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Enhancing A Cluster-Based Tdma Mac Protocol For Vehicle-To-Vehicle Communications, Abubakar Bello Tambawal 2020 Universiti Malaya

Enhancing A Cluster-Based Tdma Mac Protocol For Vehicle-To-Vehicle Communications, Abubakar Bello Tambawal

Student Works (2020-2029)

Vehicular Ad hoc Network technology (VANET) is one of the emerging and promising wireless technology, providing support for vehicles to communicate and share resources, (such as safety messages) through vehicle-to-vehicle (V2V) communications. Sequel to that the Time Division Multiple Access (TDMA) MAC protocol using a cluster-based topology has been proposed by the research community. Most of the existing research works focused on the cluster head (CH) election with very few addressing other critical issues, including cluster formation, efficient time slot allocation, and cluster maintenance. These challenges result in an unstable cluster, which could affect the timely delivery of safety applications. …


Rethinking The Weakness Of Stream Ciphers And Its Application To Encrypted Malware Detection, William Stone, Daeyoung Kim, Victor Youdom Kemmoe, Mingon Kang, Junggab Son 2020 Kennesaw State University

Rethinking The Weakness Of Stream Ciphers And Its Application To Encrypted Malware Detection, William Stone, Daeyoung Kim, Victor Youdom Kemmoe, Mingon Kang, Junggab Son

School of Computing Faculty Scholarship and Creative Works

One critical vulnerability of stream ciphers is the reuse of an encryption key. Since most stream ciphers consist of only a key scheduling algorithm and an Exclusive OR (XOR) operation, an adversary may break the cipher by XORing two captured ciphertexts generated under the same key. Various cryptanalysis techniques based on this property have been introduced in order to recover plaintexts or encryption keys; in contrast, this research reinterprets the vulnerability as a method of detecting stream ciphers from the ciphertexts it generates. Patterns found in the values (characters) expressed across the bytes of a ciphertext make the ciphertext distinguishable …


قبول المعلومات الأمنية وردها في ضوء مناهج المحدثين, Hicham Almaghari 2020 أكاديمية فلسطين للعلوم الأمنية

قبول المعلومات الأمنية وردها في ضوء مناهج المحدثين, Hicham Almaghari

Al Jinan الجنان

عالج الباحث الموضوع في مبحثين: قدّم في الأول تعريف المعلومة الأمنية لغة واصطلاحا، وأشار إلى مجالات النشاط الاستخباري بشكل عام، ثم عرّف المعلومة الأمنية، وأصل في المبحث الثاني طرققبول المعلومة الأمنية وردها مستفيدا من مناهج المحدثين. اتبع الباحث المنهج الوصفي بغرض التعريف بالأمن والمعلومات، وتتبع منهج المحدثين في قبول ورد الرواية، كما اتبع المنهج التحليلي في مقاربة طرق المحدثين عند قبولهم أو ردهم للرواية، ومقارنة ذلك مع المعلومة الأمنية للوصول إلى النتائج المرجوة . توصل الباحث إلى وجود كثير من القواسم المشتركة بين صناعة المعلومة الأمنية ومنهج المدثين في التعاطي مع الرواية. خلص الباحث إلى ضرورة الاستفادة من مناهج المحدّثين …


Integrated Cyberattack Detection And Resilient Control Strategies Using Lyapunov-Based Economic Model Predictive Control, Henrique Oyama, Helen Durand 2020 Wayne State University

Integrated Cyberattack Detection And Resilient Control Strategies Using Lyapunov-Based Economic Model Predictive Control, Henrique Oyama, Helen Durand

Chemical Engineering and Materials Science Faculty Research Publications

The use of an integrated system framework, characterized by numerous cyber/physical components (sensor measurements, signals to actuators) connected through wired/wireless networks, has not only increased the ability to control industrial systems, but also the vulnerabilities to cyberattacks. State measurement cyberattacks could pose threats to process control systems since feedback control may be lost if the attack policy is not thwarted. Motivated by this, we propose three detection concepts based on Lyapunov‐based economic model predictive control (LEMPC) for nonlinear systems. The first approach utilizes randomized modifications to an LEMPC formulation online to potentially detect cyberattacks. The second method detects attacks when …


A Survey On Securing Personally Identifiable Information On Smartphones, Dar’rell Pope, Yen-Hung (Frank) Hu, Mary Ann Hoppa 2020 Norfolk State University

A Survey On Securing Personally Identifiable Information On Smartphones, Dar’Rell Pope, Yen-Hung (Frank) Hu, Mary Ann Hoppa

Virginia Journal of Science

With an ever-increasing footprint, already topping 3 billion devices, smartphones have become a huge cybersecurity concern. The portability of smartphones makes them convenient for users to access and store personally identifiable information (PII); this also makes them a popular target for hackers. This survey shares practical insights derived from analyzing 16 real-life case studies that exemplify: the vulnerabilities that leave smartphones open to cybersecurity attacks; the mechanisms and attack vectors typically used to steal PII from smartphones; the potential impact of PII breaches upon all parties involved; and recommended defenses to help prevent future PII losses. The contribution of this …


The Hidden Advantage Among Digital Natives Within Bug Bounty Programs, James (Jimmy) Allah-Mensah 2020 Christopher Newport University

The Hidden Advantage Among Digital Natives Within Bug Bounty Programs, James (Jimmy) Allah-Mensah

Cybersecurity Undergraduate Research Showcase

Bug bounty programs are a great way for companies and organizations to help keep their systems and information secure; however, there are only a limited number of white hat hacking participant spots. With only so many seats available at the table, being able to determine the most qualified group of individuals is critical to the efficiency of the program at large. Digital natives, people born into the digital age, provide an instinctive approach when dealing with technology. On the other hand, digital immigrants, people who grew up before the digital age and had to adapt to new technology, evidently utilize …


The Internet Never Forgets: Image-Based Sexual Abuse And The Workplace, John Schriner, Melody Lee Rood 2020 CUNY Queensborough Community College

The Internet Never Forgets: Image-Based Sexual Abuse And The Workplace, John Schriner, Melody Lee Rood

Publications and Research

Image-based sexual abuse (IBSA), commonly known as revenge pornography, is a type of cyberharassment that often results in detrimental effects to an individual's career and livelihood. Although there exists valuable research concerning cyberharassment in the workplace generally, there is little written about specifically IBSA and the workplace. This chapter examines current academic research on IBSA, the issues with defining this type of abuse, victim blaming, workplace policy, and challenges to victim-survivors' redress. The authors explore monetary motivation for websites that host revenge pornography and unpack how the dark web presents new challenges to seeking justice. Additionally, this chapter presents recommendations …


White-Box Fairness Testing Through Adversarial Sampling, Peixin ZHANG, Jingyi WANG, Jun SUN, Guoliang DONG, Xinyu WANG, Xingen WANG, Jin Song DONG, Dai TING 2020 Zhejiang University

White-Box Fairness Testing Through Adversarial Sampling, Peixin Zhang, Jingyi Wang, Jun Sun, Guoliang Dong, Xinyu Wang, Xingen Wang, Jin Song Dong, Dai Ting

Research Collection School Of Computing and Information Systems

Although deep neural networks (DNNs) have demonstrated astonishing performance in many applications, there are still concerns on their dependability. One desirable property of DNN for applications with societal impact is fairness (i.e., non-discrimination). In this work, we propose a scalable approach for searching individual discriminatory instances of DNN. Compared with state-of-the-art methods, our approach only employs lightweight procedures like gradient computation and clustering, which makes it significantly more scalable than existing methods. Experimental results show that our approach explores the search space more effectively (9 times) and generates much more individual discriminatory instances (25 times) using much less time (half …


Lecture - Csci 275: Linux Systems Administration And Security, Moe Hassan, NYC Tech-in-Residence Corps 2020 CUNY John Jay College

Lecture - Csci 275: Linux Systems Administration And Security, Moe Hassan, Nyc Tech-In-Residence Corps

Open Educational Resources

Lecture for CSCI 275: Linux Systems Administration and Security


Revisiting The Law Of Confidence In Singapore And A Proposal For A New Tort Of Misuse Of Private Information, Cheng Lim SAW, Zheng Wen Samuel CHAN, Wen Min CHAI 2020 Singapore Management University

Revisiting The Law Of Confidence In Singapore And A Proposal For A New Tort Of Misuse Of Private Information, Cheng Lim Saw, Zheng Wen Samuel Chan, Wen Min Chai

Research Collection Yong Pung How School Of Law

This article critically examines the recent Court of Appeal decision in I-Admin (Singapore) Pte Ltd v Hong Ying Ting [2020] 1 SLR 1130 and its implications for the law of confidence. The article begins by setting out the decision at first instance, and then on appeal. It argues that the Court of Appeal’s “modified approach” fails to meaningfully engage the plaintiff ’s wrongful gain interest and places the law’s emphasis primarily, if not wholly, on the plaintiff ’s wrongful loss interest. The new framework also appears to have been influenced by English jurisprudence, which has had a long but unhelpful …


Revocable And Certificateless Public Auditing For Cloud Storage, Yinghui ZHANG, Tiantian ZHANG, Shengmin XU, Guowen XU, Dong ZHENG 2020 Xi'an Institute of Posts and Telecommunications

Revocable And Certificateless Public Auditing For Cloud Storage, Yinghui Zhang, Tiantian Zhang, Shengmin Xu, Guowen Xu, Dong Zheng

Research Collection School Of Computing and Information Systems

Plenty of computing and storage resources in the cloud are provided for users with restricted computing and storage resources, which has attracted the attention of many researchers. A generic blockchain-based cloud data auditing scheme is proposed, which is compatible with any blockchains including the bitcoin blockchain. In the data integrity checking scheme, certificateless signature (CLS) can be used to verify the identity of users. Besides, the key exchange is utilized in the key generation, which can eliminate the security channel to achieve system robustness. Considering the real situation, the users who join the cloud storage system may be revoked for …


Efficient Ciphertext-Policy Attribute-Based Encryption With Blackbox Traceability, Shengmin XU, Jiaming YUAN, Guowen XU, Yingjiu Li, Ximeng LIU, Yinghui ZHANG, Zuobin YANG 2020 Singapore Management University

Efficient Ciphertext-Policy Attribute-Based Encryption With Blackbox Traceability, Shengmin Xu, Jiaming Yuan, Guowen Xu, Yingjiu Li, Ximeng Liu, Yinghui Zhang, Zuobin Yang

Research Collection School Of Computing and Information Systems

Traitor tracing scheme is a paradigm to classify the users who illegal use of their decryption keys in cryptosystems. In the ciphertext-policy attribute-based cryptosystem, the decryption key usually contains the users’ attributes, while the real identities are hidden. The decryption key with hidden identities enables malicious users to intentionally leak decryption keys or embed the decryption keys in the decryption device to gain illegal profits with a little risk of being discovered. To mitigate this problem, the concept of blackbox traceability in the ciphertext-policy attribute-based scheme was proposed to identify the malicious user via observing the I/O streams of the …


Catch You If You Deceive Me: Verifiable And Privacy-Aware Truth Discovery In Crowdsensing Systems, Guowen XU, Hongwei LI, Shengmin XU, Hao REN, Yonghui ZHANG, Jianfei SUN, Robert H. DENG 2020 University of Electronic Science and Technology of China

Catch You If You Deceive Me: Verifiable And Privacy-Aware Truth Discovery In Crowdsensing Systems, Guowen Xu, Hongwei Li, Shengmin Xu, Hao Ren, Yonghui Zhang, Jianfei Sun, Robert H. Deng

Research Collection School Of Computing and Information Systems

Truth Discovery (TD) is to infer truthful information by estimating the reliability of users in crowdsensing systems. To protect data privacy, many Privacy-Preserving Truth Discovery (PPTD) approaches have been proposed. However, all existing PPTD solutions do not consider a fundamental issue of trust. That is, if the data aggregator (e.g., the cloud server) is not trustworthy, how can an entity be convinced that the data aggregator has correctly performed the PPTD? A "lazy"cloud server may partially follow the deployed protocols to save its computing and communication resources, or worse, maliciously forge the results for some shady deals. In this paper, …


Attribute-Based Fine-Grained Access Control For Outscored Private Set Intersection Computation, Mohammad ALI, MOHAJERI Javad, Mohammad-Reza SADEGHI, Ximeng LIU 2020 Amirkabir University of Technology-Iran

Attribute-Based Fine-Grained Access Control For Outscored Private Set Intersection Computation, Mohammad Ali, Mohajeri Javad, Mohammad-Reza Sadeghi, Ximeng Liu

Research Collection School Of Computing and Information Systems

Private set intersection (PSI) is a fundamental cryptographic protocol which has a wide range of applications. It enables two clients to compute the intersection of their private datasets without revealing non-matching elements. The advent of cloud computing drives the ambition to reduce computation and data management overhead by outsourcing such computations. However, since the cloud is not trustworthy, some cryptographic methods should be applied to maintain the confidentiality of datasets. But, in doing so, data owners may be excluded from access control on their outsourced datasets. Therefore, to control access rights and to interact with authorized users, they have to …


Towards Systematically Deriving Defence Mechanisms From Functional Requirements Of Cyber-Physical Systems, Cheah Huei YOONG, Venkata Reddy PALLETI, Arlindo SILVA, Christopher M. POSKITT 2020 Singapore Management University

Towards Systematically Deriving Defence Mechanisms From Functional Requirements Of Cyber-Physical Systems, Cheah Huei Yoong, Venkata Reddy Palleti, Arlindo Silva, Christopher M. Poskitt

Research Collection School Of Computing and Information Systems

The threats faced by cyber-physical systems (CPSs) in critical infrastructure have motivated the development of different attack detection mechanisms, such as those that monitor for violations of invariants, i.e. properties that always hold in normal operation. Given the complexity of CPSs, several existing approaches focus on deriving invariants automatically from data logs, but these can miss possible system behaviours if they are not represented in that data. Furthermore, resolving any design flaws identified in this process is costly, as the CPS is already built. In this position paper, we propose a systematic method for deriving invariants before a CPS is …


Lis: Lightweight Signature Schemes For Continuous Message Authentication In Cyber-Physical Systems, Zheng YANG, Chenglu JIN, Yangguang TIAN, Junyu LAI, Jianying ZHOU 2020 Singapore University of Technology and Design

Lis: Lightweight Signature Schemes For Continuous Message Authentication In Cyber-Physical Systems, Zheng Yang, Chenglu Jin, Yangguang Tian, Junyu Lai, Jianying Zhou

Research Collection School Of Computing and Information Systems

Cyber-Physical Systems (CPS) provide the foundation of our critical infrastructures, which form the basis of emerging and future smart services and improve our quality of life in many areas. In such CPS, sensor data is transmitted over the network to the controller, which will make real-time control decisions according to the received sensor data. Due to the existence of spoofing attacks (more specifically to CPS, false data injection attacks), one has to protect the authenticity and integrity of the transmitted data. For example, a digital signature can be used to solve this issue. However, the resource-constrained field devices like sensors …


Two-Stage Photograph Cartoonization Via Line Tracing, Simin LI, Qiang WEN, Shuang ZHAO, Zixun SUN, Shengfeng HE 2020 Singapore Management University

Two-Stage Photograph Cartoonization Via Line Tracing, Simin Li, Qiang Wen, Shuang Zhao, Zixun Sun, Shengfeng He

Research Collection School Of Computing and Information Systems

Cartoon is highly abstracted with clear edges, which makes it unique from the other art forms. In this paper, we focus on the essential cartoon factors of abstraction and edges, aiming to cartoonize real-world photographs like an artist. To this end, we propose a two-stage network, each stage explicitly targets at producing abstracted shading and crisp edges respectively. In the first abstraction stage, we propose a novel unsupervised bilateral flattening loss, which allows generating high-quality smoothing results in a label-free manner. Together with two other semantic-aware losses, the abstraction stage imposes different forms of regularization for creating cartoon-like flattened images. …


Hierarchical Identity-Based Signature In Polynomial Rings, Zhichao YANG, Dung H. DUONG, Willy SUSILO, Guomin YANG, Chao LI, Rongmao CHEN 2020 Singapore Management University

Hierarchical Identity-Based Signature In Polynomial Rings, Zhichao Yang, Dung H. Duong, Willy Susilo, Guomin Yang, Chao Li, Rongmao Chen

Research Collection School Of Computing and Information Systems

Hierarchical identity-based signature (HIBS) plays a core role in a large community as it significantly reduces the workload of the root private key generator. To make HIBS still available and secure in post-quantum era, constructing lattice-based schemes is a promising option. In this paper, we present an efficient HIBS scheme in polynomial rings. Although there are many lattice-based signatures proposed in recent years, to the best of our knowledge, our HIBS scheme is the first ring-based construction. In the center of our construction are two new algorithms to extend lattice trapdoors to higher dimensions, which are non-trivial and of independent …


Presentation Of Computer Security Risk Information: Impact Of Framing And Base Size, Xinhui ZHAN, Fiona Fui-hoon NAH, Keng SIAU, Richard HALL, Maggie CHENG 2020 Singapore Management University

Presentation Of Computer Security Risk Information: Impact Of Framing And Base Size, Xinhui Zhan, Fiona Fui-Hoon Nah, Keng Siau, Richard Hall, Maggie Cheng

Research Collection School Of Computing and Information Systems

This research explores how the presentation of computer security risks impacts users’ risk perceptions and behavior. It draws on Prospect Theory to generate hypotheses related to users’ decision-making in the computer security context. A 2 × 3 mixed factorial experimental design (N = 178) was carried out and the results show that framing and base size of information on computer security risks influence users’ perceived risk and risk-taking behavior. More specifically, negative framing and large base size increase users’ perceived risk and reduce users’ risk-taking behavior. The findings from this research suggest that using negative framing and large base size …


Memory Foreshadow: Memory Forensics Of Hardware Cryptocurrency Wallets – A Tool And Visualization Framework, Tyler Thomas, Mathew Piscitelli, Ilya Shavrov, Ibrahim Baggili 2020 University of New Haven

Memory Foreshadow: Memory Forensics Of Hardware Cryptocurrency Wallets – A Tool And Visualization Framework, Tyler Thomas, Mathew Piscitelli, Ilya Shavrov, Ibrahim Baggili

Electrical & Computer Engineering and Computer Science Faculty Publications

We present Memory FORESHADOW: Memory FOREnSics of HArDware cryptOcurrency Wallets. To the best of our knowledge, this is the primary account of cryptocurrency hardware wallet client memory forensics. Our exploratory analysis revealed forensically relevant data in memory including transaction history, extended public keys, passphrases, and unique device identifiers. Data extracted with FORESHADOW can be used to associate a hardware wallet with a computer and allow an observer to deanonymize all past and future transactions due to hierarchical deterministic wallet address derivation. Additionally, our novel visualization framework enabled us to measure both the persistence and integrity of artifacts produced by the …


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