نشریه فناوری اطلاعات و ارتباطات انتظامی
پیاپی 2 (تابستان 1399)

IoT can be used for many applications in various fields. The field of health will be one of the main applications of the Internet of Things in the future. However, if the IoT is fully implemented in the field of health, we will face many challenges, one of which is data integrity. Data integrity assures us that any data sent by the sender, the same data is received by the recipient without any changes.
In this paper, a integrity data control protocol based on space and time chaos theory is proposed to be used in the smart health network. In the proposed protocol, the process of integrity control takes place in two phases of sequence sharing and data exchange. In the sequence sharing phase, the parties to the secure exchange of identity information using a space-time chaos model generate a common sequence series, according to this sequence series the sending time of validation packages in the data exchange phase will be determined. The performance of the proposed method has been evaluated from different aspects and its efficiency has been compared with the traditional data integrity control protocol. Reducing time complexity, reducing closed overhead, and reducing energy consumption compared to the traditional data integrity control protocol are some of the benefits of the proposed method. The results also show that the proposed method is safe against all types of attacks and can be used as an efficient integrity control system in real applications.

In this paper a semi supervised framework for 3D reconstruction from a single 2D image is proposed in which there are pre-trained components for reducing the need for label in training procedure. Therefore in order to train the whole framework, fewer labeled data is needed along with this fact that, using only the data for the learning procedure, there is no need to make different constraints for solving the problem. The main idea of the proposed method is fining a mapping between the 2D and 3D representation spaces by using pre-trained components for dimension reduction and a supervised mapping component. The results of performance comparison between the proposed method on different human face datasets including Besel Face Model (BFM), and the images in the wild,, and other deep learning frameworks form the literature indicates the promising performance of the proposed methods. This framework also could be useful toward making FAVA operations intelligent.

Nowadays, mobile phones have provided the opportunity to collect information and process it, in this regard, the use of mobile phones for police officers can also be very effective. In this article, it is suggested that police officers have a mobile phone in their pocket equipped with a license plate reader program to record license plate data even in normal patrols. This article provides a lightweight and accurate license plate reading method suitable for mobile devices that can be implemented in real time. In the proposed method, morphological and binary methods are used to locate the license plate, then the character segmentation is performed using the real-time thresholding method. Finally, by selecting a quick classifier and training it based on a large number of Iranian license plate character patterns, the characters are classified. The main purpose of this article has been to expose the speed of execution and accuracy with the aim of providing the possibility of real-time implementation on mobile. Due to the fact that the existing articles do not provide resources commensurate with the implementation conditions on mobile, the results of the proposed method are compared with existing real-time methods that are implemented without the need for a GPU. The simulation results show that the proposed method has the ability to read the license plate accurately along with the ability to implement it on a mobile phone almost in real time.

With the increasing use of communication in the virtual world and the growing number of users of social networks, the study and analysis of these networks seems necessary. One of the areas of interest for social media analysts is identifying communities on these networks. Different methods have been proposed to identify communities in recent years, each of which has different definitions of society. A community is usually called a group of nodes between which there is more connection than other nodes in the community. In this paper, a new community recognition algorithm based on Margaret's collective intelligence is presented. The proposed algorithm forms communities by encoding snakes (nodes) and placing nodes in the community and uses the proportionality function to check the correctness of the community, which compares the node position in the community with the main community. The evaluation results of the proposed algorithm show better performance compared to the BAT algorithm in terms of accuracy, calling, F-measurement and accuracy.

In this paper design and analysis of bandgap voltage reference with CMOS transistor for elimination of temperature and source voltage effect is presented. In this paper, by applying techniques such as the base current provider circuit to independent the output voltage from the fabrication process, as well as using a large capacitor and self- bias cascade current mirrors with high swing, the power supply rejection ratio, without affecting the spectral density power, improves. In this design self bias cascade current mirror with high swing is used for decreasing the effect of bias voltage on the output voltage.
Two base-emitter voltage with series structure is used for compensation of transistors mismatches, also it used circuits for base current compensation for designing of output voltage independent from the production process, and large capacity for removing external interference. Simulation result of designed bandgap voltage reference with ADS achieves output voltage of 1.236V; PSRR and output power spectral density at frequency of 100HZ obtained -109.94 dB and 3.072 nv/√HZ, respectively. Also, the output voltage temperature coefficient is 28.3 ppm/℃ at -40 ℃ to 120 ℃.

Memristor is the forth fundamental circuit element that has received considerable attention due to its possible applications in future nanoscale systems. This paper describes the advantages that this nanoscale elements and nanotechnology may offer in the implementation of encryption algorithms in hardware and embedded platforms. To demonstrate this subject,, an Advanced Encryption Standard core was designed and implemented in both CMOS and hybrid CMOS/nanotechnology. The resistance of both implementation s against power analysis attack was evaluated and compared. It was demonstrated that hybrid CMOS/Nano circuit provides considerable improvement over implementation with regular CMOS circuits in terms of power consumption and resistance against Differential Power Analysis (DPA) attacks without needing to apply any costly algorithmic countermeasure or using any extra circuit. Simulations were carried out using HSPICE and Cadence Spectre and the attack algorithm was written in MATLAB. The results obtained in this paper can be used in enhancing the security of the future generation of urban and commercial smart information and communication systems.

The new blockchain technology provides a new format for storing information in a database, and the transaction processing method in this technology allows for a high level of decentralization. Therefore, the application of this technology in different fields, due to the distributed and decentralized control of data, makes possible safe, scalable and efficient management of resources. A blockchain can be thought of as a sequence of connected data blocks, each of which depends on the previous block and forms a continuous chain-like data structure. In this article, after a brief introduction to the blockchain, the framework and components of this technology and its unique features besides its consensus algorithms are described. Due to the features of blockchain, this technology is used in various fields such as IoT, big data, cloud computing, identity management, smart contracts, supply chains, medical informatics and communications. In this article, we try to introduce these applications and review related research in this field. Also, considering the security vulnerabilities of the blockchain as well as its operational limitations, various challenges to the implementation of this technology are reviewed. Since transaction processing rate or throughput of blockchain systems are relatively low comparing to other databases, and on the other hand, transaction latency or response time in this technology is relatively high, improving the performance of the blockchain is an important issue. Various solutions are proposed in this field, one of which is the use of blockchain databases such as BigchainDB.