Continual federated learning for network anomaly detection in 5G Open-RAN

Abstract. This dissertation offers a unique federated continual learning setup for anomaly detection in the fast growing 5G Open Radio Access Network (O-RAN) environment. Conventional AI techniques frequently fall short of meeting the security automation needs of 5G networks, owing to their outstanding latency, dependability, and bandwidth demands. As a result, the thesis provides an anomaly detection system that does not only use federated learning (FL) to solve inherent privacy problems and resource constraints but also incorporates replay buffer concept in the training phase of the model to eradicate catastrophic forgetting. To allow the intended federated learning architecture, anomaly detectors are incorporated into the Near-real time RIC, while aggregation servers are installed within the Non-real time RIC. The configuration was carefully tested using the 5G NIDD Dataset, revealing a considerable boost in detection accuracy by reaching close to 99% for almost all datasets after including the continual learning process. The thesis also investigates the notion of transfer learning, in which pre-trained local models are evaluated against a hybrid Application layer DDoS dataset that includes benign samples from the CICIDS 2017 dataset and attack flows generated in proprietary SDN environment. The captured results show almost over 99% of accuracy, confirming the suggested system’s efficacy and flexibility. The study represents a significant step forward in the development of a more secure, efficient, and privacy-protecting 5G network architecture

Dispersion Study of a Broadband Terahertz Focusing Reflecting Metasurface for 6G Wireless Communication

In 6G wireless communications, functional terahertz reflecting metasurfaces are expected to play increasingly important roles such as beamforming and beamsteering. This paper demonstrates the design of a functional and efficient beamforming metasurface in the burgeoning D-band (0.11-0.17~THz). In addition to achieving broadband operation (0.135-0.165~THz), this design is polarization-maintaining, diffraction limited, simple in design, exhibits 64.1\% broadband efficiency (1.9 dB insertion loss) and 20\% fractional bandwidth. Despite being formed by an array of highly dispersive resonators, the metasurface exhibits very low temporal dispersion, which avoids pulse reshaping and its consequent limitations on achievable data rate. The design and performance of the focusing reflector are presented followed by a group delay and group delay dispersion analysis revealing that a 2.83\% temporal broadening of the pulse is observed at the focus

Composition, repellent and fumigant toxicity of Mentha longifolia essential oil on Tetranychus urticae and three predatory mites of the family phytoseiidae (Acari: Tetranychidae: Phytoseiidae)

The chemical composition of essential oil extracted from leaves of the medicinal plant Mentha longifolia (L.) Huds growing in Egypt, were determined through Gas Chromatography/Mass Spectrometry ( GC/MS). The analyses revealed that the major component of M. longifolia was Monterpene ketone (piperitone oxide). Mentha longifolia was potent for the pest Tetranychus urticae Koch with a significant increase in repellency. In addition, it exhibited strong oviposition deterrence to the pest based on a 99.4% reduction of the total number of eggs on leaf discs treated with the oil. The LC50 values of M. longifolia against eggs, nymphs and females of T. urticae by fumigant application, were 2.95, 3.47, 3.74 μL / L, while the LC90 values were 8.99, 9.41, 11.01 μL/ L, respectively. The toxicity of M. longifolia oil by fumigant application to females and eggs of 3 predatory phytoseiid mites was tested. Neoseiulus californicus (McGregor) is extremely insusceptible to M. longifolia oil than the pest T. urticae and both phytoseiid mites, Neoseiuls barkeri (Hughes) and Typhlodromips swirskii (Athias Henriot) under laboratory conditions. When both stages of tested predatory mites, exposed to fumigant of LC50 and LC90 μL/L values reported on T. urticae, female’s mortality of N. californicus was lesser than that reported on N. barkeri and T. swirskii. These show that the fumigant toxicity of M. longifolia oil has the highest lethal activity to the pest T. urticae and the least to the predatory mite N. californicus. Results indicated that the mode of delivery of the essential oil was largely a result of action in the vapor phase via respiratory system. Data was suggested that M. longifolia oil have the potential agent to be used in the maintainable management of T. urticae combined with N. californicus

Pengaruh Berbagai Frekuensi Pemberipengaruh Berbagai Frekuensi Pemberian Pakan dan Pembatasan Pakan terhadap Efisiensi Penggunaan Protein Ayam Broiler

The research was aims to determine the influence of various feeding frequency and feed restriction on protein utilization of broiler chicken which includes the consumption of protein, protein efficiency ratio and nitrogen retention The experiment used 200 days old chick broilers unsex. Feed rations were calculated 22,69% crude protein; 2930 kcal/kg metabolizable energy. Completely Randomized Design with 4 treatments and 5 replication was used in this experiment. Feed provided ad libitum at the age of 1-7 days. feed restriction (75% standard) with frequency of 8-21 days with treatment at T0 = ad libitum-feed; T1 = 4 times given at 06.00, 10.00, 14.00 and 18.00, T2 = 3 times gave at 06.00, 14.00 and 18.00, T3 = 2 times were gave at 06.00 and 14.00. Feed provided ad libitum at the age of 22-35 days. The results showed that the influence of feeding frequency and feed restriction no significant effect (P> 0.05) on protein consumption, protein efficiency ratio and nitrogen retentio

A phylogeny analysis on six mullet species (Teleosti: Mugillidae) using PCR-sequencing method

In this study, genetic differences and phylogenic relationships among six Mugillidae species (Mugil cephalus, M. capito, Liza subviridis, L. saliens, L. aurata, Valamugil buchanani) were determined using PCR-sequencing. M. cephalus, L. subviridis, and V. buchanani from the Persian Gulf and Oman Sea, and L. aurata and L. saliens from the Caspian Sea were collected. Samples of an imported, Egyptian species M. capito were obtained from the Gomishan Research Center in Gorgan. Total DNA from the samples were extracted according to phenol-chloroform procedure. The extracted total DNAs were amplified using polymerase chain reaction (PCR) and then sequenced. The number of bases in the mitochondrial 16s rRNA genome used in this study approximated 600 base pairs. The size of the bands was identical in all the studied species and no heteroplasmia was observed. In addition, the numbers of variable, preserved, and Pi sites were about 114/624, 488/624, and 110/624, respectively. Analysis of the sequences showed great differences between Mugil species and the other studied species. The phylogenetic tree obtained through Neighbor-Joining method revealed that L. saliens and L. aurata were in the same branch while L. subviridis was in a separate branch. In contrast, Maximum Parsimony tree located L. subviridis and L. aurata in a single branch and assigned L. saliens to a distinct branch. This result brings in the question of monophyletic origin of the genus Liza

Evaluation of combined disc method for the detection of metallo-β-lactamase producing Gram negative bacilli

Aims: Infections due to metallo-β-lactamase (MBL) producing Gram negative rods are a cause of high mortality and morbidity. Early detection by an economical and accurate method may improve patient outcome. This study was aimed to evaluate the diagnostic accuracy of combined disc method for MBL detection by comparing it with MBL-Etest.Methodology and Results: This cross-sectional, validation study was carried out in the Department of Microbiology, Army Medical College, National University of Sciences and Technology, Rawalpindi, over a period of six months. A total of 52 non-duplicate Gram-negative rods isolated from the routine clinical specimens and found resistant to meropenem/imipenem on Kirby Bauer Disc Diffusion method were subjected to two tests for metallo-β-lactamase detection. One was combined Disc test using imipenem with Ethylene Diamine Tetraacetic Acid (EDTA), where a strain showing an increase in zone of inhibition of combined disc of ≥ 7 mm as compared to imipenem alone, was considered as MBL producer and the other one was MBL-Etest for which results were interpreted as per manufacturer’s guidelines. Combined disc method for MBL detection was found to have a sensitivity, specificity, positive predictive value, negative predictive value and accuracy of 97.5%, 100%, 100%, 92% and 98%.Conclusion, Significance and Impact of study: Combined disc method is an economical and reliable method for metallo-β-lactamase detection which can be used routinely in any laboratory

Context Mining of Sedentary Behavior for Promoting Self-Awareness Using Smartphone

Sedentary behaviour is increasing due to societal changes and is related to prolonged periods of sitting. There is sufficient evidence proving that sedentary behaviour has a negative impact on people’s health and wellness. This paper presents our research findings on how to mine the temporal contexts of sedentary behaviour by utilizing the on-board sensors of a smartphone. We use the accelerometer sensor of the smartphone to recognize user situations (i.e., still or active). If our model confirms that the user context is still, then there is a high probability of being sedentary. Then, we process the environmental sound to recognize the micro-context, such as working on a computer or watching television during leisure time. Our goal is to reduce sedentary behaviour by suggesting preventive interventions to take short breaks during prolonged sitting to be more active. We achieve this goal by providing the visualization to the user, who wants to monitor his/her sedentary behaviour to reduce unhealthy routines for self-management purposes. The main contribution of this paper is two-fold: (i) an initial implementation of the proposed framework supporting real-time context identification; (ii) testing and evaluation of the framework, which suggest that our application is capable of substantially reducing sedentary behaviour and assisting users to be active