International Journal of Computer and Applications

Technical foundations introduction software reliability and system reliability the operational profile software reliability modelling survey model evaluation and recalibration techniques practices and experiences best current practice of SRE software reliability measurement experience measurement-based analysis of software reliability software fault and failure classification techniques trend analysis in validation and maintenance software reliability and field data analysis software reliability process assessment emerging techniques software reliability prediction metrics software reliability and testing fault-tolerant SRE software reliability using fault trees software reliability process simulation neural networks and software reliability. Appendices: software reliability tools software failure data set repository.

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Handbook of software reliability engineering

This paper summarizes the current state of the art and recent trends in software engineering economics. It provides an overview of economic analysis techniques and their applicability to software engineering and management. It surveys the field of software cost estimation, including the major estimation techniques available, the state of the art in algorithmic cost models, and the outstanding research issues in software cost estimation.

Software engineering economics

Big data has generated strong interest in various scientific and engineering domains over the last few years. Despite many advantages and applications, there are many challenges in big data to be tackled for better quality of service, e.g., big data analytics, big data management, and big data privacy and security. Blockchain with its decentralization and security nature has the great potential to improve big data services and applications. In this article, we provide a comprehensive survey on blockchain for big data, focusing on up-to-date approaches, opportunities, and future directions. First, we present a brief overview of blockchain and big data as well as the motivation behind their integration. Next, we survey various blockchain services for big data, including blockchain for secure big data acquisition, data storage, data analytics, and data privacy preservation. Then, we review the state-of-the-art studies on the use of blockchain for big data applications in different vertical domains such as smart city, smart healthcare, smart transportation, and smart grid. For a better understanding, some representative blockchain-big data projects are also presented and analyzed. Finally, challenges and future directions are discussed to further drive research in this promising area.

A Survey on Blockchain for Big Data: Approaches, Opportunities, and Future Directions.

Autonomous vehicles (AVs) attract a lot of attention recently. They are expected to assist/replace the human drivers in maneuvering the vehicle, thereby reducing the likelihood of road accidents caused by human error, as a means to improve the road traffic safety. However, AVs have their inherent safety and security challenges, which have to be addressed before they are ready for wide adoption. This paper presents an overview of recent research on AV safety failures and security attacks, as well as the available safety and security countermeasures.

A review on safety failures, security attacks, and available countermeasures for autonomous vehicles

With the rapid development of Information Technology (IT) industries, data or information security has become one of the critical issues. Nowadays, Blockchain technology is widely using for improving data security. It is a tool for the individual and organization to interchange the digital asset without the intervention of a trusted third party i.e. a central administrator. This technology has given the ability to create digital tokens for representing assets, innovation and likely reshaping the scenery of entrepreneurship. Blockchain has several key properties, such as decentralization, immutability and transparency without using a trusted third party. It can be used in several fields, such as healthcare, digital voting, Internet of Things (IoT) and many more. This study aims to discuss the fundamentals of Blockchain. In this paper, the technology or working procedure of Blockchain including many applications in several fields are discussed. Finally, future work directions and open research challenges in the domain of Blockchain have been also discussed in detail.

The Revolution of Blockchain: State-of-the-Art and Research Challenges

Vehicular Ad hoc Network could manage the various critical issues of road transport. That is why it is the most crucial field of research for most of the researchers. This survey paper discusses various issues related to Security Challenges, Security Architecture actors, Security Authentication, Application Constraints, various trust models etc. this paper encourages you to think about various fields of work need to be carried out in this field for the better VANET environment. Various schemes have been mentioned which could be improved further as per considering various real time conditions.

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Security Challenges, Authentication, Application and Trust Models for Vehicular Ad Hoc Network- A Survey

Internet of Things (IoT) is an emerging technology which is making our world smarter. The development of the IoT network with its related technologies has upgraded home and lifestyle. Moreover, in most of the cases, the problem in securing home depends on the physical presence of a human in the home. This paper gives the design of Home Security Surveillance System and Automation using Raspberry Pi, Sensors, IoT module. Different type of sensors is used like Infrared (PIR) sensor, LPG gas sensors, Fire detecting sensors etc which are connected to the Raspberry Pi. Raspberry Pi is a tiny supercomputer which performs signal fetching and processing. After the process it alerts to the owner via email, text or phone call. The major advantage is that the owner can seek surveillance from any part of the world and can perform action according to the situations.

IoT based Smart Home Surveillance and Automation

Penetration of media in financial market has changed the way of doing business, media, one of the most growing medium to exchange ideas & thoughts, which plays an important role in influencing thoughts of the investors which in turn affects market transactions figures and index values. Thus machine learning and sentiment analysis can be of great help in deducing the mood and psychology of people which affects the market and thus can help us to predict the actual statistics. In this research work, sentiment analysis was formulated on data from social media which is classified using classification algorithm of machine learning. The classified data is analysed to calculate the net mood of the comments. These comments are classified into four classes' namely happy, hope, sad, disappointing. The net relative mood of all the classes per day is used as input for artificial neural network (ANN) to be trained for data of n days and their respective change in index value on each day. This trained network is finally used to predict the vector of Bombay Stock Exchange index value for (n+1)th days.

Sentiment analysis to predict Bombay stock exchange using artificial neural network

Steganography is used to hide the secret information within a cover media in such a way that the existence of the message could not be noticeable. Here we are considering audio file as cover media and text message as secret information. The secret information is embedded in a cover media as noise as the HAS cannot detect the sound less than 20Hz or greater than 20000Hz. Generally LSB algorithm is used to embed the secret information within a cover media. Here we are using genetic programming to increase the robustness of the data so that the secret data could not be noticeable as far as possible.

Prashant Johri

Papers

The Revolution of Blockchain: State-of-the-Art and Research Challenges

Security Challenges, Authentication, Application and Trust Models for Vehicular Ad Hoc Network- A Survey

IoT based Smart Home Surveillance and Automation

Sentiment analysis to predict Bombay stock exchange using artificial neural network

Review paper on text and audio steganography using GA