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  • Open Access

    ARTICLE

    RETRACTED: Mitigating Content Caching Attack in NDN

    Zhiqiang Ruan1,*, Haibo Luo1, Wenzhong Lin1, Jie Wang2

    CMC-Computers, Materials & Continua, Vol.56, No.3, pp. 483-499, 2018, DOI: 10.3970/cmc.2018.03687

    Abstract Content caching is a core component in Named Data Networking (NDN), where content is cached in routers and served for future requests. However, the adversary can launch verification attack by placing poisoned data into the network with a legitimate name and allow the routers in the delivery path to frequently identify the content. Since NDN employs digital signature on each piece of content, verifying all content will exhaust routers’ computational resources due to the massive data in the network. In this paper, we propose a selective verification scheme upon the contents that are hit in the content store and allow… More >

  • Open Access

    ARTICLE

    A Hierarchy Distributed-Agents Model for Network Risk Evaluation Based on Deep Learning

    Jin Yang1, Tao Li1, Gang Liang1,*, Wenbo He2, Yue Zhao3

    CMES-Computer Modeling in Engineering & Sciences, Vol.120, No.1, pp. 1-23, 2019, DOI:10.32604/cmes.2019.04727

    Abstract Deep Learning presents a critical capability to be geared into environments being constantly changed and ongoing learning dynamic, which is especially relevant in Network Intrusion Detection. In this paper, as enlightened by the theory of Deep Learning Neural Networks, Hierarchy Distributed-Agents Model for Network Risk Evaluation, a newly developed model, is proposed. The architecture taken on by the distributed-agents model are given, as well as the approach of analyzing network intrusion detection using Deep Learning, the mechanism of sharing hyper-parameters to improve the efficiency of learning is presented, and the hierarchical evaluative framework for Network Risk Evaluation of the proposed… More >

  • Open Access

    ARTICLE

    On Hiding Secret Information in Medium Frequency DCT Components Using Least Significant Bits Steganography

    Sahib Khan1,*, M A Irfan1, Arslan Arif1, Syed Tahir Hussain Rizvi2, Asma Gul3, Muhammad Naeem4, Nasir Ahmad5

    CMES-Computer Modeling in Engineering & Sciences, Vol.118, No.3, pp. 529-546, 2019, DOI:10.31614/cmes.2019.06179

    Abstract This work presents a new method of data hiding in digital images, in discrete cosine transform domain. The proposed method uses the least significant bits of the medium frequency components of the cover image for hiding the secret information, while the low and high frequency coefficients are kept unaltered. The unaltered low frequency DCT coefficients preserves the quality of the smooth region of the cover image, while no changes in the high DCT coefficient preserve the quality of the edges. As the medium frequency components have less contribution towards energy and image details, so the modification of these coefficients for… More >

  • Open Access

    ARTICLE

    Optimal Adaptive Genetic Algorithm Based Hybrid Signcryption Algorithm for Information Security

    R. Sujatha1, M. Ramakrishnan2, N. Duraipandian3, B. Ramakrishnan4

    CMES-Computer Modeling in Engineering & Sciences, Vol.105, No.1, pp. 47-68, 2015, DOI:10.3970/cmes.2015.105.047

    Abstract The functions of digital signature and public key encryption are simultaneously fulfilled by signcryption, which is a cryptographic primitive. To securely communicate very large messages, the cryptographic primitive called signcryption efficiently implements the same and while most of the public key based systems are suitable for small messages, hybrid encryption (KEM-DEM) provides a competent and practical way. In this paper, we develop a hybrid signcryption technique. The hybrid signcryption is based on the KEM and DEM technique. The KEM algorithm utilizes the KDF technique to encapsulate the symmetric key. The DEM algorithm utilizes the Adaptive Genetic Algorithm based Elliptic curve… More >

  • Open Access

    ARTICLE

    Application of Self-Organizing Feature Map Neural Network Based on K-means Clustering in Network Intrusion Detection

    Ling Tan1,*, Chong Li2, Jingming Xia2, Jun Cao3

    CMC-Computers, Materials & Continua, Vol.61, No.1, pp. 275-288, 2019, DOI:10.32604/cmc.2019.03735

    Abstract Due to the widespread use of the Internet, customer information is vulnerable to computer systems attack, which brings urgent need for the intrusion detection technology. Recently, network intrusion detection has been one of the most important technologies in network security detection. The accuracy of network intrusion detection has reached higher accuracy so far. However, these methods have very low efficiency in network intrusion detection, even the most popular SOM neural network method. In this paper, an efficient and fast network intrusion detection method was proposed. Firstly, the fundamental of the two different methods are introduced respectively. Then, the self-organizing feature… More >

  • Open Access

    ARTICLE

    Smart Security Framework for Educational Institutions Using Internet of Things (IoT)

    Afzal Badshah1, Anwar Ghani1, Muhammad Ahsan Qureshi2, Shahaboddin Shamshirband,3,4,*

    CMC-Computers, Materials & Continua, Vol.61, No.1, pp. 81-101, 2019, DOI:10.32604/cmc.2019.06288

    Abstract Educational institutions are soft targets for the terrorist with massive and defenseless people. In the recent past, numbers of such attacks have been executed around the world. Conducting research, in order to provide a secure environment to the educational institutions is a challenging task. This effort is motivated by recent assaults, made at Army Public School Peshawar, following another attack at Charsada University, Khyber Pukhtun Khwa, Pakistan and also the Santa Fe High School Texas, USA massacre. This study uses the basic technologies of edge computing, cloud computing and IoT to design a smart emergency alarm system framework. IoT is… More >

  • Open Access

    ARTICLE

    MSICST: Multiple-Scenario Industrial Control System Testbed for Security Research

    Wei Xu1,2, Yaodong Tao2,3, Chunfang Yang4,*, Huiqin Chen5

    CMC-Computers, Materials & Continua, Vol.60, No.2, pp. 691-705, 2019, DOI:10.32604/cmc.2019.05678

    Abstract A security testbed is an important aspect of Industrial Control System (ICS) security research. However, existing testbeds still have many problems in that they cannot fully simulate enterprise networks and ICS attacks. This paper presents a Multiple-Scenario Industrial Control System Testbed (MSICST), a hardware-in-the-loop ICS testbed for security research. The testbed contains four typical process scenarios: thermal power plant, rail transit, smart grid, and intelligent manufacturing. We use a combination of actual physical equipment and software simulations to build the process scenario sand table and use real hardware and software to build the control systems, demilitarized zone, and enterprise zone… More >

  • Open Access

    ARTICLE

    A Weighted Threshold Secret Sharing Scheme for Remote Sensing Images Based on Chinese Remainder Theorem

    Qi He1, Shui Yu2, Huifang Xu3,*, Jia Liu4, Dongmei Huang5, Guohua Liu6, Fangqin Xu3, Yanling Du1

    CMC-Computers, Materials & Continua, Vol.58, No.2, pp. 349-361, 2019, DOI:10.32604/cmc.2019.03703

    Abstract The recent advances in remote sensing and computer techniques give birth to the explosive growth of remote sensing images. The emergence of cloud storage has brought new opportunities for storage and management of massive remote sensing images with its large storage space, cost savings. However, the openness of cloud brings challenges for image data security. In this paper, we propose a weighted image sharing scheme to ensure the security of remote sensing in cloud environment, which takes the weights of participants (i.e., cloud service providers) into consideration. An extended Mignotte sequence is constructed according to the weights of participants, and… More >

  • Open Access

    ARTICLE

    Social-Aware Based Secure Relay Selection in Relay-Assisted D2D Communications

    Shanshan Yu1, Ju Liu1,*, Xiaoqing Zhang1, Shangbin Wu2

    CMC-Computers, Materials & Continua, Vol.58, No.2, pp. 505-516, 2019, DOI:10.32604/cmc.2019.04282

    Abstract Relay-assisted transmission could effectively enhance the performance of Device-to-Device (D2D) communications when D2D user equipments (UEs) are too far away from each other or the quality of D2D channel is not good enough for direct communications. Meanwhile, security is one of the major concerns for proximity services. The secure relay selection problem for D2D communications underlaying cellular network is studied in this paper. Firstly, we define a relay selection area and derive the closed-form of outage probability in D2D links using a Poisson Point Process (PPP) method. Next, in the defined relay selection area, we propose a secure relay selection… More >

  • Open Access

    ARTICLE

    A Blockchain-Based Authentication Protocol for WLAN Mesh Security Access

    Xin Jiang1, Mingzhe Liu1,*, Chen Yang1, Yanhua Liu1, Ruili Wang2

    CMC-Computers, Materials & Continua, Vol.58, No.1, pp. 45-59, 2019, DOI:10.32604/cmc.2019.03863

    Abstract In order to deploy a secure WLAN mesh network, authentication of both users and APs is needed, and a secure authentication mechanism should be employed. However, some additional configurations of trusted third party agencies are still needed on-site to deploy a secure authentication system. This paper proposes a new block chain-based authentication protocol for WLAN mesh security access, to reduce the deployment costs and resolve the issues of requiring key delivery and central server during IEEE 802.11X authentication. This method takes the user’s authentication request as a transaction, considers all the authentication records in the mesh network as the public… More >

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