Birla Institute of Technology, Mesra

About: Birla Institute of Technology, Mesra is a education organization based out in Ranchi, India. It is known for research contribution in the topics: Computer science & Dielectric. The organization has 2801 authors who have published 4789 publications receiving 52426 citations. The organization is also known as: BIT.

PHYTO-PHARMACOLOGY of Berberis aristata DC: A REVIEW

Abstract: Plants have been the basis of many traditional medicines throughout the world for thousands of years and continue to provide new remedies to mankind. Plants are one of the richest sources of compounds. Berberis aristata is one of the plants used in Ayurveda for several remedies. Berberis aristata commonly known as “Daru haldhi and Chitra” is spinous herb native to northern Himalaya region. The plant is widely distributed from Himalayas to Srilanka, Bhutan, and hilly areas of Nepal. Berberis aristata is used in ayurvedic medicines from very long time. It is used as a tonic, alternative, demulscent, diaphoretic, and diuretic, in the treatment of diarrhoea, jaundice and skin diseases, syphilis, chronic rheumatism and urinary disorders. Scientific evidence suggests its versatile biological functions that support its traditional use in the orient. Phytochemical studies shows that plant Berberis aristata contains mainly yellow colored alkaloids Berberine, oxyberberine, berbamine, aromoline, a protoberberine alkaloid karachine, palmatine, oxycanthine and taxilamine and tannins, sugar, starch. The plant has effective pharmacological action and shows promising future for further researches. This review aims to highlight the ethnobotany, pharmacognostic and pharmacological uses of Berberis aristata

UIDS: a unified intrusion detection system for IoT environment

Abstract: Intrusion detection system (IDS) using machine learning approach is getting popularity as it has an advantage of getting updated by itself to defend against any new type of attack. Another emerging technology, called internet of things (IoT) is taking the responsibility to make automated system by communicating the devices without human intervention. In IoT based systems, the wireless communication between several devices through the internet causes vulnerability for different security threats. This paper proposes a novel unified intrusion detection system for IoT environment (UIDS) to defend the network from four types of attacks such as: exploit, DoS, probe, and generic. The system is also able to detect normal category of network traffic. Most of the related works on IDS are based on KDD99 or NSL-KDD 99 data sets which are unable to detect new type of attacks. In this paper, UNSW-NB15 data set is considered as the benchmark dataset to design UIDS for detecting malicious activities in the network. The performance analysis proves that the attack detection rate of the proposed model is higher compared to two existing approaches ENADS and DENDRON which also worked on UNSW-NB15 data set.