The computer for the 21st century: present security &amp; privacy challenges

Oliveira, Leonardo B.; Pereira, Fernando Magno Quintão; Misoczki, Rafael; Aranha, Diego F.; Borges, Fábio; Nogueira, Michele; Wangham, Michelle S.; Wu, Min; Liu, Jie

doi:10.1186/s13174-018-0095-2

Cited by 10 publications

(4 citation statements)

References 158 publications

(182 reference statements)

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“…We also analyze the advance of Ubicomp regarding what is a reality now and what is still very difficult to implement. To do that, we read and discuss some newest papers such as Caceres and Friday (2012);Oliveira et al (2018). Context-awareness and system adaptation.…”

Section: Teaching Ubiquitous Computing: Experience Reported In Our Unmentioning

confidence: 99%

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Teaching Ubiquitous Computing Using Simulations Based on Smartphone Sensors

Peixoto¹,

Duarte²,

Araújo³

et al. 2020

Informatics in Education

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Mark Weiser coined the term Ubiquitous Computing (UbiComp) describing a future in which everyday life-objects would have embedded computers providing services anytime and anywhere. This paradigm is theme recurrent in many graduate courses of Computer Science around the world. To better understand the challenge of teaching Ubiquitous Computing (Ubi-Comp), we surveyed 15 professors and 60 graduate and undergraduate students from 16 universities. According to this survey, the two most challenging Ubicomp concepts to explain in a lecture are context-awareness and middleware platforms. Results also showed professors' difficulty in finding tools to assist the practical teaching of UbiComp's concepts. Current UbiComp tools require high programming skills or they are not designed for educational purposes. Therefore, this work presents the design, development, and evaluation of LUCy (Learning Ubiquitous Computing Easily), a Virtual Learning Environment which aids UbiComp practical classes. LUCy has two main elements: a Web tool and an Android mobile app. The former provides UbiComp theory materials, videos, practices, and simulations. The latter uses smartphones features and sensors to run simulations of UbiComp concepts. We evaluated LUCy during Context-Awareness classes in UbiComp courses, at the same university, along with three distinct semesters. In different three sessions, we gathered information about LUCy's pedagogical and usability issues. Then, we performed a quasi-experiment using a pretest and posttest design methodology with twentyseven students. Results showed LUCy practices significantly improves students reasoning about Context-Aware concepts.

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Section: Teaching Ubiquitous Computing: Experience Reported In Our Unmentioning

confidence: 99%

“…IBM created the term Pervasive Computing in 1998 and claimed a world fulfilled with computing services accessible anywhere and anytime. At its beginning, Pervasive Computing was more related to smart spaces and mobile computing scenarios(Nieuwdorp, 2007). Nowadays, it is more challenging to identify a clear border separating these two concepts.…”

mentioning

confidence: 99%

Teaching Ubiquitous Computing Using Simulations Based on Smartphone Sensors

Peixoto¹,

Duarte²,

Araújo³

et al. 2020

Informatics in Education

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show abstract

“…Secure Internet-based communications rely on public-key cryptography, which allows entities to communicate without the need for sharing confidential material in advance. Elliptic curve cryptography (ECC), proposed in 1985, is still a predominant type of publickey cryptography [1]. ECC is commonly used for encrypted emails, online banking, secure e-commerce websites, digital signatures, and other data transfer applications where the size of the storage space for public keys is an issue.…”

Section: Introductionmentioning

confidence: 99%

Efficient Elliptic Curve Operators for Jacobian Coordinates

2022

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The speed up of group operations on elliptic curves is proposed using a new type of projective coordinate representation. These operations are the most common computations in key exchange and encryption for both current and postquantum technology. The boost this improvement brings to computational efficiency impacts not only encryption efforts but also attacks. For maintaining security, the community needs to take note of this development as it may need to operate changes in the key size of various algorithms. Our proposed projective representation can be viewed as a warp on the Jacobian projective coordinates, or as a new operation replacing the addition in a Jacobian projective representation, basically yielding a new group with the same algebra elements and homomorphic to it. Efficient algorithms are introduced for computing the expression Pk+Q where P and Q are points on the curve and k is an integer. They exploit optimized versions for particular k values. Measurements of the numbers of basic computer instructions needed for operations based on the new representation show clear improvements. The experiments are based on benchmarks selected using standard NIST elliptic curves.

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“…The ubiquitous nature of the IoT, however, brings forth a series of security concerns 4 . In this scenario, computing elements are ubiquitous and track every aspect of users' daily routines.…”

Section: Introductionmentioning

confidence: 99%

Internet of Things device authentication via electromagnetic fingerprints

Souza

Carlson

Ramos

et al. 2020

Engineering Reports

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We quickly approach a future where Internet of Things (IoT) devices are the norm. In this scenario, humans are surrounded by a multitude of heterogeneous devices that assist them in almost every aspect of their daily routines. The realization of this future demands strong authentication guarantees to ensure that these devices are not abused and that their users are not endangered. However, providing authentication for these systems is challenging due to the high heterogeneity of IoT applications. In this paper, we first review several IoT application scenarios and promising authentication methods for each. We identify th e key characteristics of each IoT application scenario, present the strengths and weaknesses of prominent authentication methods from the literature, and review which authentication methods have been proposed in the literature for each application. Then, we present a novel authentication method for IoT based on electromagnetic noise. The key advantage of electromagnetic noise is that any electronic device intrinsically generates electromagnetic noise during normal operation. We extract features from these electromagnetic emanations and use machine learning algorithms to identify devices based on these features. Our method achieves 77% accuracy when identifying devices among a set of seven devices.

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The computer for the 21st century: present security & privacy challenges

Cited by 10 publications

References 158 publications

Teaching Ubiquitous Computing Using Simulations Based on Smartphone Sensors

Teaching Ubiquitous Computing Using Simulations Based on Smartphone Sensors

Efficient Elliptic Curve Operators for Jacobian Coordinates

Internet of Things device authentication via electromagnetic fingerprints

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