Application of Genetic Algorithm in Intrusion Detection System

The existing NIDSs involve various mechanisms in order to identify the patterns related to the network problems. In this paper we described the implementation of genetic algorithm using steady-state selection mechanism. We have performed various test cases in order to analyze the effect of varying iterations and varying initial chrome length along with different fitness functions. The analyzed result would be helpful to have quicker generation of reliable rule sets for Network Intrusion Detection System using less/more number of iterations, depending on the varying initial chrome length. Keywords: Data Mining, Genetic Algorithm, Network Intrusion, Network Intrusion Detection System

Cutaneous leiomyoma of scalp: a rare case report with review of literature

Skin is the largest organ of the body and many types of tumor arises from different part of skin layer. A leiomyoma is an uncommon, benign tumour of smooth muscle of skin derived from the arrector pili muscle of skin. These lesions can develop wherever smooth muscle is present, but malignant transformation probably does not occur. Cutaneous leiomyomas or piloleiomyomas appear as small (0.5-2 cm) firm skin coloured nodules. They arise from the arrector pili muscles which are responsible for making your hairs stand on end. Multiple lesions may develop, often in clusters and commonly in a segmental distribution. These nodules are benign, so are only of concern because of their appearance or their tendency to be tender if knocked. Female patients with cutaneous leiomyomas may also develop uterine leiomyomas (fibroids), and very rarely leiomyomas can be associated with renal cell carcinoma (hereditary leiomyomatosis and renal cell cancer). We report a case cutaneous leiomyoma of scalp in a 22 year old male who present with the complaints of scalp swelling

BEST-Blockchain-Enabled Secure and Trusted Public Emergency Services for Smart Cities Environment

[EN] In the last few years, the Internet of things (IoT) has recently gained attention in developing various smart city applications such as smart healthcare, smart supply chain, smart home, smart grid, etc. The existing literature focuses on the smart healthcare system as a public emergency service (PES) to provide timely treatment to the patient. However, little attention is given to a distributed smart fire brigade system as a PES to protect human life and properties from severe fire damage. The traditional PES are developed on a centralised system, which requires high computation and does not ensure timely service fulfilment. Furthermore, these traditional PESs suffer from a lack of trust, transparency, data integrity, and a single point of failure issue. In this context, this paper proposes a Blockchain-Enabled Secure and Trusted (BEST) framework for PES in the smart city environment. The BEST framework focuses on providing a fire brigade service as a PES to the smart home based on IoT device information to protect it from serious fire damage. Further, we used two edge computing servers, an IoT controller and a service controller. The IoT and service controller are used for local storage and to enhance the data processing speed of PES requests and PES fulfilments, respectively. The IoT controller manages an access control list to keep track of registered IoT gateways and their IoT devices, avoiding misguiding the PES department. The service controller utilised the queue model to handle the PES requests based on the minimum service queue length. Further, various smart contracts are designed on the Hyperledger Fabric platform to automatically call a PES either in the presence or absence of the smart-home owner under uncertain environmental conditions. The performance evaluation of the proposed BEST framework indicates the benefits of utilising the distributed environment and the smart contract logic. The various simulation results are evaluated in terms of service queue length, utilisation, actual arrival time, expected arrival time, number of PES departments, number of PES providers, and end-to-end delay. These simulation results show the effectiveness and feasibility of the BEST framework.This research is Funded by the B11 unit of assessment, Centre for Computing and Informatics Research Centre, Department of Computer Science, Nottingham Trent University, UK. This work is supported by the SC&SS, Jawaharlal Nehru University, New Delhi, India.Bhawana; Kumar, S.; Rathore, RS.; Mahmud, M.; Kaiwartya, O.; Lloret, J. (2022). BEST-Blockchain-Enabled Secure and Trusted Public Emergency Services for Smart Cities Environment. Sensors. 22(15). https://doi.org/10.3390/s22155733221

A Progressive step towards classical uses of Medicinal Plants in Gynecological Disorders

In India women do not share their Gynecological problems with their family members and not even with her neighbours at early stage of diseases. Generally they share their problems with local practitioners, because there is less chances to disclose their problems in society, another benefit is that local practitioners treat them by local herbal remedies at very low cost. Mostly this work is exploration of different Ayurvedic scriptures for Gynecological problems. About 77 medicinal plants have been recorded having basonyms and latin names of the plants, family, therapeutic uses and their references in different scriptures of Ayurveda and ethno botany. The present study is very much significant to practitioners in their practices and also for researchers to find out the various active phytochemicals and pharmacological agents as a potent drug in the field of Ayurveda

Parachute mitral valve with late presentation: rare case reports

Congenital mitral stenosis involves the annulus, the zone immediately above and contiguous with the annulus, the leaflets, the chordae tendineae, and the papillary muscles. In a parachute mitral valve (PMV), all chordae tendineae which are usually shorter and thicker than normal type, inserted into this single papillary muscle. This condition restricts the motion of leaflets and obstructs the blood flow into the left ventricle during diastole. Here we present two cases of severe congenital mitral stenosis with severe pulmonary hypertension due to parachute mitral valve that allowed survival into adulthood without any specific treatment

Delimitated Anti Jammer Scheme for Internet of Vehicle:Machine Learning based Security Approach

Recently, Internet of vehicles (IoV) has witnessed significant research and development attention in both academia and industries due to the potential towards addressing traffic incidences and supporting green mobility. With the growing vehicular network density, jamming signal centric security issues have become challenging task for IoV network designers and traffic applications developers. Global positioning system (GPS) and roadside unit (RSU) centric related literature on location-based security approaches lacks signal characteristics consideration for identifying vehicular network intruders or jammers. In this context, this paper proposes a machine learning oriented as Delimitated Anti Jamming protocol for vehicular traffic environments. It focuses on jamming vehicle's discriminated signal detection and filtration for revealing precise location of jamming effected vehicles. In particular, a vehicular jamming system model is presented focusing on localization of vehicles in delimitated jamming environments. A foster rationalizer is employed to examine the frequency changes caused in signal strength due to the jamming or external attacks. A machine learning open-sourced algorithm namely, CatBoost has been utilized focusing on decision tree relied algorithm to predict the locations of jamming vehicle. The performance of the proposed anti jammer scheme is comparatively evaluated with the state of the art techniques. The evaluation attests the resistive characteristics of the anti-jammer technique considering precision, recall, F1 score and delivery accuracy metrics

W-GUN: Whale Optimization for Energy and Delay centric Green Underwater Networks

Underwater Sensor Networks (UWSNs) has witnessed significant R&D attention in both academia and industries due to its growing application domain such as border security, freight via sea or river, natural petroleum production, etc. Considering the deep underwater oriented access constraints, energy centric communication for lifetime maximization of tiny sensor nodes in UWSNs is one of the key research themes in this domain. Existing literature on green UWSNs are majorly adapted from the existing techniques in traditional wireless sensor network without giving much attention to the realistic impact of underwater network environments resulting in degraded performance. Towards this end, this paper presents an adapted whale optimization algorithm-based energy and delay centric green UWSNs framework (W-GUN). It focuses on exploiting dynamic underwater network characteristics by effectively utilizing underwater whale centric optimization in relay node selection. Firstly, an underwater relay- node optimization model is mathematically derived focusing on whale and wolf optimization algorithms for incorporating realistic underwater characteristics. Secondly, the optimization model is used to develop an adapted whale and grey wolf optimization algorithm. Thirdly, a complete work-flow of the W-GUN framework is presented with the optimization flowchart. The comparative performance evaluation attests the benefits of the proposed framework as compared to the state-of-the-art techniques considering various metrics related to underwater network environments

Retention of foreign body in the gut can be a sign of congenital obstructive anomaly: a case report

<p>Abstract</p> <p>Introduction</p> <p>Small smooth objects that enter the gut nearly always pass uneventfully through the gastrointestinal tract. Retention of foreign objects may occur due to congenital obstructive anomaly of the gut.</p> <p>Case presentation</p> <p>We report here a child who presented with features of small gut obstruction which were attributed to a foreign body impacted in the intestine. At surgery, an annular pancreas was detected and the foreign body was found to be lodged in the distended proximal duodenum.</p> <p>Conclusion</p> <p>The reported case highlights the fact that an impacted radio-opaque foreign body in a child should warn the pediatrician to the possibility of an obstructive congenital anomaly.</p