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Table of Contents IEEE Open J. Comput. Soc. Pub Date : 2020-12-29
Presents the table of contents for this issue of the publication.
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IEEE COMPUTER SOCIETY IEEE Open J. Comput. Soc. Pub Date : 2020-12-23
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
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Trace-Based Dynamic Gas Estimation of Loops in Smart Contracts IEEE Open J. Comput. Soc. Pub Date : 2020-11-24 Chunmiao Li; Shijie Nie; Yang Cao; Yijun Yu; Zhenjiang Hu
Smart contracts on Ethereum can be used to encode business logic and have been applied to many different areas, such as token exchanges and games. Unlike general programs, the computations of contracts on Ethereum are restricted by the gas limit. If a transaction runs out of the gas limit before an execution finishes, the Ethereum virtual machine throws an out-of-gas exception, and the entire transaction
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Efficient Detection and Classification of Internet-of-Things Malware Based on Byte Sequences from Executable Files IEEE Open J. Comput. Soc. Pub Date : 2020-10-26 Tzu-Ling Wan; Tao Ban; Shin-Ming Cheng; Yen-Ting Lee; Bo Sun; Ryoichi Isawa; Takeshi Takahashi; Daisuke Inoue
Simple implementation and autonomous operation features make the Internet-of-Things (IoT) vulnerable to malware attacks. Static analysis of IoT malware executable files is a feasible approach to understanding the behavior of IoT malware for mitigation and prevention. However, current analytic approaches based on opcodes or call graphs typically do not work well with diversity in central processing
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Hierarchical Pooling Strategy Optimization for Accelerating Asymptomatic COVID-19 Screening IEEE Open J. Comput. Soc. Pub Date : 2020-11-06 Keqin Li
Testing has been a major factor that limits our response to the COVID-19 pandemic. The method of sample pooling and group test has recently been introduced and adopted. However, it is still not clearly known how to determine the appropriate group size. In this paper, we treat asymptomatic COVID-19 screening acceleration as an optimization problem, and solve the problem using an analytical approach
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Etoram: A More Efficient ORAM for Secure Computation IEEE Open J. Comput. Soc. Pub Date : 2020-10-21 Zhihong Chen; Bo Zhao; Hai Lin; Lin Chen
When scaling a distributed ORAM to a two-party secure computation, the overhead is dominated by the number of pseudo-random generator (PRG) calls in generation and evaluation of a distributed point function (DPF), which are O (log n ) and O ( n ) respectively, where n is the number of data blocks. We propose a distributed ORAM scheme, in which the PRG calls are reduced to O (log( zn/λ )) for generation
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Anti-Honeypot Enabled Optimal Attack Strategy for Industrial Cyber-Physical Systems IEEE Open J. Comput. Soc. Pub Date : 2020-10-13 Beibei Li; Yue Xiao; Yaxin Shi; Qinglei Kong; Yuhao Wu; Haiyong Bao
Honeypots have been widely used in the security community to understand the cyber threat landscape, for example to study unauthorized penetration attempts targeting industrial cyber-physical systems (ICPS) and observing the behaviors in such activities. However, some better-resourced cyber attackers may attempt to identify honeypots and develop strategies to compromise them, aka anti-honeypot. In this
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Self-Optimizing Optical Network With Cloud-Edge Collaboration: Architecture and Application IEEE Open J. Comput. Soc. Pub Date : 2020-10-14 Zhuotong Li; Yongli Zhao; Yajie Li; Mingzhe Liu; Zebin Zeng; Xiangjun Xin; Feng Wang; Xinghua Li; Jie Zhang
As an important bearer network of the fifth generation (5G) mobile communication technology, the optical transport network (OTN) needs to have high-quality network performance and management capabilities. Proof by facts, the combination of artificial intelligence (AI) technology and software-defined networking (SDN) can improve significant optimization effects and management for optical transport networks
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How Blockchain Enhances Supply Chain Management: A Survey IEEE Open J. Comput. Soc. Pub Date : 2020-09-21 Denisolt Shakhbulatov; Jorge Medina; Ziqian Dong; Roberto Rojas-Cessa
Providing transparency and trust among participants and stakeholders and ensuring an efficient operation are current supply chain challenges. These challenges are difficult to resolve because the records of supply chains may be exposed to alterations by participants. Blockchain technology has been identified as a promising solution to resolve these challenges. In this paper, we introduce blockchain
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Analysis and Insights for Myths Circulating on Twitter During the COVID-19 Pandemic IEEE Open J. Comput. Soc. Pub Date : 2020-10-05 Shuiqiao Yang; Jiaojiao Jiang; Arindam Pal; Kun Yu; Fang Chen; Shui Yu
The current COVID-19 pandemic and its uncertainty have given rise to various myths and rumours. These myths spread incredibly fast through social media, which has caused massive panic in society. In this paper, we comprehensively examined the prevailing myths related to COVID-19 in regard to the diffusion of myths, people's engagement with myths and people's subjective emotions to myths. First, we
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Concatenated Graph Coding on Bandwidth Part for Secure Pilot Authentication in Grant-Free URLLC IEEE Open J. Comput. Soc. Pub Date : 2020-10-05 Dongyang Xu; Pinyi Ren
Grant-free multiple access is a critical mechanism introduced in 5G new radio (NR) to support ultra-reliable low-latency communication (URLLC) services. Pilot authentication (PA) is a key security mechanism to guarantee reliable performance of grant-free URLLC. However, PA can be easily paralyzed by pilot-aware attack since pilot signals are usually publicly known, and unprotected. To solve this, we
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A Secure Communication System in Self-Organizing Networks via Lightweight Group Key Generation IEEE Open J. Comput. Soc. Pub Date : 2020-09-28 Sirui Peng; Biao Han; Celimuge Wu; Baosheng Wang
Self-organizing networks provide rapid and convenient networking for many situations and have gained extensive research. With the progress of researches, security issues have attracted people's attention. There is no central node in self-organizing networks, and therefore the traditional key distribution methods based on public infrastructure do not work. The standardized pre-shared keys have predictable
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Vision Paper: Grand Challenges in Resilience: Autonomous System Resilience through Design and Runtime Measures IEEE Open J. Comput. Soc. Pub Date : 2020-07-03 Saurabh Bagchi; Vaneet Aggarwal; Somali Chaterji; Fred Douglis; Aly El Gamal; Jiawei Han; Brian J. Henz; Henry Hoffmann; Suman Jana; Milind Kulkarni; Felix Xiaozhu Lin; Karen Marais; Prateek Mittal; Shaoshuai Mou; Xiaokang Qiu; Gesualdo Scutari
In this article, we put forward the substantial challenges in cyber resilience in the domain of autonomous systems and outline foundational solutions to address these challenges. These solutions fall into two broad themes: resilience-by-design and resilience-by-reaction . We use several application drivers from autonomous systems to motivate the challenges in cyber resilience and to demonstrate the
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LD-Net: An Efficient Lightweight Denoising Model Based on Convolutional Neural Network IEEE Open J. Comput. Soc. Pub Date : 2020-07-29 Trung-Hieu Le; Po-Hsiung Lin; Shih-Chia Huang
The removal of impulse noise is a crucial pre-processing step in image processing systems. In recent years, numerous noise-removal methods have been proposed to improve denoizing performance and reconstruct noise-free images. However, removing high-density impulse noise remains a major challenge. In this paper, to address the image denoizing problem associated with high-density noise, we propose a
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SPQER: Speech Quality Evaluation Using Word Recognition for VoIP Communication in Lossy and Mobile Networks IEEE Open J. Comput. Soc. Pub Date : 2020-07-23 Bertram Schuetz; Nils Aschenbruck
In this paper, we introduce SPQER (pronounced speaker), a novel approach to evaluate the quality of experience for real-time Voice over IP (VoIP) communication in mobile and lossy networks. Traditional speech quality metrics, e.g., Perceptual Evaluation of Speech Quality (PESQ) or the Hearing-Aid Speech Quality Index (HASQI), directly compare frequencies and amplitudes to calculate the received signal
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Leakage-Resilient Certificate-based Key Encapsulation Scheme Resistant to Continual Leakage IEEE Open J. Comput. Soc. Pub Date : 2020-07-14 Jui-Di Wu; Yuh-Min Tseng; Sen-Shan Huang; Tung-Tso Tsai
In the past, the security of most public-key encryption or key encapsulation schemes is shown in an ideal model, where private keys, secret keys and random values are assumed to be absolutely secure to adversaries. However, this ideal model is not practical due to side-channel attacks in the sense that adversaries could gain partial information of these secret values involved in decryption operations
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An Instrument for Remote Kissing and Engineering Measurement of Its Communication Effects Including Modified Turing Test IEEE Open J. Comput. Soc. Pub Date : 2020-06-17 Adrian David Cheok
Various communication systems have been developed to integrate the haptic channel in digital communication. Future directions of such haptic technologies are moving towards realistic virtual reality applications and human-robot social interaction. With the digitisation of touch, robots equipped with touch sensors and actuators can communicate with humans on a more emotional and intimate level, such
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Fuzzy Logic-Based Adaptive Point Cloud Video Streaming IEEE Open J. Comput. Soc. Pub Date : 2020-07-01 Zhi Liu; Jie Li; Xianfu Chen; Celimuge Wu; Susumu Ishihara; Yusheng Ji; Jie Li
Point cloud video provides 6 degrees of freedom (6DoF) viewing experiences to allow users to freely select the viewing angles of 3D scenes and is expected to be the next-generation video. This paper studies the point cloud video streaming and proposes a fuzzy logic-based point cloud video streaming scheme to solve the inherent technical issues. In particular, a point cloud video is first partitioned
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Network Resource Allocation Strategy Based on Deep Reinforcement Learning IEEE Open J. Comput. Soc. Pub Date : 2020-06-05 Shidong Zhang; Chao Wang; Junsan Zhang; Youxiang Duan; Xinhong You; Peiying Zhang
The traditional Internet has encountered a bottleneck in allocating network resources for emerging technology needs. Network virtualization (NV) technology as a future network architecture, the virtual network embedding (VNE) algorithm it supports shows great potential in solving resource allocation problems. Combined with the efficient machine learning (ML) algorithm, a neural network model close
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XBlock-ETH: Extracting and Exploring Blockchain Data From Ethereum IEEE Open J. Comput. Soc. Pub Date : 2020-05-06 Peilin Zheng; Zibin Zheng; Jiajing Wu; Hong-Ning Dai
Blockchain-based cryptocurrencies have received extensive attention recently. Massive data has been stored on permission-less blockchains. The analysis of massive blockchain data can bring huge business values. However, the absence of well-processed up-to-date blockchain datasets impedes big data analytics of blockchain data. To fill this gap, we collect and process the up-to-date on-chain data from
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Federated Learning for Vehicular Internet of Things: Recent Advances and Open Issues IEEE Open J. Comput. Soc. Pub Date : 2020-05-06 Zhaoyang Du; Celimuge Wu; Tsutomu Yoshinaga; Kok-Lim Alvin Yau; Yusheng Ji; Jie Li
Federated learning (FL) is a distributed machine learning approach that can achieve the purpose of collaborative learning from a large amount of data that belong to different parties without sharing the raw data among the data owners. FL can sufficiently utilize the computing capabilities of multiple learning agents to improve the learning efficiency while providing a better privacy solution for the
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Analyzing CSP Trustworthiness and Predicting Cloud Service Performance IEEE Open J. Comput. Soc. Pub Date : 2020-05-11 Robert Maeser
Analytics firm Cyence estimated Amazon's four-hour cloud computing outage in 2017 “cost S&P 500 companies at least $150 million” and traffic monitoring firm Apica claimed “54 of the top 100 online retailers saw site performance slump by at least 20 percent”. According to Ponemon, 2015 data center outages cost Fortune 1000 companies between $1.25 and $2.5 billion. Despite potential risks, the cloud
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FedVision: Federated Video Analytics With Edge Computing IEEE Open J. Comput. Soc. Pub Date : 2020-05-21 Yang Deng; Tao Han; Nirwan Ansari
Widely deployed smart cameras are generating a large amount of video data and capable of processing frames on devices. Empowered by edge computing, the video data can also be offloaded to edge servers for processing. By leveraging the on-device processing and computation offloading, we propose a federated video analytics system named FedVision to efficiently provision video analytics across devices
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Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge Based Framework IEEE Open J. Comput. Soc. Pub Date : 2020-05-08 Qiong Wu; Kaiwen He; Xu Chen
Internet of Things (IoT) have widely penetrated in different aspects of modern life and many intelligent IoT services and applications are emerging. Recently, federated learning is proposed to train a globally shared model by exploiting a massive amount of user-generated data samples on IoT devices while preventing data leakage. However, the device, statistical and model heterogeneities inherent in
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Covert Communication via the QR Code Image by a Data Hiding Technique Based on Module Shape Adjustments IEEE Open J. Comput. Soc. Pub Date : 2020-04-02 Da-Chun Wu; Yuan-Ming Wu
A novel data hiding method for covert communication via the QR code image based on adjustments of the shapes of the QR code modules using image processing techniques is proposed. A module block consisting of two module pairs is taken as the unit for message-bit embedding by adjusting the vertical and horizontal internal boundaries in the module pairs. Eliminations of the resulting boundary line zigzaggedness
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A Simulation Study of the Measurement of Queueing Delay Over End-to-End Paths IEEE Open J. Comput. Soc. Pub Date : 2020-03-04 Khondaker Salehin; Ki Won Kwon; Roberto Rojas-Cessa
Determining the qualitative States-of-the-Internet requires an accurate knowledge of queueing delay over an end-to-end path. However, the measurement of queueing delay in a large network is still considered a complex and open problem. Existing schemes that measure queueing delay compensate for this complexity using a high infrastructural support and administrative access to the path under test even
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IEEE Open Journal of the Computer Society (OJCS) Instructions for Authors IEEE Open J. Comput. Soc. Pub Date : 2019-09-20
Provides instructions and guidelines to prospective authors who wish to submit manuscripts.
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Front Cover IEEE Open J. Comput. Soc. Pub Date : 2019-08-30
Presents the front cover for this issue of the publication.
Contents have been reproduced by permission of the publishers.