal behaviors in IoT traffic with forensics analysis for preventing attacks

A Siamese Neural Network for Learning Semantically-Informed Sentence Embeddings

In 2014, 2018 and 2021, we measured the vertical distributions of several water quality indicators in Lake Toba, a representative large tropical lake. This lake has a north basin (NB) and south basin (SB), connected by a strait. Similar water temperature profiles were observed in both basins, showing increasing trends. Shoaling of hypolimnetic DO (dissolved oxygen)-deficient waters was clearly observed in both basins except in the period from 2018 to 2021 during which the zero DO layer deepened in the SB. In 2014 and 2018, the middle-layer maximums (or minimums) of DO were found in the NB while the SB showed a monotonously downward decreasing tendency. Middle-layer minimums of electric conductivity adjusted to 25 °C (EC25) corresponded to the middle-layer DO maximums in the NB; significantly negative correlations between DO and EC25 were found in both basins. Based on horizontal distributions of EC25, water quality difference between the basins using satellite imagery and gradual change in the DO-EC25 relation, we consider the flow of hypolimnetic water from SB to NB and/or influence of worse water quality near the bottom of the strait with reference to the different behaviors of DO and EC25

Clustering of volcanic ash arising from different fragmentation mechanisms using Kohonen self-organizing maps

International audienceIn this study, we present the visualization and clustering capabilities of self-organizing maps (SOM) for analyzing highdimensional data. We used SOM because they implement an orderly mapping of a high-dimensional distribution onto a regular low-dimensional grid. We used surface texture parameters of volcanic ash that arose from different fragmentation mechanisms as input data. We found that SOM cluster 13-dimensional data more accurately than conventional statistical classifiers. The component planes constructed by SOM are more successful than statistical tests in determining the distinctive parameters

RPL Tabanlı Atakların Ağ Adli Bilişimi

IoT devices, which are increasing in highly manner day by day, are now in everywhere in our life. WSNs are used together with IoT devices to monitor real environments. In this study, attacks against WSNs were carried out. The attack chosen for this study is a flood attack. In addition, solution suggestions for this attack are presented. In this context, firstly reference and attack packages have been collected, and then the collected packages have been compared with the reference packages and forensic investigations have been carried out. The result of the evaluation has shown the importance continuous monitoring on 24/7 basis and detecting abnormal behaviors in IoT traffic with forensics analysis for preventing attacks

Space Weather Studies Of Ionolab Group

IONOLAB is an interdisciplinary research group dedicated for handling the challenges of near earth environment on communication, positioning and remote sensing systems. IONOLAB group contributes to the space weather studies by developing state-of-the-art analysis and imaging techniques. On the website of IONOLAB group, www.ionolab.org, four unique space weather services, namely, IONOLAB-TEC, IRI-PLAS-2015, IRI-PLAS-MAP and IRI-PLAS-STEC, are provided in a user friendly graphical interface unit. Newly developed algorithm for ionospheric tomography, IONOLAB-CIT, provides not only 3-D electron density but also tracking of ionospheric state with high reliability and fidelity. The algorithm for ray tracing through ionosphere, IONOLAB-RAY, provides a simulation environment in all communication bands. The background ionosphere is generated in voxels where IRI-Plas electron density is used to obtain refractive index. One unique feature is the possible update of ionospheric state by insertion of Total Electron Content (TEC) values into IRI-Plas. Both ordinary and extraordinary paths can be traced with high ray and low ray scenarios for any desired date, time and transmitter location. 2-D regional interpolation and mapping algorithm, IONOLAB-MAP, is another tool of IONOLAB group where automatic TEC maps with Kriging algorithm are generated from GPS network with high spatio-temporal resolution. IONOLAB group continues its studies in all aspects of ionospheric and plasmaspheric signal propagation, imaging and mapping.Wo