A Serious Game For Social Engineering Awareness Creation,
2021
School of Criminal Sciences, University of Lausanne, Switzerland
A Serious Game For Social Engineering Awareness Creation, Fabian Muhly, Philipp Leo, Stefano Caneppele
Journal of Cybersecurity Education, Research and Practice
Social engineering is a method used by offenders to deceive their targets utilizing rationales of human psychology. Offenders aim to exploit information and use them for intelligence purposes or financial gains. Generating resilience against these malicious methods is still challenging. Literature shows that serious gaming learning approaches are used more frequently to instill lasting retention effects. Serious games are interactive, experiential learning approaches that impart knowledge about rationales and concepts in a way that fosters retention. In three samples and totally 97 participants the study at hand evaluated a social engineering serious game for participants’ involvement and instruction compliance during …
Arnold Transformations As Applied To Data Encryption,
2021
Georgia Southern University
Arnold Transformations As Applied To Data Encryption, Haley N. Anderson
College of Graduate Studies: Theses & Dissertations
As our world becomes increasingly digital, data security becomes key. Data must be encrypted such that it can be easily encrypted only by the intended recipient. Arnold Transformations are a useful tool in this because of its unpredictable periodicity. Our goal is to outline a method for choosing an Arnold Transformation that is both secure and easy to implement. We find the necessary and sufficient condition that a key matrix has periodicity. The chosen key matrix has a random structure, and it has a periodicity that is sufficiently high. We apply this method to several image and data string examples …
Biocybersecurity: A Converging Threat As An Auxiliary To War,
2021
Old Dominion University
Biocybersecurity: A Converging Threat As An Auxiliary To War, Lucas Potter, Orlando Ayala, Xavier-Lewis Palmer
Engineering Technology Faculty Publications
Biodefense is the discipline of ensuring biosecurity with respect to select groups of organisms and limiting their spread. This field has increasingly been challenged by novel threats from nature that have been weaponized such as SARS, Anthrax, and similar pathogens, but has emerged victorious through collaboration of national and world health groups. However, it may come under additional stress in the 21st century as the field intersects with the cyberworld-- a world where governments have already been struggling to keep up with cyber attacks from small to state-level actors as cyberthreats have been relied on to level the playing field …
Real-Time Monitoring As A Supplementary Security Component Of Vigilantism In Modern Network Environments,
2021
Edith Cowan University
Real-Time Monitoring As A Supplementary Security Component Of Vigilantism In Modern Network Environments, Victor R. Kebande, Nickson M. Karie, Richard A. Ikuesan
Research outputs 2014 to 2021
© 2020, The Author(s). The phenomenon of network vigilantism is autonomously attributed to how anomalies and obscure activities from adversaries can be tracked in real-time. Needless to say, in today’s dynamic, virtualized, and complex network environments, it has become undeniably necessary for network administrators, analysts as well as engineers to practice network vigilantism, on traffic as well as other network events in real-time. The reason is to understand the exact security posture of an organization’s network environment at any given time. This is driven by the fact that modern network environments do, not only present new opportunities to organizations but …
Federated Deep Learning For Cyber Security In The Internet Of Things: Concepts, Applications, And Experimental Analysis,
2021
Edith Cowan University
Federated Deep Learning For Cyber Security In The Internet Of Things: Concepts, Applications, And Experimental Analysis, Mohamed Amine Ferrag, Othmane Friha, Leandros Maglaras, Helge Janicke, Lei Shu
Research outputs 2014 to 2021
In this article, we present a comprehensive study with an experimental analysis of federated deep learning approaches for cyber security in the Internet of Things (IoT) applications. Specifically, we first provide a review of the federated learning-based security and privacy systems for several types of IoT applications, including, Industrial IoT, Edge Computing, Internet of Drones, Internet of Healthcare Things, Internet of Vehicles, etc. Second, the use of federated learning with blockchain and malware/intrusion detection systems for IoT applications is discussed. Then, we review the vulnerabilities in federated learning-based security and privacy systems. Finally, we provide an experimental analysis of federated …
An Energy-Efficient And Secure Data Inference Framework For Internet Of Health Things: A Pilot Study,
2021
Edith Cowan University
An Energy-Efficient And Secure Data Inference Framework For Internet Of Health Things: A Pilot Study, James Jin Kang, Mahdi Dibaei, Gang Luo, Wencheng Yang, Paul Haskell-Dowland, Xi Zheng
Research outputs 2014 to 2021
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. Privacy protection in electronic healthcare applications is an important consideration, due to the sensitive nature of personal health data. Internet of Health Things (IoHT) networks that are used within a healthcare setting have unique challenges and security requirements (integrity, authentication, privacy, and availability) that must also be balanced with the need to maintain efficiency in order to conserve battery power, which can be a significant limitation in IoHT devices and networks. Data are usually transferred without undergoing filtering or optimization, and this traffic can overload sensors and cause rapid battery consumption …
A Secured Privacy-Preserving Multi-Level Blockchain Framework For Cluster Based Vanet,
2021
Edith Cowan University
A Secured Privacy-Preserving Multi-Level Blockchain Framework For Cluster Based Vanet, A. F.M.Suaib Akhter, Mohiuddin Ahmed, A. F.M.Shahen Shah, Adnan Anwar, Ahmet Zengin
Research outputs 2014 to 2021
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. Existing research shows that Cluster-based Medium Access Control (CB-MAC) protocols perform well in controlling and managing Vehicular Ad hoc Network (VANET), but requires ensuring improved security and privacy preserving authentication mechanism. To this end, we propose a multi-level blockchain-based privacy-preserving authentication protocol. The paper thoroughly explains the formation of the authentication centers, vehicles registration, and key generation processes. In the proposed architecture, a global authentication center (GAC) is responsible for storing all vehicle information, while Local Authentication Center (LAC) maintains a blockchain to enable quick handover between internal clusters of vehicle. …
A Secured Message Transmission Protocol For Vehicular Ad Hoc Networks,
2021
Edith Cowan University
A Secured Message Transmission Protocol For Vehicular Ad Hoc Networks, A. F. M. Suaib Akhter, A. F. M. Shahen Shah, Mohiuddin Ahmed, Nour Moustafa, Unal Çavuşoğlu, Ahmet Zengin
Research outputs 2014 to 2021
Vehicular Ad hoc Networks (VANETs) become a very crucial addition in the Intelligent Transportation System (ITS). It is challenging for a VANET system to provide security services and parallelly maintain high throughput by utilizing limited resources. To overcome these challenges, we propose a blockchain-based Secured Cluster-based MAC (SCB-MAC) protocol. The nearby vehicles heading towards the same direction will form a cluster and each of the clusters has its blockchain to store and distribute the safety messages. The message which contains emergency information and requires Strict Delay Requirement (SDR) for transmission are called safety messages (SM). Cluster Members (CMs) sign SMs …
Digital Forensic Readiness Intelligence Crime Repository,
2021
Edith Cowan University
Digital Forensic Readiness Intelligence Crime Repository, Victor R. Kebande, Nickson M. Karie, Kim-Kwang R. Choo, Sadi Alawadi
Research outputs 2014 to 2021
It may not always be possible to conduct a digital (forensic) investigation post-event if there is no process in place to preserve potential digital evidence. This study posits the importance of digital forensic readiness, or forensic-by-design, and presents an approach that can be used to construct a Digital Forensic Readiness Intelligence Repository (DFRIR). Based on the concept of knowledge sharing, the authors leverage this premise to suggest an intelligence repository. Such a repository can be used to cross-reference potential digital evidence (PDE) sources that may help digital investigators during the process. This approach employs a technique of capturing PDE from …
A Review Of Security Standards And Frameworks For Iot-Based Smart Environments,
2021
Edith Cowan University
A Review Of Security Standards And Frameworks For Iot-Based Smart Environments, Nickson M. Karie, Nor Masri Sahri, Wencheng Yang, Craig Valli, Victor R. Kebande
Research outputs 2014 to 2021
Assessing the security of IoT-based smart environments such as smart homes and smart cities is becoming fundamentally essential to implementing the correct control measures and effectively reducing security threats and risks brought about by deploying IoT-based smart technologies. The problem, however, is in finding security standards and assessment frameworks that best meets the security requirements as well as comprehensively assesses and exposes the security posture of IoT-based smart environments. To explore this gap, this paper presents a review of existing security standards and assessment frameworks which also includes several NIST special publications on security techniques highlighting their primary areas of …
Biometrics For Internet‐Of‐Things Security: A Review,
2021
Edith Cowan University
Biometrics For Internet‐Of‐Things Security: A Review, Wencheng Yang, Song Wang, Nor Masri Sahri, Nickson M. Karie, Mohiuddin Ahmed, Craig Valli
Research outputs 2014 to 2021
The large number of Internet‐of‐Things (IoT) devices that need interaction between smart devices and consumers makes security critical to an IoT environment. Biometrics offers an interesting window of opportunity to improve the usability and security of IoT and can play a significant role in securing a wide range of emerging IoT devices to address security challenges. The purpose of this review is to provide a comprehensive survey on the current biometrics research in IoT security, especially focusing on two important aspects, authentication and encryption. Regarding authentication, contemporary biometric‐based authentication systems for IoT are discussed and classified based on different biometric …
Matters Of Biocybersecurity With Consideration To Propaganda Outlets And Biological Agents,
2021
Old Dominion University
Matters Of Biocybersecurity With Consideration To Propaganda Outlets And Biological Agents, Xavier-Lewis Palmer, Ernestine Powell, Lucas Potter, Thaddeus Eze (Ed.), Lee Speakman (Ed.), Cyril Onwubiko (Ed.)
Electrical & Computer Engineering Faculty Publications
The modern era holds vast modalities in human data utilization. Within Biocybersecurity (BCS), categories of biological information, especially medical information transmitted online, can be viewed as pathways to destabilize organizations. Therefore, analysis of how the public, along with medical providers, process such data, and the methods by which false information, particularly propaganda, can be used to upset the flow of verified information to populations of medical professionals, is important for maintenance of public health. Herein, we discuss some interplay of BCS within the scope of propaganda and considerations for navigating the field.
Covid-19 And Biocybersecurity's Increasing Role On Defending Forward,
2021
Old Dominion University
Covid-19 And Biocybersecurity's Increasing Role On Defending Forward, Xavier Palmer, Lucas N. Potter, Saltuk Karahan
Electrical & Computer Engineering Faculty Publications
The evolving nature of warfare has been changing with cybersecurity and the use of advanced biotechnology in each aspect of the society is expanding and overlapping with the cyberworld. This intersection, which has been described as “biocybersecurity” (BCS), can become a major front of the 21st-century conflicts. There are three lines of BCS which make it a critical component of overall cybersecurity: (1) cyber operations within the area of BCS have life threatening consequences to a greater extent than other cyber operations, (2) the breach in health-related personal data is a significant tool for fatal attacks, and (3) health-related misinformation …
Proxy-Free Privacy-Preserving Task Matching With Efficient Revocation In Crowdsourcing,
2021
Singapore Management University
Proxy-Free Privacy-Preserving Task Matching With Efficient Revocation In Crowdsourcing, Jiangang Shu, Kan Yang, Xiaohua Jia, Ximeng Liu, Cong Wang, Robert H. Deng
Research Collection School Of Computing and Information Systems
Task matching in crowdsourcing has been extensively explored with the increasing popularity of crowdsourcing. However, privacy of tasks and workers is usually ignored in most of exiting solutions. In this paper, we study the problem of privacy-preserving task matching for crowdsourcing with multiple requesters and multiple workers. Instead of utilizing proxy re-encryption, we propose a proxy-free task matching scheme for multi-requester/multi-worker crowdsourcing, which achieves task-worker matching over encrypted data with scalability and non-interaction. We further design two different mechanisms for worker revocation including ServerLocal Revocation (SLR) and Global Revocation (GR), which realize efficient worker revocation with minimal overhead on the …
An Efficient Privacy Preserving Message Authentication Scheme For Internet-Of-Things,
2021
Singapore Management University
An Efficient Privacy Preserving Message Authentication Scheme For Internet-Of-Things, Jiannan Wei, Tran Viet Xuan Phuong, Guomin Yang
Research Collection School Of Computing and Information Systems
As an essential element of the next generation Internet, Internet of Things (IoT) has been undergoing an extensive development in recent years. In addition to the enhancement of peoples daily lives, IoT devices also generate/gather a massive amount of data that could be utilized by machine learning and big data analytics for different applications. Due to the machine-to-machine communication nature of IoT, data security and privacy are crucial issues that must be addressed to prevent different cyber attacks (e.g., impersonation and data pollution/poisoning attacks). Nevertheless, due to the constrained computation power and the diversity of IoT devices, it is a …
Simulation For Cybersecurity: State Of The Art And Future Directions,
2021
Old Dominion University
Simulation For Cybersecurity: State Of The Art And Future Directions, Hamdi Kavak, Jose J. Padilla, Daniele Vernon-Bido, Saikou Y. Diallo, Ross Gore, Sachin Shetty
VMASC Publications
In this article, we provide an introduction to simulation for cybersecurity and focus on three themes: (1) an overview of the cybersecurity domain; (2) a summary of notable simulation research efforts for cybersecurity; and (3) a proposed way forward on how simulations could broaden cybersecurity efforts. The overview of cybersecurity provides readers with a foundational perspective of cybersecurity in the light of targets, threats, and preventive measures. The simulation research section details the current role that simulation plays in cybersecurity, which mainly falls on representative environment building; test, evaluate, and explore; training and exercises; risk analysis and assessment; and humans …
Criticality Based Optimal Cyber Defense Remediation In Energy Delivery Systems,
2021
Tennessee State University
Criticality Based Optimal Cyber Defense Remediation In Energy Delivery Systems, Kamrul Hasan, Sachin Shetty, Md. Sharif Ullah, Amin Hassanzadeh, Tariqul Islam
VMASC Publications
A prioritized cyber defense remediation plan is critical for effective risk management in Energy Delivery System (EDS). Due to the complexity of EDS in terms of heterogeneous nature blending Information Technology (IT) and Operation Technology (OT) and Industrial Control System (ICS), scale and critical processes tasks, prioritized remediations should be applied gradually to protect critical assets. In this work, we propose a methodology for a prioritized cyber risk remediation plan by detecting and evaluating paths to critical nodes in EDS. We propose critical nodes characteristics evaluation based on nodes’ architectural positions, a measure of centrality based on nodes’ connectivity and …
An Investigation Into The Efficacy Of Url Content Filtering Systems,
2021
Edith Cowan University
An Investigation Into The Efficacy Of Url Content Filtering Systems, Brett Ronald Turner
Theses: Doctorates and Masters
Content filters are used to restrict to restrict minors from accessing to online content deemed inappropriate. While much research and evaluation has been done on the efficiency of content filters, there is little in the way of empirical research as to their efficacy. The accessing of inappropriate material by minors, and the role content filtering systems can play in preventing the accessing of inappropriate material, is largely assumed with little or no evidence. This thesis investigates if a content filter implemented with the stated aim of restricting specific Internet content from high school students achieved the goal of stopping students …
A Theoretical Framework For The Adoption Of Cloud Computing In Hospital Information Systems,
2021
Universiti Malaya
A Theoretical Framework For The Adoption Of Cloud Computing In Hospital Information Systems, Shady Gomaa Abdulaziz
Student Works (2020-2029)
Cloud Computing (CC) is becoming a favourable trend in managing digital data. However, there is a low CC adoption rate in Health-Care Institutions (HCIs) than in other industries due to many reasons like awareness, staff, and costs. This research aims to: (1) investigate the CC adoption in the Saudi Health-Care Institutions (SHCIs), (2) determine the factors that influence the CC adoption in selected SHCIs, (3) develop a theoretical framework for the deployment of CC adoption in selected HCIs based on factors determined earlier, and (4) validate a research framework for the adoption of CC in SHCIs. The purpose of this …
A Neat Approach To Malware Classification,
2020
San Jose State University
A Neat Approach To Malware Classification, Jason Do
Master's Projects
Current malware detection software often relies on machine learning, which is seen as an improvement over signature-based techniques. Problems with a machine learning based approach can arise when malware writers modify their code with the intent to evade detection. This leads to a cat and mouse situation where new models must constantly be trained to detect new malware variants. In this research, we experiment with genetic algorithms as a means of evolving machine learning models to detect malware. Genetic algorithms, which simulate natural selection, provide a way for models to adapt to continuous changes in a malware families, and thereby …
