Department of Computer Architecture Engineering
The Department of computer architecture engineering is a leading center for education and research in computer architecture engineering. With expert faculty, modern facilities, and a strong focus on innovation, we prepare students for successful careers and academic excellence. Join us and be part of a dynamic learning community shaping the future.
Welcome to the Department of computer architecture engineering, one of the leading academic and research centers in the field of computer architecture engineering. With distinguished faculty members, advanced educational facilities, and a dynamic research environment, our faculty provides an excellent platform for the development of knowledge and specialized skills.
Our goal at the Department of computer architecture engineering is to nurture competent, creative, and dedicated graduates who can play a significant role in scientific, industrial, and social fields. Our academic programs emphasize the latest scientific resources, applied research, and continuous interaction with the industry, preparing students for both professional careers and further academic pursuits.
One of the attacks in the RPL protocol is the Clone ID attack, that the attacker clones the node's ID in the network. In this research, a Clone ID detection system is designed for the Internet of Things (IoT), implemented in Contiki operating system, and evaluated using the Cooja emulator. Our evaluation shows that the proposed method has desirable performance in terms of energy consumption overhead, true positive rate, and detection speed. The overhead cost of the proposed method is low enough that it can be deployed in limited-resource nodes. The proposed method in each node has two phases, which are the steps of gathering information and attack detection. In the proposed scheme, each node detects this type of attack using control packets received from its neighbors and their information such as IP, rank, Path ETX, and RSSI, as well as the use of a routing table. The design of this system will contribute to the security of the IoT network. © 2021 IEEE.
Industry 4.0 provides a framework for applying new technologies in industrial environments to boost the efficiency and intelligence. A recently blossomed technology in Industry 4.0 is Internet of Things (IoT), which allows us to create a smart environment by connecting various equipment. One of the main applications of IoT in a smart factory is to design monitoring systems, which helps put the behavior of devices under permanent and comprehensive supervision. However, the rapid growth and change in the monitoring facilities creates a big challenge for people who either want to use that equipment in Industry 4.0, or want to update the systems to benefit from this technology. To address this problem, this paper presents new approach based on model-driven engineering paradigm, for simplifying the design and development of real-Time monitoring systems in an industrial environment. Our approach includes a domain-specific modeling language, a graphical editor, and model-To-code transformations that generate a hardware descriptive code, a mobile application, and a web application for a monitoring system. To evaluate the applicability of our approach, a scenario in the power industry has been designed, which offers user a VHDL code, a mobile application, and a web application for monitoring processes of the plant. © 2020 IEEE.
This paper describes an encryption system for analog signals based on permutation of samples. The scrambling algorithm is based on the permutation of the samples and provides highly secured scrambled signal by permuting a large number of those samples. The algorithm for generation the permutation matrices is explained. Important items to be considered in designing the system are discussed such as choice and construction of permutation matrices, and configuration of the practical scrambling system. C programming language was used for simulation. The results of simulation and tests shows that proposed scrambling achieve extremely high-level security. The method of choice and generation of permutation matrices, Tompkin-Paig algorithm and maximum length shift register are discussed. Simulations of different parts of the system, include scrambler, descrambler and generation of permutation matrices programs are provided. Miscellaneous methods of objective tests are described. Theoretical and simulation results of these tests are also provided. © 2002 IEEE.
The considerable growth of the number of networked devices in the world has led to the development of various and new programs in the field of IoT, which are often limited to the current network infrastructure, on the other hand, force the network administrator to implement complex network policies manually. Due to this congestion of equipment as well as the increasing complexity of traditional network configuration, Software-Defined Networks (SDNs) facilitate network management by separating the control and data layers and creating network rules. For these facilities, these networks appear to be a good infrastructure for IoT networks will enable network programming to develop new and more efficient services to meet real needs. In addition, the variety of IoT equipment can increase complex and inconsistent network rules in SDN-based switches, making network management difficult. Accordingly, in this paper, we will try to model the behavior of anomaly rules distributed in software-defined networks that have been created by different apps in the Internet of Things. It can identify their relationship with other rules in the network and avoid registering them. © 2021 IEEE.
Although high-performance artificial intelligence (AI) models require substantial computational resources, embedded systems are constrained by limited hardware capabilities, such as memory and processing power. On the other hand, embedded systems have a broad range of applications, making the integration of AI and embedded systems a prominent topic in both hardware and AI research. Creating powerful speech embeddings for embedded systems is challenging, as such models, like Wave2Vec, are typically computationally intensive. Additionally, the scarcity of data for many low-resource languages further complicates the development of high-performance models. To address these challenges, we utilized BERT to generate speech embeddings. BERT was selected because, in addition to producing meaningful embeddings, it is trained on numerous low-resource languages and facilitates the design of efficient decoders. This study introduces a compact speech encoder tailored for low-resource languages, capable of functioning as an encoder across a diverse range of speech tasks. To achieve this, we utilized BERT to generate meaningful embeddings. However, due to the high dimensionality of BERT embeddings, which imposes significant computational demands on many embedded systems, we applied dimensionality reduction techniques. The reduced-dimensional vectors were subsequently used as labels for speech data to train a model composed of convolutional neural networks (CNNs) and fully connected layers. Finally, we demonstrated the encoder's effectiveness through an application in speech command recognition. © 2024 IEEE.
Nowadays, Multi-hop wireless networks have achieved lots of attention due to their ease of development, low cost, and other advantages. Wireless channels have broadcast nature, and a sent packet can be heard by the nodes in the sender's transmission range. This feature is used in opportunistic routing to forward the packets and to enhance the network efficiency. In most of the opportunistic routing algorithms, forwarder nodes are pre-selected by the source nodes. Forwarders should be coordinated for the packet forwarding and one of them is finally selected as the next hop. If the forwarder list is large, coordination's computational overhead will be high. A new Energy efficient opportunistic routing algorithm, named EOpR is presented in this paper that selects the candidate nodes on the packets' fly. This selection is based on the region and the nodes' residual energy. Candidate nodes set a timer and the one whose timer expires first is selected as the next hop. Simulation results showed higher network performance in the terms of network's lifetime and also throughput compared to ROMER. The number of duplicate packets also decreases in EOpR. © 2015 IEEE.
The FFT speech encryption algorithm is tested on speech samples which are recorded using a data acquisition system connected to a PC. The speech samples are read from an input file by the simulation program and the scrambling operation performed on them frame-by-frame. The scrambled speech signal is output through the filter card and the DAC card. The scrambled speech samples are also recorded onto an output file on which the descrambling operations are subsequently performed. The algorithms and results of these simulation tests are provided below. An analog I/O card was used with simulation program. A 12-bit ADC and DAC card was used to capture about 4 seconds of speech at the rate of 8 Ksps. The scrambler and descrambler programs written in C processed the speech file. The main parts of the system are (i) scrambler with permutation and (ii) descrambling with depermutation. Some additional parts such as the ADC, the DAC, the IBC (integer to binary convertor) and the BIC are necessary. The basic functions can, thus be identified as follows: 1) Scrambler includes FFT, permutation and IFFT 2) Descrambler includes FFT, depermutation and IFFT 3) Generation of permutation matrices. © 2002 IEEE.
Information-Centric Networking (ICN) is focused on content itself as the key factor of communication instead of network addresses. As a successful nominee for future architecture on the Internet, ICN provides a networking paradigm shift from host-oriented to content-oriented communication. This means that a user can declare its desired content by the unique name of that content irrespective of the hosting location. ICN provides high performance content distribution framework, stronger security solutions, better mobility support and scalable network architecture. It supports different naming schemes encompassing flat, hierarchical, hybrid, and attribute-value names. These properties construct ICN as an appropriate networking infrastructure for IoT applications such as smart city. ICN can better handle large IoT name spaces with lower processing resource usage. It reduces energy consumption by in-network caching of contents. Considering an NDN-based smart city, the available naming schemes can be classified into hybrid and hierarchical names. The disadvantages of the proposed naming schemes can be summarized as the long length of the names in hierarchical approach, the difficulty of finding unique content in attributed-value naming scheme, not being user-friendly in flat naming method, and complexity in hybrid naming structures. Considering these drawbacks, we presented a hybrid name scheme for the smart city by PURSUIT architecture that provides faster name lookup in IoT communications. © 2020 IEEE.
Wireless applications have become significant in numerous fields [1] such as the auto industry. Indeed, the convergence of telecommunication, computation, wireless technology, and transportation technologies has contributed to the facilitation of our roads and highways as far as communications are concerned. This convergence in a sense is considered as a platform in intelligent transportation systems (ITS) where each vehicle is assumed to be equipped with devices as nodes in order to create contact with other nodes. Mobile ad hoc networks (MANETs) were introduced in Chapter 3. Because the features of a vehicle network are different from those of other types of MANETs, this network is called a vehicular ad hoc network (VANET) [2]. © 2017 by Taylor & Francis Group, LLC.
Scan design is a powerful Design-for-Testability (DFT) technique that enhances controllability and observability of internal nodes of the circuit under test. However, it can increase system vulnerability being a back door to access secret information of a secure chip. In this paper, we present a scan-based design which is robust against scan-based side channel attacks. We use SHA256 secure hash and Blum Blum Shub pseudo random number generator to create a simple challenge/response scheme. The system can be used to enable JTAG instructions for authorized user or control access to IEEE 1687 on-chip instruments. The effectiveness of the proposed method has been verified using NIST statistical test suite. © 2016 IEEE.
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