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

Data-driven effort estimation techniques of agile user stories: a systematic literature review

The blockchain consensus algorithm can be leveraged to enhance IoT security and promote the efficiency of collaboration among IoT nodes. Delegated Proof of Stake (DPoS) can simultaneously meet the low-cost and high-efficiency requirements and improve the service quality of node collaboration. However, the malicious attacks, selfishness and insufficient enthusiasm of collaborative nodes can affect DPoS consensus process. In view of these challenges, we modify DPoS consensus algorithm, and design a self-selecting abnormal data detection algorithm to identify abnormal data from malicious attacks and selfishness behavior of nodes. Meanwhile, a game theory-based reward and punishment incentive mechanism is proposed to improve the voting enthusiasm of nodes. Simulation results show that the proposed mechanism can effectively reduce the effect of malicious attacks and nodes selfishness in DPoS consensus process.

A Modified Blockchain DPoS Consensus Algorithm Based on Anomaly Detection and Reward-Punishment

In the present day, Security and Safety are the major concern for the personage. We use C-Mount monitors in order to monitor and identify, but the C-mount has too much ability to record and needs staff to monitor the unlawful movement. Mobile device like Smart phones and I pad are used to perform daily tasks that are handle by commercial computers and laptop. Be overcome, we have found RP-3 model using IOT RP-3 model is much lowered compared to existing system with more appropriate settlement and less power use characteristics an “Internet Of Thing based Theft Detection using Raspberry Pi” Project where we had to use live video photo processing to espy stealer using motion as well as focus the area where motion reoccurred. In this model, we use a RP-camera together RP-3 model together with a route with Virtual show infrared for night and Thumb drive for Data Storage. The model uses imaging to espy and emphasize the exact filed of movement in the camera when camera movement is espying. The model now transmits photo of the event via Internet of Thing, which the End user can view online. It also stores the footage for additional reference in a Thumb drive. The End user can now convert online memory transmitted via Internet of Thing, the Internet of Thing model to view photo of the movements via the internet live. The model thus offers an extra powerful approach to Internet of Thing larceny espy.

IoT Based Theft Detection Using Raspberry Pi

Effort Estimation is one of the most important factors for a successful project. Mostly it is done in the starting of the project life cycle. The vital activity in Agile project organization is a prediction of Software development this is because a project that is available in the beginning is not sufficient and moreover it is not clear because of the confliction. Getting accurate Effort Estimation for any software project has been a challenge always. In this paper fuzzy logic model is used to find Effort Estimation of Agile software development. In this model Fuzzy method is used to take the raw data of actual figures and output is given as the estimated effort available from industry. This way is more suitable when data is not available for analyzing by orthodox method. Basic idea is taken from Human where action and Inaction are not obvious, they are not clear. In this paper we will use three input variable to calculate Efforts estimation i.e User soty, Team Expertise and Complexity. In this manner, it is quite difficult to discover goals in more exact and clear simple way.

Effort Estimation of Agile Development using Fuzzy Logic

The Internet of Things digitizes physical assets like sensors, devices, machines, gateways, and the network. IOT connects people to things and things to things in real time. Smartphones, Tablets, wearable technologies, and smart home devices are now being adapted in everyday lives. As the nature of IOT is heterogeneous due to its evolving technologies in several areas. People, devices and organizations are connected in IOT environment. This situation presents many imperatives and confinements. Therefore it is critical to guarantee security that incorporates validation in a proper way. Therefore a well-defined framework should be designed to eliminate the threats that IOT possesses in terms of security. In this paper, a structure has been presented for mobile devices that implements confirmation and authorization.

Security Implications in IoT using Authentication and Access Control

This paper mainly focuses on the security issues and challenges that we can face during operating of any e-healthcare devices. In this paper, functions of various applications in the domain of internet of things when combined with cloud computing platform are shown. The four layer architecture of perception, transportation, support, and application has been implemented in the IoT domain for healthcare sector. It focuses on how it can make everyone’s life easy and secure and will help healthcare center to keep record of their patients. Security issues and challenges at the perception layer of smart healthcare is the initial step to recognize the problem of the health sector. This paper will also deliberate upon the security issues in the perception layer of the smart healthcare. This paper will help to make changes that people face in health care sector

Security Issues and Challenges in Perception Layer of Smart Healthcare

Internet is become the most used medium for communication of information like text, images, videos etc. The information exchanged on internet is through unsecured network, maintaining security of the information is the most important issue. To secure information from unauthorized users, there is need to convert the information into an unrecognizable format. Visual cryptography is the best known techniques which encrypts an image into n number of shares and decrypt the image with the human visual system without any additional mathematical computations.This paper proposes an improved color image security algorithm. The algorithm encrypt and decrypt the color image using the decomposition of RGB components (sieving), Pixel shuffling, RC4 cipher algorithm, image division and combining using visual cryptography to result in shares of image. The generated encrypted shares are further shared over the network.

Digital Image Security Using Hybrid Visual Cryptography

Clustering of n-dimensional data into classes is consistent problem of research, Large number of efficient clustering techniques are in literature and still more are in development. K-means and Spherical K-means are standard clustering methods which are frequently used. Euclidean distance and cosine distance are mainly used by clustering methods. Data distribution is always non-linear and distributed in n-dimensional hyper sphere. Euclidean distance did not take care of topology of the hyper space. Clustering of data using spherical K-means clustering is done through mapping all data points in hyper sphere to the nearest cosine angular distance, but both do not take care of geodesic distance between the points on the surface of the hyper sphere. In this paper new mathematical dynamic clustering approach has been proposed which take care of topology of the data distribution between various clusters and geodesic distance between the points with in the cluster. Theoretical and mathematical results are discussed and empirically verified on the iris data set.

Sunil Kumar Khatri

Papers

Effort Estimation of Agile Development using Fuzzy Logic

Security Implications in IoT using Authentication and Access Control

Security Issues and Challenges in Perception Layer of Smart Healthcare

Digital Image Security Using Hybrid Visual Cryptography

Dynamic Clustering of n-Dimensional Data on Tangential Space