A large number of sensors and intelligent devices are interconnected via the internet to collect data as part of the internet of things (IoT) applications. Data security is one of the important challenges for these applications due to vulnerability of the internet. IoT devices limiting factors, such as delay-sensitivity, restricted memory, and low computing capability, make choosing the appropriate data encryption standard extremely important. The current research focuses on evaluating four data security, block cipher standards for the IoT smart home application. Considering the encryption/decryption speed, DES, TDES, AES, and SAFER+ standards are evaluated by implementing the algorithms with MATLAB to determine the best security solution. The simulation of the four standards shows the superiority of SAFER+ standard in term of encryption speed compared to others added to its capabilities on security, and software implementation opportunity. The use of classical symmetric key standards for real time data security in the IoT application can be validated through the selection of SAFER+.

In this paper, the predictive schemes of reducing call termination during handoff in Code Division Multiple Access (CDMA) system using position location in the required handoff area with minimum false handoff, where the mobile station (MSs) are located randomly in the cell and each MS has call duration, speed and direction, the speeds and directions of the MSs are varied. The signals between the MSs and Base Stations (BSs) are dealt with by using position estimation method using time difference of arrival (TDQA) of the signals, estimation of the variable MS location, knowing the speed and the direction leading to a neighboring cell. The results obtained comply with Federal Communication Commission (FCC) which is internationally adopted. Also, the blocking probabilities for handoff and for new calls using Predictive Channel Reservation (PCR) scheme and Guard Channel (GC) are studied. The results show that predictive scheme reduces the blocking probability depending on the number of reserved channels. MATLAB software (version 7.6) was used to perform the simulation programs.