Volume 9 | Issue 7 |

 Abstract

Internet of Things (IoT) is a domain wherein which the transfer of data is taking place every single second. The security of these data is a challenging task; however, security challenges can be overcome with cryptography and steganography techniques. These techniques are crucial when dealing with user authentication and data privacy. In the proposed work, the elliptic Galois cryptography protocol is introduced and discussed. In this protocol, a cryptography technique is used to encrypt confidential data that came from different medical sources. Here we try to encrypt the Image and send through network from sender to receiver.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Internet of Things, cryptography, steganography, Image, Encryption, Decryption

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Now a days there is a huge demand and interest in using path identifiers (PIDs) for data communication .These PIDs act as a inter-domain routing objects to avoid distributed denial-of service (DDoS) attacks. As we all know that path identifer are designed earlier , those are static in nature and hence it is very easy for the attackers to create any attack on a fixed path. To address this issue, in this present application we try to design and implement a novel path identifiers for data communication like dynamic D-PID, a framework that is not at all implemented in any DTNs till today. In DPID, the PID of an inter-domain path connecting two domains is kept secret and changes dynamically, so there is no chance for any attacker to identify which path the data is travelling and he cant able to convert nodes into faulty state. We simulated our application using socket programming language along with java network package to verify the effectiveness and cost. The results from both simulations and experiments show that dynamic nature of identifying faulty nodes and providing alternate path for data transfer can effectively prevent DDoS attacks.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

INTRUSION DETECTION USING DANGER OR NORMAL MODE

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Nowadays almost all the users try to exchange their day to day updates in their life on online social networks like Facebook, Twitter, and a lot more. In general, the users want to tweet on some friend's tweets either in a positive manner or in a negative manner based on their original feelings. In a recent survey report, there are a lot of posts that are contained in shameful tweets with some shameful related comments and replies. These tweets may contain some times information about political, social, and financial life with some shameful related messages, hence there is no method to identify these types of tweets automatically and try to display these tweets separately. Hence in this proposed application, we try to design a new method that can able to identify the tweets and its inner meaning of those tweets and try to categorize the tweets into separate categories like positive, negative, and shameful. Here we try to use Feature Extraction Method along with SVM Classifier algorithm for classifying the shameful tweets and normal tweets individually.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

DETECT AND IDENTIFY THE SHAMEFUL TWEETS ON TWITTER SOCIAL NETWORK

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Machine Learning (ML) field has gained its momentum in almost any domain of research and just recently has become a reliable tool in the medical domain. Identification of the plant diseases is the key to prevent the losses in the yield and quantity of the agricultural product. The studies of the plant diseases mean the study of visually observed patterns seen on the plant. Health monitoring and disease detection on the plant is very critical for the substantial growth. It is very difficult to identify the diseases on the plant manually and provide the treatment for that appropriate disease. It requires a tremendous amount of work experience and should be expertise in the plant diseases and also requires excessive time for processing. Here in this proposed application we try to find out the disease of the plant based on the inputs which we observe physically on any plant. For any plant there are 5 levels of disease occurrences: Stem Level, Leaves Level, Seed Level,Lessions Level, Plant Level. So any disease on the plant can be either of these five levels. We try to design an medical dictionary in which all the physical inputs are substituted according to any of the level and then try to detect which disease plant is suffered with and it will try to provide cure for that appropriate disease. Our evaluation results on the proposed method using ML approach for identifying diseases on plant able to identify the diseases accurately and try to provide a solution for the end users.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Plant Diseases, Machine Learning, Medical Diseases

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Online shopping and opinion mining have gained more and more importance due to the emergence of the world wide web and a lot of e-commerce web sites. As we as a whole realize that clients are attempting to buy every single thing through online as opposed to visiting the shops legitimately for those things. Online business is becoming quicker than anticipated all things considered up over 98% analyzed before. As clients have the simplicity to purchase things without investing a lot of energy there are additionally a few hoodlums who attempt to extortion and get benefit in unlawful manners. As individuals are getting a charge out of the focal points from web based exchanging, programmers are additionally taking favorable circumstances to achieve criminal operations against certified clients so as to get deceptive benefit. In this paper we mainly design a online model which can able to detect and identify the user reviews in early manner based on users individual reviews and opinions for the products. Finally we show that this model can probably distinguish primitive e-commerce sites and current site and extensively decrease customer complaints which are based on real-world online fraud detection.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Real World, Online Fraud Detection, Reviews, Early Reviews , Individual, Online Model,Pro-Active.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Heterogeneous web media consists of many visual concepts, such as objects, scenes and activities, that cannot be semantically decomposed. The task of learning fundamental visual concepts (FVCs) plays an important role in automatically understanding the elements that compose all visual media, as well as in applications of retrieval, annotation, etc.In this project we try to apply annotations for all the images which are uploaded in the online web by taking neighboring concept distributing (NCD) attribute ,in which those which are having some similar difference will be added with same type of annotation and then they are tagged.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

FUNDAMENTAL VISUAL CONCEPT LEARNING FROM CORRELATED IMAGES AND TEXT ANNOTATION

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

GIVING BACK TO SOCIETY: CORPORATE SOCIAL RESPONSIBILITY AT NALCO AND IMFA

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

GIVING BACK TO SOCIETY: CORPORATE SOCIAL RESPONSIBILITY AT NALCO AND IMFA

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Training is a learning experience, in that it seeks a relatively permanent change in an individual which will improve his (or) her ability to perform on the job. We typically say training can change the skill, knowledge, attitude and social behavior. It means changing what employees know, how they work, their attitude towards their work or their interaction with their co-workers or their supervisors.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Perform, Interaction, Behavior, Leadership

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Now a days, creative advertisements plays very significant role to achieve the success among competitive advertising. Creative advertisements are helpful in generating a favourable response from consumers and build long term relationship with them. The purpose of this research is to identify the key factors of creative advertisements on customer loyalty in banking sector. This study will be beneficial to understand the perspective of consumers towards loyalty. The study is conducted among 147 individuals in the city of Indore to find out their perception towards creative advertisements. The study is based on primary data that were collected through closed ended questionnaire. The results were analysed with the help of factor analysis and regression analysis. Results of this study can help marketers, organizations and advertisers in formulating effective strategies to engage with the target market.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Creative advertisements, Customer loyalty, Consumers, Organizations, Advertisers, Effective strategies

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The purpose of this study is to present an overview of how artificial intelligence (AI) might be utilized to solve health problems caused by autoimmune illnesses. More than 80 kinds of autoimmune disorders impact a wide array of areas of the body. Diagnosis may sometimes be challenging since these symptoms might mimic those of other more prevalent diseases. Autoimmune system diseases are characterized by either unusually low or excessive immune system activities [1]. When the immune system becomes too active, the body fights and destroys its tissues. Immune deficiency disorders weaken the body's capacity to combat intruders and make infection vulnerable. The immune system may produce antibodies in reaction to an unexpected cause, which targets their tissues rather than combat infection. In general, autoimmune disorders are treated by decreasing immune system activation [1]. In the last decade, the treatment plan for self-immune illnesses has changed significantly, leading mainly from precision medicine to precise health and from precise efforts in the healthcare system [1,2]. To comprehend and apply these methods pragmatically, the motivations, gaps, and limits of precision medicine need to be understood. The importance of earning the confidence of the people and patients cannot be overstated, but it is important to recognize that innovations like artificial intelligence still necessitate context, which can only be made available by human intervention, or what is known as augmented machine learning.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial Intelligence, Autoimmune diseases, Biomarkers, machine learning, genetics, genomes

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Creative Commons Attribution 4.0 and The Open Definition