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Tinyvisor: An Extensible Secure Framework On Android Platforms, Dong SHEN, Zhoujun LI, Xiaojing SU, Jinxin MA, DENG, Robert H. 2018 Beijing University of Aeronautics and Astronautics (Beihang University)

Tinyvisor: An Extensible Secure Framework On Android Platforms, Dong Shen, Zhoujun Li, Xiaojing Su, Jinxin Ma, Deng, Robert H.

Research Collection School Of Computing and Information Systems

As the utilization of mobile platform keeps growing, the security issue of mobile platform becomes a serious threat to user privacy. The current security measures mainly focus on the application level and the framework level, with little protection on the kernel. Virtualization technologies have been used in x86 platforms to protect the security of the kernel. With a higher privilege than the guest operating system, the hypervisor can effectively detect and defend against the malicious activity inside the guest kernel. In this paper, we build a hypervisor framework called TinyVisor leveraging the ARM virtualization extensions to protect the guest system …


User-Friendly Deniable Storage For Mobile Devices, Bing CHANG, Yao CHENG, Bo CHEN, Fengwei ZHANG, Wen-Tao ZHU, Yingjiu LI, Zhan. WANG 2018 Singapore Management University

User-Friendly Deniable Storage For Mobile Devices, Bing Chang, Yao Cheng, Bo Chen, Fengwei Zhang, Wen-Tao Zhu, Yingjiu Li, Zhan. Wang

Research Collection School Of Computing and Information Systems

Mobile devices are prevalently used to process sensitive data, but traditional encryption may not work when an adversary is able to coerce the device owners to disclose the encryption keys. Plausibly Deniable Encryption (PDE) is thus designed to protect sensitive data against this powerful adversary. In this paper, we present MobiPluto, a user-friendly PDE scheme for denying the existence of sensitive data stored on mobile devices. A salient difference between MobiPluto and the existing PDE systems is that any block-based file systems can be deployed on top of it. To further improve usability and deniability of MobiPluto, we introduce a …


Secure Smart Metering Based On Lora Technology, Yao CHENG, Hendra SAPUTRA, Leng Meng GOH, Yongdong WU 2018 Institute for Infocomm Research

Secure Smart Metering Based On Lora Technology, Yao Cheng, Hendra Saputra, Leng Meng Goh, Yongdong Wu

Research Collection School Of Computing and Information Systems

Smart metering allows Substation Automation System (SAS) to remotely and timely read smart meters. Despite its advantages, smart metering brings some challenges. a) It introduces cyber attack risks to the metering system, which may lead to user privacy leakage or even the compromise of smart metering systems. b) Although the majority of meters are located within a regional power supply area, some hard-to-reach nodes are geographically far from the clustered area, which account for a big portion of the entire smart metering operation cost. Facing the above challenges, we propose a secure smart metering infrastructure based on LoRa technology which …


Securing Display Path For Security-Sensitive Applications On Mobile Devices, Jinhua CUI, Yuanyuan ZHANG, Zhiping CAI, Anfeng LIU, Yangyang LI 2018 Singapore Management University

Securing Display Path For Security-Sensitive Applications On Mobile Devices, Jinhua Cui, Yuanyuan Zhang, Zhiping Cai, Anfeng Liu, Yangyang Li

Research Collection School Of Computing and Information Systems

While smart devices based on ARM processor bring us a lot of convenience, they also become an attractive target of cyber-attacks. The threat is exaggerated as commodity OSes usually have a large code base and suffer from various software vulnerabilities. Nowadays, adversaries prefer to steal sensitive data by leaking the content of display output by a security-sensitive application. A promising solution is to exploit the hardware visualization extensions provided by modern ARM processors to construct a secure display path between the applications and the display device. In this work, we present a scheme named SecDisplay for trusted display service, it …


Hybrid Privacy-Preserving Clinical Decision Support System In Fog-Cloud Computing, Ximeng LIU, Robert H. DENG, Yang YANG, Ngoc Hieu TRAN, Shangping ZHONG 2018 Singapore Management University

Hybrid Privacy-Preserving Clinical Decision Support System In Fog-Cloud Computing, Ximeng Liu, Robert H. Deng, Yang Yang, Ngoc Hieu Tran, Shangping Zhong

Research Collection School Of Computing and Information Systems

In this paper, we propose a framework for hybrid privacy-preserving clinical decision support system in fog cloud computing, called HPCS. In HPCS, a fog server uses a lightweight data mining method to securely monitor patients' health condition in real-time. The newly detected abnormal symptoms can be further sent to the cloud server for high-accuracy prediction in a privacy-preserving way. Specifically, for the fog servers, we design a new secure outsourced inner-product protocol for achieving secure lightweight single-layer neural network. Also, a privacy-preserving piecewise polynomial calculation protocol allows cloud server to securely perform any activation functions in multiple-layer neural network. Moreover, …


Online/Offline Traceable Attribute-Based Encryption [In Chinese], Kai ZHANG, Jianfeng MA, Junwei ZHANG, Zuobin YING, Tao ZHANG, Ximeng LIU 2018 Singapore Management University

Online/Offline Traceable Attribute-Based Encryption [In Chinese], Kai Zhang, Jianfeng Ma, Junwei Zhang, Zuobin Ying, Tao Zhang, Ximeng Liu

Research Collection School Of Computing and Information Systems

Attribute-based encryption (ABE), as a public key encryption, can be utilized for fine-grained access control. However, there are two main drawbacks that limit the applications of attribute-based encryption. First, as different users may have the same decryption privileges in ciphertext-policy attribute-based encryption, it is difficult to catch the users who sell their secret keys for financial benefit. Second, the number of resource-consuming exponentiation operations required to encrypt a message in ciphertext-policy attribute-based encryption grows with the complexity of the access policy, which presents a significant challenge for the users who encrypt data on mobile devices. Towards this end, after proposing …


Automatic Log Parser To Support Forensic Analysis, Hudan Studiawan, Ferdous Sohel, Christian Payne 2018 Edith Cowan University

Automatic Log Parser To Support Forensic Analysis, Hudan Studiawan, Ferdous Sohel, Christian Payne

Australian Digital Forensics Conference

Event log parsing is a process to split and label each field in a log entry. Existing approaches commonly use regular expressions or parsing rules to extract the fields. However, such techniques are time-consuming as a forensic investigator needs to define a new rule for each log file type. In this paper, we present a tool, namely nerlogparser, to parse the log entries automatically, where log parsing is modeled as a named entity recognition problem. We use a deep machine learning technique, specifically the bidirectional long short-term memory networks, as the underlying architecture for this purpose. Unlike existing tools, nerlogparser …


Detection Techniques In Operational Technology Infrastructure, Glenn Murray, Matthew Peacock, Priya Rabadia, Paresh Kerai 2018 Edith Cowan University

Detection Techniques In Operational Technology Infrastructure, Glenn Murray, Matthew Peacock, Priya Rabadia, Paresh Kerai

Australian Information Security Management Conference

In previous decades, cyber-attacks have not been considered a threat to critical infrastructure. However, as the Information Technology (IT) and Operational Technology (OT) domains converge, the vulnerability of OT infrastructure is being exploited. Nation-states, cyber criminals and hacktivists are moving to benefit from economic and political gains. The OT network, i.e. Industrial Control System (ICS) is referred to within OT infrastructure as Supervisory Control and Data Acquisition (SCADA). SCADA systems were introduced primarily to optimise the data transfer within OT network infrastructure. The introduction of SCADA can be traced back to the 1960’s, a time where cyber-attacks were not considered. …


The Rsa Cryptosystem, Rodrigo Iglesias 2018 The University of Akron

The Rsa Cryptosystem, Rodrigo Iglesias

Williams Honors College, Honors Research Projects

This paper intends to present an overview of the RSA cryptosystem. Cryptosystems are mathematical algorithms that disguise information so that only the people for whom the information is intended can read it. The invention of the RSA cryptosystem in 1977 was a significant event in the history of cryptosystems. We will describe in detail how the RSA cryptosystem works and then illustrate the process with a realistic example using fictional characters. In addition, we will discuss how cryptosystems worked prior to the invention of RSA and the advantage of using RSA over any of the previous cryptosystems. This will help …


A Longitudinal Analysis On The Feasibility Of Iris Recognition Performance For Infants 0-2 Years Old, Torrey Hutchison 2018 Purdue University

A Longitudinal Analysis On The Feasibility Of Iris Recognition Performance For Infants 0-2 Years Old, Torrey Hutchison

Purdue Polytechnic Masters Theses

The focus of this study was to longitudinally evaluate iris recognition for infants between the ages of 0 to 2 years old. Image quality metrics of infant and adult irises acquired on the same iris camera were compared. Matching performance was evaluated for four groups, infants 0 to 6 months, 7 to 12 months, 13 to 24 months, and adults. A mixed linear regression model was used to determine if infants’ genuine similarity scores changed over time. This study found that image quality metrics were different between infants and adults but in the older group, (13 to 24 months old) …


Determining Vulnerability Using Attach Graphs: An Expansion Of The Current Fair Model, Beth M. Anderson 2018 Eastern Washington University

Determining Vulnerability Using Attach Graphs: An Expansion Of The Current Fair Model, Beth M. Anderson

EWU Masters Thesis Collection

Factor Analysis of Information Risk (FAIR) provides a framework for measuring and understanding factors that contribute to information risk. One such factor is FAIR Vulnerability; the probability that an event involving a threat will result in a loss. An asset is vulnerable if a threat actor’s Threat Capability is higher than the Resistance Strength of the asset. In FAIR scenarios, Resistance Strength is currently estimated for entire assets, oversimplifying assets containing individual systems and the surrounding environment. This research explores enhancing estimations of FAIR Vulnerability by modeling interactions between threat actors and assets through attack graphs. By breaking down the …


A Lightweight Policy Preserving Ehr Sharing Scheme In The Cloud, Zuobin YING, Lu WEI, Qi LI, Ximeng LIU, Jie CUI 2018 Singapore Management University

A Lightweight Policy Preserving Ehr Sharing Scheme In The Cloud, Zuobin Ying, Lu Wei, Qi Li, Ximeng Liu, Jie Cui

Research Collection School Of Computing and Information Systems

Electronic Health Record (EHR) is a digital health documentary. It contains not only the health-related records but also the personal sensitive information. Therefore, how to reliably share EHR through the cloud is a challenging issue. Ciphertext-policy attribute-based encryption (CP-ABE) is a promising cryptography prototype, which can achieve fine-grained access control as well as one-to-many encryption. In CP-ABE, access policy is attached to the ciphertext, and however, the access policy is not protected, which will also cause some privacy leakage. In this paper, we propose a policy preserving EHR system on the basis of CP-ABE. Specifically, we designed an algorithm, which …


Consortium Blockchain-Based Sift: Outsourcing Encrypted Feature Extraction In The D2d Network, Xiaoqin FENG, Jianfeng MA, Tao FENG, Yinbin MIAO, Ximeng LIU 2018 Singapore Management University

Consortium Blockchain-Based Sift: Outsourcing Encrypted Feature Extraction In The D2d Network, Xiaoqin Feng, Jianfeng Ma, Tao Feng, Yinbin Miao, Ximeng Liu

Research Collection School Of Computing and Information Systems

Privacy-preserving outsourcing algorithms for feature extraction not only reduce users' storage and computation overhead but also preserve the image privacy. However, the existing schemes still suffer from deficiencies induced by security, applications, efficiency and storage. To solve the problems, we implement a consortium chain-based outsourcing feature extraction scheme over encrypted images by using the smart contract, distributed autonomous corporation (DAC), sharding technique, and device to device (D2D) communication, which is secure, widely applied, highly efficient, and has less storage overhead. First, the effectiveness, security, and performance of our scheme are analyzed. Then, the efficiency and storage overhead of our scheme …


Strong Identity-Based Proxy Signature Schemes, Revisited, Weiwei LIU, Yi MU, Guomin YANG, Yangguang TIAN 2018 Singapore Management University

Strong Identity-Based Proxy Signature Schemes, Revisited, Weiwei Liu, Yi Mu, Guomin Yang, Yangguang Tian

Research Collection School Of Computing and Information Systems

Proxy signature is a useful cryptographic primitive that has been widely used in many applications. It has attracted a lot of attention since it was introduced. There have been lots of works in constructing efficient and secure proxy signature schemes. In this paper, we identify a new attack that has been neglected by many existing proven secure proxy signature schemes. We demonstrate this attack by launching it against an identity-based proxy signature scheme which is proven secure. We then propose one method that can effectively prevent this attack. The weakness in some other proxy signature schemes can also be fixed …


Simulation-Based Security Of Function-Hiding Inner Product Encryption, Qingsong ZHAO, Qingkai ZENG, Ximeng LIU, Huanliang XU 2018 Singapore Management University

Simulation-Based Security Of Function-Hiding Inner Product Encryption, Qingsong Zhao, Qingkai Zeng, Ximeng Liu, Huanliang Xu

Research Collection School Of Computing and Information Systems

Functional encryption (FE) [1,2] is a modern type of encryption scheme that extends several previous notions and allows tremendous flexibility in controlling and computing on encrypted data. FE enables an authority to derive constrained decryption keys that are used by a user to obtain specific functions of encrypted messages. Informally, the authority generates a secret key skf for a function f from a master secret key. Then, the user can only learn f(x) from a ciphertext Enc(x) with skf and reveal nothing else about x.


Software Safety And Security Risk Mitigation In Cyber-Physical Systems, Miklos Biro, Atif Mashkoor, Johannes Sametinger, Remzi Seker 2018 Software Competence Center

Software Safety And Security Risk Mitigation In Cyber-Physical Systems, Miklos Biro, Atif Mashkoor, Johannes Sametinger, Remzi Seker

Publications

Cyber-physical systems (CPSs) offer many opportunities but pose many challenges--especially regarding functional safety, cybersecurity, and their interplay, as well as the systems' impact on society. Consequently, new methods and techniques are needed for CPS development and assurance. This article [and issue] aims to address some of these challenges.


Transfer Learning With Convolutional Neural Networks Applied To Periocular Biometrics, Kushal Vangara 2018 Florida Institute of Technology

Transfer Learning With Convolutional Neural Networks Applied To Periocular Biometrics, Kushal Vangara

Theses and Dissertations

Biometrics technologies are designed for recognition of the unique physiological and behavioral features of an individual for identification and verification applications. There have been noteworthy advances in this field to recognize individuals based on their biometric trait(s) for authentication and verification applications. Despite these advances, there are many challenging issues which impede the potential of biometric systems and therefore limit the systems performance. Traditional biometric system design involves a selection of handcrafted features for recognition tasks which are not efficient as the size of the system scales up. Face and iris biometrics are reliable for many identification and verification applications …


Can Ego Defense Mechanism Help Explain Is Security Dysfunctional Behavior, Abhijit Chaudhury, Debasish Mallick 2018 Bryant University

Can Ego Defense Mechanism Help Explain Is Security Dysfunctional Behavior, Abhijit Chaudhury, Debasish Mallick

Information Systems and Analytics Department Faculty Conference Proceedings

IS security behavior studies are becoming popular. To date, much of the research has been based on theories such as the Theory of Planned Behavior, Technology Adoption Model, Rational Choice theory and Theory of Reasoned Action. They view users as rational individuals making conscious utilitarian decisions when there is increasing evidence that security breaches are the result of human behavior such as carelessness, malicious intent, bad habits, and hostility. We propose the ego defense mechanism model, taken from the psychoanalytical world. This model makes no assumption of rationality and has been developed to help understand the roots of dysfunctional behavior …


Vulnerability Analysis: Protecting Information In The Iot, Brian Cusack, Feiqiu Zhuang 2018 Edith Cowan University

Vulnerability Analysis: Protecting Information In The Iot, Brian Cusack, Feiqiu Zhuang

Australian Information Security Management Conference

The research was designed to study IoT security vulnerabilities and how to better protect IoT communications. By researching the system a Fitbit uses for communications, this research analyzes and reveals security defects in the IoT architecture. The research first uses a man-in the middle (MITM) attack to intercept and analyze the Fitbit system traffic to identify security weakness. Then uses a replay attack to further validate these flaws. Finally, countermeasures against these security threats are proposed. The research findings show the Fitbit’s IoT communication architecture has serious information security risks. Firstly, the Fitbit tested does not encrypt the raw data …


Mitigating Man-In-The-Middle Attacks On Mobile Devices By Blocking Insecure Http Traffic Without Using Vpn, Kevin Chong, Muhammad Imran Malik, Peter Hannay 2018 Edith Cowan University

Mitigating Man-In-The-Middle Attacks On Mobile Devices By Blocking Insecure Http Traffic Without Using Vpn, Kevin Chong, Muhammad Imran Malik, Peter Hannay

Australian Information Security Management Conference

Mobile devices are constantly connected to the Internet, making countless connections with remote services. Unfortunately, many of these connections are in cleartext, visible to third-parties while in transit. This is insecure and opens up the possibility for man-in-the-middle attacks. While there is little control over what kind of connection running apps can make, this paper presents a solution in blocking insecure HTTP packets from leaving the device. Specifically, the proposed solution works on the device, without the need to tunnel packets to a remote VPN server, and without special privileges such as root access. Speed tests were performed to quantify …


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