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In this Digital World, maximum information is processed in online mode and Attacked by cyber threats. There are large number of cyber threats which has been developed technically with growth in modern living habits. This lead detecting Cyber-attacks in early stages. Behind Cyber-attacks there is motivation or unknowingly done. The attacks which are done knowingly are considered as cyber-crimes. These cyber-crimes show huge impact on society in the form of psychological disorder, economical disrupt, threat to National defence etc. cyber crimes restriction should be dependent on analysis of different behaviours of attacks and understanding their impacts on different levels of society. Therefore, "this paper presents the understanding of cyber-crimes and their impacts on society with their future trends". [ABSTRACT FROM AUTHOR]

The two key high-class data science methods are deep learning and big data analytics, where big data plays a crucial role as both private and public agencies gather extremely voluminous usable data even though it may have problems such as cyber security, national intelligence, marketing, identification of fraud, etc. The vast volume of data is routinely processed by many organisations and businesses. In order to make it meaningful and usable for data analytics, deep learning technology abstracts high and complicated unsupervised data across multiple layers of learning processes. Aspects of deep learning analysis was explored to explore the problems faced by big data analytics such as high-dimensional streaming data, distributed computation, and model scalability. This paper describes the related future work using domain modelling for adaptation, specification of data sampling parameters, enhancement of semantic indexing, active learning, and semi-supervised learning. [ABSTRACT FROM AUTHOR]

Today, the current trend is utilizing the smart devices that provide comfort and security to the users. Now-a-days, most of the devices are developed with in-built advanced security provisions such as fingerprints, face recognition along with the traditional security provisions such as password and drawing a pattern. Almost all the smart phones have these two features to unlock the screen whereas the more secured feature is face recognition of a person as every human has unique features and expressions. Face recognition has a lot of scope for research work as it is an emerging technology used in all the devices. This paper presents description of face recognition, its implementations, various face recognition techniques and algorithms developed for mobiles, client-server systems etc. along with the various algorithms for the detection of face liveness of a person based on blinking of eyes. [ABSTRACT FROM AUTHOR]

In this busy world, there is an estimation of 3.5 exabytes of information data been generated in a single day and the data is shared on more than 10 million computing devices. As We, human beings are wholeheartedly dependent on the digital based computing devices for knowledge sharing by means of text and image information for each and every commotion of the day. Now, the sustenance of life without computing is considered as perplexed. As per a report submitted by association of semiconductor industries which states that by 2040, it is not possible to provide power to computer machine which is available in good running conditions present throughout the globe. It's a known fact that the fundamental functionality of a computer system to modify and save the information data. Presently all the computer systems are using the classical technique to manipulate the data using single bits that stores the information data in form of 0's and 1's. [1To overcome the inability stated by semiconductor industry, the quantum physics has come up with a new concept which specifies that the quantum elements have the tendency to move in both directions i.e. fore and rear directions and its presence can be felt in both places at same time and travel itself instantly]1. This peculiar tendency of quantum particles had lead to quantum computing. The most critical property of quantum computing is its enhanced asset for characterization and construction of information data. A mechanism is developed to work on various operations for computation of information data. Qubits i.e quantum bits are used in Quantum computing, it consist of a third state excluding the traditional data states 0 and 1.Hence the time duration taken by quantum computing to modify the information data is much lesser than that of traditional computing. In this paper, we try to explore the concepts of quantum computing, how it is related to physics, how it can be used and implemented. [ABSTRACT FROM AUTHOR]

In every part of our life, we are expecting some sort of good result based on our experiences or through the information about that particular similarly a prediction is generated after extracting a large volume of information which is used for analysis. Prediction of results is the important aspect is necessary to make a sustainable decision through means of latest technology such as deep learning and machine learning. The layers of artificial technology require algorithms and coding to predict a solution. Before creating an algorithm model, there is need for communication with the stakeholders and users to confirm whether the extracted data for creating a model is helpful or not. To build a model we need Ontology which is a technical concept that consist of all required factors such as output results of classification, identification of basic idea and verify the critical information which had been contoured. In this paper, we try to discuss the various aspects of ontology and how it is compactable with artificial intelligence and internet of things. [ABSTRACT FROM AUTHOR]

The quick development of office infrastructure as well as additionally industrial plants and also the use of vehicles generating ecological concerns like contaminants (Water, Air, Noise), weather changes. Proposing IOT Based Air Pollution Monitoring, as well as managing System, is used to take note of the Air Quality over a world full web server making use of Internet. It will undoubtedly turn on a sharp when the air quality drops past a details level, suggests when there are an adequate number of hazardous types of gasoline present in the air like CO2, smoke, alcoholic drinks, benzene, NH3, NO2 and also a wide range of Volatile Organic Compounds like Alcohols, Aldehydes, Ketones, Organic Acids, Amines, Aliphatic along with Aromatic Hydrocarbons. TVOC is a group of a variety of organic chemical compounds. The volume of pollution in the air could be evaluated by examining the contaminants, including humidity level, temperature level, dust volume, CO volume, smoke cigarettes level, etc. discovered airborne in that area. Provided right here, our pros prepare an air-cost contamination monitoring system that allows us to track and inspect real-time air quality in a specific location with IoT. In purchase to acquire total VOC aspects along with high-accuracy dimensions, standard air top quality monitoring and also prophecy units make use of high-accuracy sensing units gotten in touch with "CCS811 Air Quality Sensor ". to track the air quality along with Also, cloud processing has been combined into an Internet holding web server for analyzing the info coming from the device to categorize as well as also picture internal air high quality depending on to the requirements. The host server shops all information in the cloud to give relevant information for added review of your first class in your home air and also, this general set may be managed on relocating vehicles like vehicles, buses to check out the ambiance in various locations. [ABSTRACT FROM AUTHOR]