107 research outputs found

    Securing Infrastructure-as-a-Service Public Clouds Using Security Onion

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    The shift to Cloud computing has brought with it its specific security challenges concerning the loss of control, trust and multi-tenancy especially in Infrastructure-as-a-Service (IaaS) Cloud model. This article focuses on the design and development of an intrusion detection system (IDS) that can handle security challenges in IaaS Cloud model using an open source IDS. We have implemented a proof-of-concept prototype on the most deployed hypervisor—VMware ESXi—and performed various real-world cyber-attacks, such as port scanning and denial of service (DoS) attacks to validate the practicality and effectiveness of our proposed IDS architecture. Based on our experimental results we found that our Security Onion-based IDS can provide the required protection in a reasonable and effective manner

    Mobile Malware and Smart Device Security: Trends, Challenges and Solutions

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    This work is part of the research to study trends and challenges of cyber security to smart devices in smart homes. We have seen the development and demand for seamless interconnectivity of smart devices to provide various functionality and abilities to users. While these devices provide more features and functionality, they also introduce new risks and threats. Subsequently, current cyber security issues related to smart devices are discussed and analyzed. The paper begins with related background and motivation. We identified mobile malware as one of the main issue in the smart devices' security. In the near future, mobile smart device users can expect to see a striking increase in malware and notable advancements in malware-related attacks, particularly on the Android platform as the user base has grown exponentially. We discuss and analyzed mobile malware in details and identified challenges and future trends in this area. Then we propose and discuss an integrated security solution for cyber security in smart devices to tackle the issue

    Machine learning based intrusion detection system for software defined networks

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    Software-Defined Networks (SDN) is an emerging area that promises to change the way we design, build, and operate network architecture. It tends to shift from traditional network architecture of proprietary based to open and programmable network architecture. However, this new innovative and improved technology also brings another security burden into the network architecture, with existing and emerging security threats. The network vulnerability has become more open to intruders: the focus is now shifted to a single point of failure where the central controller is a prime target. Therefore, integration of intrusion detection system (IDS) into the SDN architecture is essential to provide a network with attack countermeasure. The work designed and developed a virtual testbed that simulates the processes of the real network environment, where a star topology is created with hosts and servers connected to the OpenFlow OVS-switch. Signature-based Snort IDS is deployed for traffic monitoring and attack detection, by mirroring the traffic destine to the servers. The vulnerability assessment shows possible attacks threat exist in the network architecture and effectively contain by Snort IDS except for the few which the suggestion is made for possible mitigation. In order to provide scalable threat detection in the architecture, a flow-based IDS model is developed. A flow-based anomaly detection is implemented with machine learning to overcome the limitation of signature-based IDS. The results show positive improvement for detection of almost all the possible attacks in SDN environment with our pattern recognition of neural network for machine learning using our trained model with over 97% accuracy

    Impact of Distributed Denial-of-Service Attack on Advanced Metering Infrastructure

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    The age of Internet of Things has brought in new challenges specifically in areas such as security. The evolution of classic power grids to smart grids is a prime example of how everything is now being connected to the Internet. With the power grid becoming smart, the information and communication systems supporting it is subject to both classical and emerging cyber-attacks. The article investigates the vulnerabilities caused by a distributed denial-of-service (DDoS) attack on the smart grid advanced metering infrastructure. Attack simulations have been conducted on a realistic electrical grid topology. The simulated network consisted of smart meters, power plant and utility server. Finally, the impact of large scale DDoS attacks on the distribution system’s reliability is discussed

    Development of smart grid testbed with low-cost hardware and software for cybersecurity research and education

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    Smart Grid, also known as the next generation of the power grid, is considered as a power infrastructure with advanced information and communication technologies (ICT) that will enhance the efficiency and reliability of power systems. For the essential benefits that come with Smart Grid, there are also security risks due to the complexity of advanced ICT utilized in the architecture of Smart Grid to interconnect a huge number of devices and subsystems. Cybersecurity is one of the emerging major threats in Smart Grid that needs to be considered as the attack surface increased. To prevent cyber-attacks, new techniques and methods need to be evaluated in a real-world environment or in a testbed. However, the costs for setting-up Smart Grid testbed is extensive. In this article, we focused on the development of a smart grid testbed with a low-cost hardware and software for cybersecurity research and education. As a case study, we evaluated the testbed with most common cyber-attack such as denial of service (DoS) attack. In addition, the testbed is a useful resource for cybersecurity research and education on different aspects of SCADA systems such as protocol implementation, and PLC programming

    COVID‐19 Pandemic Cybersecurity Issues

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    This paper studies the cybersecurity issues that have occurred during the coronavirus (COVID‐19) pandemic. During the pandemic, cyber criminals and Advanced Persistent Threat (APT) groups have taken advantage of targeting vulnerable people and systems. This paper emphasizes that there is a correlation between the pandemic and the increase in cyber‐attacks targeting sectors that are vulnerable. In addition, the growth in anxiety and fear due to the pandemic is increasing the success rate of cyber‐attacks. We also highlight that healthcare organizations are one of the main victims of cyber‐attacks during the pandemic. The pandemic has also raised the issue of cybersecurity in relation to the new normal of expecting staff to work from home (WFH), the possibility of state‐sponsored attacks, and increases in phishing and ransomware. We have also provided various practical approaches to reduce the risks of cyber‐attacks while WFH including mitigation of security risks related to healthcare. It is crucial that healthcare organizations improve protecting their important data and assets by implementing a comprehensive approach to cybersecurity

    Pengaruh Teknik Pernapasan Buteyko terhadap ACT (ASTHMA CONTROL TEST)

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    This study aims to determine the effect of buteyko breathing technique on asthma control test (ACT).The quasi experimental study with the pretest and post test one group design approach involved 14 patients with asthma selected from the Lung Polyclinic of Dr. Hasan Sadikin Bandung with consecutive sampling. Asthma control was collected using time series ACT. The collected data were analyzed descriptively and inferentially with the scale of significance p <0.05.The results showed a significantly higher mean difference between ACT scores after buteyko breathing technique (19.79 ± 1.47) with ACT score at week III (17.50 ± 1.78), week II (12.64 ± 1.82), week I (9.57 ± 1.95), and pretest (7.64 ± 1.82). Post hoc analysis found the fourth week post test score (19.79 ± 1.47) significantly better than post test week III (17.50 ± 1.78), week II (12.64 ± 1.82), week I (9.57 ± 1.95), and pretest (7.64 ± 1.82) in improving asthma control. Conclusion, there was an effect of buteyko breathing technique on asthma control test (ACT).   Keywords: ACT, Breathing Technique, Bronchial Asthma, Buteyko &nbsp
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