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Research Paper

Android privacy leakage detection using static analysis

The quantity of Android apps has grown explosively in re- cent years and the wide variety of apps leaking non-public facts has additionally grown. it's far necessary to make sure all of the apps are not leaking non-public information before putting them to the app markets and thereby a privateness leaks detection tool is wanted. We endorse a static taint evaluation approach that leverages the control-flow graph (CFG) of apps to locate privateness leaks among Android apps. We tackle three troubles related to inter-element verbal exchange (ICC), the lifecycle of components, and the callback mechanism making the CFG imprecision. To bridge this gap, we ex- implicitly join the discontinuities of the CFG to provide a unique CFG. based totally on the ideal CFG, we goal at offering a taint evaluation method to locate intra-factor privateness leaks, inter-factor privacy leaks, and additionally inter-app privacy leaks.

Published by: Harsh Jha, Manish Verma, Prashant Gautam

Author: Harsh Jha

Paper ID: V8I2-1275

Paper Status: published

Published: April 15, 2022

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Others

Microservices: Architecture, containers, and challenges

Microservices (also known as microservices architecture) is a cloud-native architectural paradigm in which a single application is built of several loosely connected and independently deployable, tested, or developed. The microservice architecture concept says, that you break a big application into small bodies into small services of loosely coupled applications of services. This paper discusses monolithic architecture, service-oriented architecture and microservice architecture, and then container technology. Then move on to microservices challenges.

Published by: Rohan Talekar

Author: Rohan Talekar

Paper ID: V8I2-1282

Paper Status: published

Published: April 15, 2022

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Research Paper

Role of judiciary in Indian economy & economic cost of delay in justice

At present India is said to be the third-largest economy in the world in terms of PPP (Purchasing Power Parity). Our service sector is growing rapidly and contributes around 56 % of the national income. To maintain a high growth rate of national income, our law & order, particularly the judiciary needs to improve then only FDI, FII, trade, and industry will get legal protection to develop. Delay in court cases creates fear in the minds of trade and commerce. The common public is scared to approach the police and judiciary. There is a huge cost to the economy, around 1.5 to 2 % of GDP, due to delays in court cases. Due to the inefficiency of the police and judiciary, people are taking the law into their hands, and the cost to handle such a lawless situation is extremely high in our country. This paper tries to identify such costs and remedies to improve the Indian judiciary.

Published by: Dr. Ravikiran Ramanand Garje

Author: Dr. Ravikiran Ramanand Garje

Paper ID: V8I2-1283

Paper Status: published

Published: April 14, 2022

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Review Paper

Review of image segmentation techniques

Image segmentation is considered to be one of the most important image processing processes. Image segmentation is the process of dividing or partitioning an image into parts called segments. It's most useful for applications like image compression and object recognition because processing the entire image is inefficient in these cases. As a result, image segmentation is used to separate the image's parts for further processing. Several image segmentation techniques exist, which divide an image into multiple parts based on image features such as pixel intensity value, color, texture, and so on. The segmentation method is used to categorize all of these techniques. The various image segmentation techniques are reviewed in this paper.

Published by: Rohan More

Author: Rohan More

Paper ID: V8I2-1281

Paper Status: published

Published: April 14, 2022

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Research Paper

Predicting the power of Combined Cycle Power Plant

With the rising share of renewables in the energy mix, there is a need for alternative flexible power capacity to mitigate its intermittency. The emerging role of the aggregator is important in untapping the potential of new flexibility sources. An aggregator bundles the flexibility of distributed generation and demand response, and offers the collective resources to wholesale electricity markets. This technical aggregation is referred to as a Virtual Power Plant (VPP). The main aim of this paper is to work towards a model to estimate flexibility characteristics of aggregates of DR (demand response) and DG (distributed generation) to better provide smart grid services from those aggregates in existing and future wholesale markets. This knowledge is the missing connection to ensure capabilities of real-time response into energy markets with a fixed time control loop. Traditionally this has been done using detailed information on device makeup of a virtual power plant (VPP), i.e with detailed knowledge of flexible device state and their performance capabilities. This low level detailed knowledge requirement presents barriers such as performance and security of private information. Therefore, this paper will investigate the applicability of machine learning techniques using only currently available market information to black box estimate aggregate flexibility characteristics, specifically capacity available during run-time and longevity, the amount of time a power deviation can be maintained.

Published by: Gopi Edimudi, Katika Arshad, Mohammed Muzammil

Author: Gopi Edimudi

Paper ID: V8I2-1259

Paper Status: published

Published: April 13, 2022

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Research Paper

Assessment of Groundwater Quality for Drinking and Irrigation in Watershed Boundary-Bachannapet Region, Jangaon District, Telangana State, India

A of total forty samples were collected and analyzed for major ion chemistry of the groundwater quality and its suitability for drinking as well as irrigation purposes. The pH ranges from 7.76-9.26 and 7.45-8.68 indicating the water is slightly alkaline condition. TDS ranges from 95-655 mg/l and 147-1184 mg/l during pre and post monsoon season. Total Hardness (TH) ranges from 95-655 mg/l and 88-510 mg/l; Chloride ranges from 28-877 mg/l and 22-706 mg/l during pre and post season respectively. The majority of the samples are suitable for domestic purposes due to low to medium hardness, however few samples are described as very hard and unsuitable for domestic, drinking and irrigation purposes. Various indices like Salinity Index, Sodium Absorption ratio (SAR), Kelly’s ratio (KR), Permeability Index (PI) and Water Quality Index (WQI) are used to classify groundwater and surface water for drinking as well as irrigation purposes. Besides this, Piper, Wilcox, and Gibb’s plots were studied for geochemical controls and Hydrogeochemistry of groundwater.

Published by: MD. Ameena Begum, J. Ratnakar

Author: MD. Ameena Begum

Paper ID: V8I2-1247

Paper Status: published

Published: April 12, 2022

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