Yang Wang¹, Ying Tian^1,*, Ou Tian²

CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2203-2216, 2021, DOI:10.32604/cmc.2021.018709 - 21 July 2021

Abstract As the use of facial attributes continues to expand, research into facial age estimation is also developing. Because face images are easily affected by factors including illumination and occlusion, the age estimation of faces is a challenging process. This paper proposes a face age estimation algorithm based on lightweight convolutional neural network in view of the complexity of the environment and the limitations of device computing ability. Improving face age estimation based on Soft Stagewise Regression Network (SSR-Net) and facial images, this paper employs the Center Symmetric Local Binary Pattern (CSLBP) method to obtain the More >

Mohamed Esmail Karar^1,2, Omar Reyad^1,3, Mohammed Abd-Elnaby⁴, Abdel-Haleem Abdel-Aty^5,6, Marwa Ahmed Shouman^7,*

CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2295-2312, 2021, DOI:10.32604/cmc.2021.018671 - 21 July 2021

Abstract Lightweight deep convolutional neural networks (CNNs) present a good solution to achieve fast and accurate image-guided diagnostic procedures of COVID-19 patients. Recently, advantages of portable Ultrasound (US) imaging such as simplicity and safe procedures have attracted many radiologists for scanning suspected COVID-19 cases. In this paper, a new framework of lightweight deep learning classifiers, namely COVID-LWNet is proposed to identify COVID-19 and pneumonia abnormalities in US images. Compared to traditional deep learning models, lightweight CNNs showed significant performance of real-time vision applications by using mobile devices with limited hardware resources. Four main lightweight deep learning… More >

Yong-Woon Hwang, Im-Yeong Lee^*

CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 1747-1764, 2021, DOI:10.32604/cmc.2021.018549 - 21 July 2021

Abstract Recently, with the advancement of Information and Communications Technology (ICT), Internet of Things (IoT) has been connected to the cloud and used in industrial sectors, medical environments, and smart grids. However, if data is transmitted in plain text when collecting data in an IoT-cloud environment, it can be exposed to various security threats such as replay attacks and data forgery. Thus, digital signatures are required. Data integrity is ensured when a user (or a device) transmits data using a signature. In addition, the concept of data aggregation is important to efficiently collect data transmitted from… More >

T. Kowsalya¹, R. Ganesh Babu², B. D. Parameshachari³, Anand Nayyar⁴, Raja Majid Mehmood^5,*

CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 1447-1465, 2021, DOI:10.32604/cmc.2021.014606 - 13 April 2021

Abstract Lightweight Cryptography (LWC) is widely used to provide integrity, secrecy and authentication for the sensitive applications. However, the LWC is vulnerable to various constraints such as high-power consumption, time consumption, and hardware utilization and susceptible to the malicious attackers. In order to overcome this, a lightweight block cipher namely PRESENT architecture is proposed to provide the security against malicious attacks. The True Random Number Generator-Pseudo Random Number Generator (TRNG-PRNG) based key generation is proposed to generate the unpredictable keys, being highly difficult to predict by the hackers. Moreover, the hardware utilization of PRESENT architecture is… More >

Qiang Zhi^1,*, Shuji Morisaki²

Computer Systems Science and Engineering, Vol.37, No.3, pp. 443-461, 2021, DOI:10.32604/csse.2021.015157 - 08 March 2021

Abstract A software requirements specification (SRS) is a detailed description of a software system to be developed. This paper proposes and evaluates a lightweight review approach called value-oriented review (VOR) to detect defects in SRS. This approach comprises setting core values based on SRS and detecting the defects disturbing the core values. To evaluate the effectiveness of the proposed approach, we conducted a controlled experiment to investigate whether reviewers could identify and record the core values based on SRS and find defects disturbing the core values. Results of the evaluation with 56 software engineers showed that More >

Rabie A. Ramadan^1,2,*, Bassam W. Aboshosha³, Kusum Yadav¹, Ibrahim M. Alseadoon¹, Munawar J. Kashout¹, Mohamed Elhoseny^4,5

CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3563-3579, 2021, DOI:10.32604/cmc.2021.015519 - 01 March 2021

Abstract With the new era of the Internet of Things (IoT) technology, many devices with limited resources are utilized. Those devices are susceptible to a significant number of new malware and other risks emerging rapidly. One of the most appropriate methods for securing those IoT applications is cryptographic algorithms, as cryptography masks information by eliminating the risk of collecting any meaningful information patterns. This ensures that all data communications are private, accurate, authenticated, authorized, or non-repudiated. Since conventional cryptographic algorithms have been developed specifically for devices with limited resources; however, it turns out that such algorithms… More >

Gia Nhu Nguyen^1,2, Nin Ho Le Viet^1,2, Gyanendra Prasad Joshi³, Bhanu Shrestha^4,*

CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 551-562, 2021, DOI:10.32604/cmc.2020.012441 - 30 October 2020

Abstract Fog computing in the Internet of Health Things (IoHT) is promising owing to the increasing need for energy- and latency-optimized health sector provisioning. Additionally, clinical data (particularly, medical image data) are a delicate, highly protected resource that should be utilized in an effective and responsible manner to fulfil consumer needs. Herein, we propose an energy-effi- cient fog-based IoHT with a tunicate swarm-optimization-(TSO)-based lightweight Simon cipher to enhance the energy efficiency at the fog layer and the security of data stored at the cloud server. The proposed Simon cipher uses the TSO algorithm to select the More >

Xiangwei Meng, Jianbo Xu^*, Xiaohe Wu, Zhechong Wang

Journal of Information Hiding and Privacy Protection, Vol.2, No.3, pp. 107-114, 2020, DOI:10.32604/jihpp.2020.09901 - 18 December 2020

Abstract Please WBANs are a sensor network for detection and collection of sensitive data to the human body, which is lightweight and mobile. WBANs transmit sensitive and significant messages through the public channel, which makes it easy for an attacker to eavesdrop and modify the messages, thus posing a severe threat to the security of the messages. Therefore, it is essential to put in place authentication and key agreement between different communication nodes in WBANs. In this paper, a lightweight and secure authenticated key agreement protocol in wireless body area networks is designed. It is More >

Jieren Cheng¹, Jun Li^{2, *}, Naixue Xiong³, Meizhu Chen², Hao Guo², Xinzhi Yao²

CMC-Computers, Materials & Continua, Vol.65, No.3, pp. 2247-2262, 2020, DOI:10.32604/cmc.2020.011668 - 16 September 2020

Abstract Nowadays, as lightweight mobile clients become more powerful and widely used, more and more information is stored on lightweight mobile clients, user sensitive data privacy protection has become an urgent concern and problem to be solved. There has been a corresponding rise of security solutions proposed by researchers, however, the current security mechanisms on lightweight mobile clients are proven to be fragile. Due to the fact that this research field is immature and still unexplored in-depth, with this paper, we aim to provide a structured and comprehensive study on privacy protection using trusted execution environment… More >

Yanbin Sun¹, Xiaojun Pan¹, Chao Xu², Penggang Sun², Quanlong Guan³, Mohan Li^{1, *}, Men Han⁴

CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1723-1737, 2020, DOI:10.32604/cmc.2020.010593 - 20 August 2020

Abstract The security issues of industrial control systems (ICSs) have become increasingly prevalent. As an important part of ICS security, honeypots and antihoneypots have become the focus of offensive and defensive confrontation. However, research on ICS honeypots still lacks breakthroughs, and it is difficult to simulate real ICS devices perfectly. In this paper, we studied ICS honeypots to identify and address their weaknesses. First, an intelligent honeypot identification framework is proposed, based on which feature data type requirements and feature data acquisition for honeypot identification is studied. Inspired by vulnerability mining, we propose a feature acquisition More >