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  • Open Access

    ARTICLE

    Insider Attack Detection Using Deep Belief Neural Network in Cloud Computing

    A. S. Anakath1,*, R. Kannadasan2, Niju P. Joseph3, P. Boominathan4, G. R. Sreekanth5

    Computer Systems Science and Engineering, Vol.41, No.2, pp. 479-492, 2022, DOI:10.32604/csse.2022.019940

    Abstract Cloud computing is a high network infrastructure where users, owners, third users, authorized users, and customers can access and store their information quickly. The use of cloud computing has realized the rapid increase of information in every field and the need for a centralized location for processing efficiently. This cloud is nowadays highly affected by internal threats of the user. Sensitive applications such as banking, hospital, and business are more likely affected by real user threats. An intruder is presented as a user and set as a member of the network. After becoming an insider… More >

  • Open Access

    ARTICLE

    Rule-Based Anomaly Detection Model with Stateful Correlation Enhancing Mobile Network Security

    Rafia Afzal, Raja Kumar Murugesan*

    Intelligent Automation & Soft Computing, Vol.31, No.3, pp. 1825-1841, 2022, DOI:10.32604/iasc.2022.020598

    Abstract The global Signalling System No. 7 (SS7) network protocol standard has been developed and regulated based only on trusted partner networks. The SS7 network protocol by design neither secures the communication channel nor verifies the entire network peers. The SS7 network protocol used in telecommunications has deficiencies that include verification of actual subscribers, precise location, subscriber’s belonging to a network, absence of illegitimate message filtering mechanism, and configuration deficiencies in home routing networks. Attackers can take advantage of these deficiencies and exploit them to impose threats such as subscriber or network data disclosure, intercept mobile… More >

  • Open Access

    ARTICLE

    A Hybrid Approach for Network Intrusion Detection

    Mavra Mehmood1, Talha Javed2, Jamel Nebhen3, Sidra Abbas2,*, Rabia Abid1, Giridhar Reddy Bojja4, Muhammad Rizwan1

    CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 91-107, 2022, DOI:10.32604/cmc.2022.019127

    Abstract Due to the widespread use of the internet and smart devices, various attacks like intrusion, zero-day, Malware, and security breaches are a constant threat to any organization's network infrastructure. Thus, a Network Intrusion Detection System (NIDS) is required to detect attacks in network traffic. This paper proposes a new hybrid method for intrusion detection and attack categorization. The proposed approach comprises three steps to address high false and low false-negative rates for intrusion detection and attack categorization. In the first step, the dataset is preprocessed through the data transformation technique and min-max method. Secondly, the More >

  • Open Access

    REVIEW

    Intrusion Detection Systems Using Blockchain Technology: A Review, Issues and Challenges

    Salam Al-E’mari1, Mohammed Anbar1,*, Yousef Sanjalawe1,2, Selvakumar Manickam1, Iznan Hasbullah1

    Computer Systems Science and Engineering, Vol.40, No.1, pp. 87-112, 2022, DOI:10.32604/csse.2022.017941

    Abstract Intrusion detection systems that have emerged in recent decades can identify a variety of malicious attacks that target networks by employing several detection approaches. However, the current approaches have challenges in detecting intrusions, which may affect the performance of the overall detection system as well as network performance. For the time being, one of the most important creative technological advancements that plays a significant role in the professional world today is blockchain technology. Blockchain technology moves in the direction of persistent revolution and change. It is a chain of blocks that covers information and maintains… More >

  • Open Access

    ARTICLE

    Enterprise Cyberspace Threat Landscape: An Analysis

    Emmanuel U. Opara1,*, Oredola A. Soluade2

    Journal of Cyber Security, Vol.3, No.3, pp. 167-176, 2021, DOI:10.32604/jcs.2021.019158

    Abstract The ecosystem security platform described in this research is already impacting the threat spectrum in quantifiable ways. The global network has undergone a dramatic transformation over the course of 2020, with an unprecedented destabilization of events. Security breaches of all kinds are growing in complexity, sophistication, and impact. The bad actors are bypassing predictable security devices at will by breaching network systems at an escalating rate. This study will analyze these developments by creating awareness among security practitioners so they can be prepared to defend their enterprise systems. More >

  • Open Access

    ARTICLE

    IDV: Internet Domain Name Verification Based on Blockchain

    Ning Hu1, Yu Teng2, Yan Zhao1, Shi Yin1, Yue Zhao3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.129, No.1, pp. 299-322, 2021, DOI:10.32604/cmes.2021.016839

    Abstract The rapid development of blockchain technology has provided new ideas for network security research. Blockchain-based network security enhancement solutions are attracting widespread attention. This paper proposes an Internet domain name verification method based on blockchain. The authenticity of DNS (Domain Name System) resolution results is crucial for ensuring the accessibility of Internet services. Due to the lack of adequate security mechanisms, it has always been a challenge to verify the authenticity of Internet domain name resolution results. Although the solution represented by DNSSEC (Domain Name System Security Extensions) can theoretically solve the domain name verification… More >

  • Open Access

    ARTICLE

    EDSM-Based Binary Protocol State Machine Reversing

    Shen Wang1,*, Fanghui Sun1, Hongli Zhang1, Dongyang Zhan1,2, Shuang Li3, Jun Wang1

    CMC-Computers, Materials & Continua, Vol.69, No.3, pp. 3711-3725, 2021, DOI:10.32604/cmc.2021.016562

    Abstract Internet communication protocols define the behavior rules of network components when they communicate with each other. With the continuous development of network technologies, many private or unknown network protocols are emerging in endlessly various network environments. Herein, relevant protocol specifications become difficult or unavailable to translate in many situations such as network security management and intrusion detection. Although protocol reverse engineering is being investigated in recent years to perform reverse analysis on the specifications of unknown protocols, most existing methods have proven to be time-consuming with limited efficiency, especially when applied on unknown protocol state More >

  • Open Access

    ARTICLE

    Detecting Man-in-the-Middle Attack in Fog Computing for Social Media

    Farouq Aliyu1,*, Tarek Sheltami1, Ashraf Mahmoud1, Louai Al-Awami1, Ansar Yasar2

    CMC-Computers, Materials & Continua, Vol.69, No.1, pp. 1159-1181, 2021, DOI:10.32604/cmc.2021.016938

    Abstract Fog computing (FC) is a networking paradigm where wireless devices known as fog nodes are placed at the edge of the network (close to the Internet of Things (IoT) devices). Fog nodes provide services in lieu of the cloud. Thus, improving the performance of the network and making it attractive to social media-based systems. Security issues are one of the most challenges encountered in FC. In this paper, we propose an anomaly-based Intrusion Detection and Prevention System (IDPS) against Man-in-the-Middle (MITM) attack in the fog layer. The system uses special nodes known as Intrusion Detection… More >

  • Open Access

    ARTICLE

    A Network Security Risk Assessment Method Based on a B_NAG Model

    Hui Wang1, Chuanhan Zhu1, Zihao Shen1,*, Dengwei Lin2, Kun Liu1, MengYao Zhao3

    Computer Systems Science and Engineering, Vol.38, No.1, pp. 103-117, 2021, DOI:10.32604/csse.2021.014680

    Abstract Computer networks face a variety of cyberattacks. Most network attacks are contagious and destructive, and these types of attacks can be harmful to society and computer network security. Security evaluation is an effective method to solve network security problems. For accurate assessment of the vulnerabilities of computer networks, this paper proposes a network security risk assessment method based on a Bayesian network attack graph (B_NAG) model. First, a new resource attack graph (RAG) and the algorithm E-Loop, which is applied to eliminate loops in the B_NAG, are proposed. Second, to distinguish the confusing relationships between… More >

  • Open Access

    ARTICLE

    Secure and Energy Efficient Data Transmission Model for WSN

    Anuj Kumar Singh1, Mohammed Alshehri2,*, Shashi Bhushan3, Manoj Kumar3, Osama Alfarraj4, Kamal Raj Pardarshani5

    Intelligent Automation & Soft Computing, Vol.27, No.3, pp. 761-769, 2021, DOI:10.32604/iasc.2021.012806

    Abstract Wireless sensor networks (WSNs) have been used in numerous delicate checking, observation, and surveillance systems that use sensitive data. When a WSN utilizes various data clustering techniques, data is moved to the cluster head (CH) of the corresponding cluster area. Cluster Head further communicates the information to the sink node. In a WSN, a network owner (NO) does not validate a sensor before connecting to the network, so faulty nodes may likely attach to the network to sense the data and attempt to release the information to unauthorized persons. Further, a malicious node may become… More >

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