When looking at the daily life flow and working sectors, it is seen that almost all work and transactions are carried out electronically. It performs many data streams in the electronic transactions performed. The importance of information security is exactly at this point. To ensure the security of the data, the journey of the data between the sender and the receiver is encrypted. In this study, a hybrid application that creates encrypted text using genetic algorithm and particle swarm algorithm has been developed. In the first step of the study, two separate keys were generated to encode the message using the genetic algorithm and particle swarm algorithm. Shannon Entropy method was used as a fitness function in both algorithms. The message was encrypted with the genetic algorithm method by choosing the key that obtained the best result from the compliance function. The encrypted message was decoded by applying a reverse genetic algorithm to the recipient. The encryptions made using the generated key were measured and the results of the AES algorithm were compared. In the proposed model, successful performances were obtained as the maximum switching space and encryption time for encryption. As a result, the proposed application offers an alternative method of data encryption and decryption that can be used for message transmission.

IoT provides big contribution to healthcare for elderly care at home. There are many attacks in IoT healthcare network which may destroy the entire network. A propose a framework may be produced an efficient treatment for elderly care at home with low power consumption. A framework contains three phases names; medical data collection layer, routing and network layer and medical application layer. It intends to increase security performance through prediction and detection attacks in real time. Cooja simulator is used for generating real-time IoT routing datasets including normal and malicious motes based on different types of power. The generated IoT routing dataset using data augmentation (SMOTE) to increase the size of dataset. The preprocessing of the generating dataset using three methods of feature selection which are weight by rule, Chi-Squared and weight by tree importance using random forest reduce noise and over-fitting. A proposed model uses convolution neural network (CNN) to detect and predict IoT routing attacks to identify suspicious network traffic. A number of studies have been carried out in this area, but the issue of the extent of the impact of attacks on energy consumption is an interesting topic. Attacks can affect the network completely, in particular on the power consumption of smart devices. Therefore; the main target of this research is detecting and predicting different types of IoT routing attacks which have impact on power consumption and destroy the entire network. This work analyzes the impact of IoT routing attacks on different power consumption using CNN to achieve low power consumption by detecting different types of routing attacks. The experimental results show CNN can detect different types of attacks that have a bad impact on power consumption. It achieves high accuracy, precision, recall, correlation and low rate in error and logistic loss and this leads to decrease power consumption.

Election Commission of X City is an institution that serves as the organizer of elections in the X City, which has a website as a medium in the delivery of information to the public and as a medium for the management and structuring of voter data in the domicile of X City. As a website that stores sensitive data, it is necessary to have risk management aimed at improving the security aspects of the website of Election Commission of X City. The Information System Security Assessment Framework (ISSAF) is a penetration testing standard used to test website resilience, with nine stages of attack testing which has several advantages over existing security controls against threats and security gaps, and serves as a bridge between technical and managerial views of penetration testing by applying the necessary controls on both aspects. Penetration testing is carried out to find security holes on the website, which can then be used for assessment on ISO 31000 risk management which includes the stages of risk identification, risk analysis, and risk evaluation. The main findings of this study are testing a combination of penetration testing using the ISSAF framework and ISO 31000 risk management to obtain the security risks posed by a website. Based on this research, obtained the results that there are 18 security gaps from penetration testing, which based on ISO 31000 risk management assessment there are two types of security risks with high level, eight risks of medium level security vulnerabilities, and eight risks of security vulnerability with low levels. Some recommendations are given to overcome the risk of gaps found on the website.

Designing a reliable system on reconfigurable devices has become a significant factor for implementing mission critical applications like communication protocols, automotive, nuclear reactor control, and remote applications. With the improvement in fabrication technology, logic density of the field programmable gate arrays has increased rapidly. Because of decrease in feature size, integrated circuits are becoming vulnerable to errors and also the ageing component results in run time faults. FPGAs when used in harsh conditions like high radiation and temperatures, there is a possibility of getting affected by transient faults or the soft errors. In digital communication, safety and confidentiality of data is achieved through a suitable encryption algorithm. Encryption is most important aspect when it comes to security. Reliable design techniques are very much necessary for maintaining the system’s normal function. Many of the available techniques are based on redundancy logic causing area overhead for the design. Through this paper, an implementation is illustrated for managing soft errors or the single event upsets. Proposed methodology identifies and avoids the errors occurring at the logic resources where the encryption algorithms are mapped on the device. Thus encryption algorithms work normally without getting affected by the errors. During the simulation process, errors are injected at the configuration memory frames and monitored using a Single event-upset manager (SEM) controller. The proposed design is implemented on Zedboard using Xilinx Vivado 2017.4.

One of the rights of citizens in any democratic society is to freely elect a particular candidate into a specific office for governance. This implies that among the candidates participating in an election, one of them would emerge as a winner based on the specified rules and regulation. The recent reports on the election in different parts of the world revealed that the corrupt politicians and corrupt election officers did manipulate the sensitive results thereby leading to undesired candidate emerge as a winner. This implies that election results had not been adequately secured against an attack such as alteration for false results. This paper reviewed scholarly published work and presented a novel technique using visual semagram to satisfy the confidentiality requirement of the electronic voting system. The mathematical equations on how the three primary additive colours (Red, Green and Blue) could be used to modify and conceal the election results against suspicion and alteration were presented. The significance of this paper included the presentation of a technique that would conceal any sensitive message from attackers’ suspicion and scholarly piece of information for further investigation in handling insecurity issues. The future work would involve the implementation and evaluation of the proposed technique to achieve the confidentiality requirement of the e-voting system, and to establish the validity and reliability of proposed technique.