scholarly journals Practical SM2-Based Multisignature Scheme with Applications to Vehicular Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Lin Hou ◽  
Wei Liu ◽  
Lisha Yao ◽  
Xiaojian Liang ◽  
Guo-Qiang Zeng
Keyword(s):  
Vehicular Networks ◽  
Transportation System ◽  
Security Requirements ◽  
Security And Privacy ◽  
Privacy Concerns ◽  
Storage Cost ◽  
Verification Time ◽  
And Storage

In vehicular networks, the increasing value of transportation data and scale of connectivity also brings many security and privacy concerns. Peer authentication and message integrity are two vital security requirements to ensure safe transportation system. Because of the constrained resources of the units performing the cryptographic components, the proposed security-enhancing schemes should be lightweight and scalable. In this paper, we present a multisignature scheme derived from the SM2 signature which enables a group of parties to collaboratively sign a message and generate a compact joint signature at the end. Our scheme requires no preprocessing or interactions among the parties before signing, and its performance matches or surpasses known ones in terms of signing time, verification time, and signature size. Therefore, our scheme is also suitable for vehicular networks, with the goal to enhance security with small computation and storage cost.

scholarly journals Understanding Security Requirements and Challenges in Internet of Things (IoT): A Review

2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Sufian Hameed ◽  
Faraz Idris Khan ◽  
Bilal Hameed
Keyword(s):  
Internet Of Things ◽  
State Of The Art ◽  
Security Requirements ◽  
Security And Privacy ◽  
Embedded Devices ◽  
Privacy Concerns ◽  
Security Challenges ◽  
Domains Of Life ◽  
Free Flow Of Information ◽  
Flow Of Information

Internet of things (IoT) is realized by the idea of free flow of information amongst various low-power embedded devices that use the Internet to communicate with one another. It is predicted that the IoT will be widely deployed and will find applicability in various domains of life. Demands of IoT have lately attracted huge attention, and organizations are excited about the business value of the data that will be generated by deploying such networks. On the contrary, IoT has various security and privacy concerns for the end users that limit its proliferation. In this paper, we have identified, categorized, and discussed various security challenges and state-of-the-art efforts to resolve these challenges.

Privacy Preservation in Cloud Based Cyber Physical Systems

2019 ◽  
Vol 16 (10) ◽  
pp. 4320-4327 ◽  
Author(s):  
Anees Ara
Keyword(s):  
Cloud Computing ◽  
Privacy Preservation ◽  
Cyber Physical Systems ◽  
Security Requirements ◽  
Security And Privacy ◽  
Privacy Concerns ◽  
Physical Systems ◽  
Tightly Coupled ◽  
Time Critical ◽  
Computational Systems

The Cyber physical systems (CPS) are integration of tightly coupled resource constrained physical and computational systems,which have several real time critical care applications. These systems depend on sensors to sense the physical environment. To overcome the limitations of computational power, CPS are supported by cloud computing systems as their backend. The enablement of cloud support to cyber physical cloud computing systemshave seamless advantages of improved efficiency, in same way this leads to major security and privacy concerns. These systems have decentralized and heterogeneous infrastructure and to fulfill all the security requirements, it is certainly a very complex task. In this paper we propose a generalized system model for securing different types of cloud based cyber physical systems, adversary model and holistic literature review of various CPS services, attacks, security challenges and the security schemes that can be applied to overcome a given attacks. At the end of the paper we discuss a case study on securing Medical CPS and compare the applicability of security schemes in this scenario.

Vehicular Networks Security

2010 ◽  
pp. 1506-1519
Author(s):  
Christian Tchepnda ◽  
Hassnaa Moustafa ◽  
Houda Labiod ◽  
Gilles Bourdon
Keyword(s):  
Vehicular Networks ◽  
Intelligent Transportation System ◽  
Intelligent Transportation ◽  
Transportation System ◽  
Security Requirements ◽  
General Classification ◽  
Security Challenges ◽  
Different Types

This article provides a panorama on the security in vehicular networks’ environments. The special characteristics of these environments are presented and a general classification for the different types of attacks illustrated by some relevant attacks examples is introduced. Consequently, some key security requirements and security challenges are derived, considering Intelligent Transportation System (ITS) or Safety services as well as non-ITS or non-Safety services. Finally, some existing contributions in this subject are presented, and their deployment feasibility is discussed.

scholarly journals Verifiable secure computation of linear fractional programming using certificate validation

2020 ◽  
Vol 11 (1) ◽  
pp. 284
Author(s):  
Nedal M. Mohammed ◽  
Laman R. Sultan ◽  
Ahmed A. Hamoud ◽  
Santosh S. Lomte
Keyword(s):  
Fractional Programming ◽  
Service Providers ◽  
Secure Computation ◽  
Security And Privacy ◽  
Multiparty Computation ◽  
Linear Fractional Programming ◽  
Privacy Concerns ◽  
Storage Devices ◽  
Input And Output ◽  
And Storage

Outsourcing of scientic computations is attracting increasing attention since it enables the customers with limited computing resource and storage devices to outsource the sophisticated computation workloads into powerful service providers. However, it also comes up with some security and privacy concerns and challenges, such as the input and output privacy of the customers, and cheating behaviors of the cloud. Motivated by these issues, this paper focused on privacy-preserving Linear Fractional Programming (LFP) as a typical and practically relevant case for veriable secure multiparty computation. We will investigate the secure and veriable schema with correctness guarantees, by using normal multiparty techniques to compute the result of a computation and then using veriable techniques only to verify that this result was correct.

Vehicular Networks Security

2011 ◽  
pp. 43-55
Author(s):  
Christian Tchepnda ◽  
Hassnaa Moustafa ◽  
Houda Labiod ◽  
Gilles Bourdon
Keyword(s):  
Vehicular Networks ◽  
Intelligent Transportation System ◽  
Intelligent Transportation ◽  
Transportation System ◽  
Security Requirements ◽  
General Classification ◽  
Security Challenges ◽  
Different Types

This article provides a panorama on the security in vehicular networks’ environments. The special characteristics of these environments are presented and a general classification for the different types of attacks illustrated by some relevant attacks examples is introduced. Consequently, some key security requirements and security challenges are derived, considering Intelligent Transportation System (ITS) or Safety services as well as non-ITS or non-Safety services. Finally, some existing contributions in this subject are presented, and their deployment feasibility is discussed.

scholarly journals Cognitive Internet of Vehicles: Motivation, Layered Architecture and Security Issues

2019 ◽  
Author(s):  
Khondokar Fida Hasan
Keyword(s):  
Artificial Intelligence ◽  
Transportation System ◽  
Security Requirements ◽  
Security And Privacy ◽  
Local Network ◽  
Practical Implementation ◽  
Clear Understanding ◽  
Technological Evolution ◽  
Security Issues ◽  
The Future

Over the past few years, we have experienced great technological advancements in the information and communication field, which has significantly contributed to reshaping the Intelligent Transportation System (ITS) concept. Evolving from the platform of a collection of sensors aiming to collect data, the data exchanged paradigm among vehicles is shifted from the local network to the cloud. With the introduction of cloud and edge computing along with ubiquitous 5G mobile network, it is expected to see the role of Artificial Intelligence (AI) in data processing and smart decision imminent. So as to fully understand the future automobile scenario in this verge of industrial revolution 4.0, it is necessary first of all to get a clear understanding of the cutting-edge technologies that going to take place in the automotive ecosystem so that the cyber-physical impact on transportation system can be measured. CIoV, which is abbreviated from Cognitive Internet of Vehicle, is one of the recently proposed architectures of the technological evolution in transportation, and it has amassed great attention. It introduces cloud-based artificial intelligence and machine learning into transportation system. What are the future expectations of CIoV? To fully contemplate this architecture’s future potentials, and milestones set to achieve, it is crucial to understand all the technologies that leaned into it. Also, the security issues to meet the security requirements of its practical implementation. Aiming to that, this paper presents the evolution of CIoV along with the layer abstractions to outline the distinctive functional parts of the proposed architecture. It also gives an investigation of the prime security and privacy issues associated with technological evolution to take measures.

scholarly journals Assessing Users’ Privacy and Security Concerns of Smart Home Technologies

i-com ◽  
2019 ◽  
Vol 18 (3) ◽  
pp. 197-216 ◽  
Author(s):  
Verena Zimmermann ◽  
Paul Gerber ◽  
Karola Marky ◽  
Leon Böck ◽  
Florian Kirchbuchner
Keyword(s):  
Smart Home ◽  
Elderly Care ◽  
Security And Privacy ◽  
Structured Interviews ◽  
Privacy And Security ◽  
Privacy Concerns ◽  
Private Lives ◽  
Societal Level ◽  
Home Users

AbstractSmart Home technologies have the potential to increase the quality of life, home security and facilitate elderly care. Therefore, they require access to a plethora of data about the users’ homes and private lives. Resulting security and privacy concerns form a relevant barrier to adopting this promising technology. Aiming to support end users’ informed decision-making through addressing the concerns we first conducted semi-structured interviews with 42 potential and little-experienced Smart Home users. Their diverse concerns were clustered into four themes that center around attacks on Smart Home data and devices, the perceived loss of control, the trade-off between functionality and security, and user-centric concerns as compared to concerns on a societal level. Second, we discuss measures to address the four themes from an interdisciplinary perspective. The paper concludes with recommendations for addressing user concerns and for supporting developers in designing user-centered Smart Home technologies.

scholarly journals Large-Scale Video Retrieval via Deep Local Convolutional Features

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Chen Zhang ◽  
Bin Hu ◽  
Yucong Suo ◽  
Zhiqiang Zou ◽  
Yimu Ji
Keyword(s):  
Large Scale ◽  
Video Retrieval ◽  
Video Data ◽  
Query Image ◽  
Key Frame Extraction ◽  
Key Frame ◽  
Storage Cost ◽  
Extraction Algorithm ◽  
Feature Aggregation ◽  
And Storage

In this paper, we study the challenge of image-to-video retrieval, which uses the query image to search relevant frames from a large collection of videos. A novel framework based on convolutional neural networks (CNNs) is proposed to perform large-scale video retrieval with low storage cost and high search efficiency. Our framework consists of the key-frame extraction algorithm and the feature aggregation strategy. Specifically, the key-frame extraction algorithm takes advantage of the clustering idea so that redundant information is removed in video data and storage cost is greatly reduced. The feature aggregation strategy adopts average pooling to encode deep local convolutional features followed by coarse-to-fine retrieval, which allows rapid retrieval in the large-scale video database. The results from extensive experiments on two publicly available datasets demonstrate that the proposed method achieves superior efficiency as well as accuracy over other state-of-the-art visual search methods.

Adoption of Mobile Commerce Technology

2012 ◽  
Vol 3 (2) ◽  
pp. 36-49 ◽  
Author(s):  
Emad Abu-Shanab ◽  
Osamah Ghaleb
Keyword(s):  
Technology Acceptance ◽  
Perceived Risk ◽  
Empirical Test ◽  
Mobile Commerce ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Security And Privacy ◽  
Privacy Concerns ◽  
Perceived Trust ◽  
The Impact

This research extended the Technology Acceptance Model (TAM) with perceived trust and perceived risks (security and privacy concerns) constructs to identify the impact of these factors on Jordanian users’ intentions to adopt mobile commerce (m-commerce). An empirical test was used utilizing 132 responses from students in two public universities in Jordan. Results indicated that perceived trust, perceived usefulness, and perceived ease of use are major influencers of mobile commerce adoption. On the other hand, perceived risk factors (security and privacy concerns) were not significant in this relation. Discussion, conclusion and future work are stated at the end of this paper.

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