The world is moving to digitalization and intelligentization for the long term. We are at an important point in this evolution, as new forces emerge and combine to create new ways for cities to work. For instance, insights from information transfer across platforms can be exploited to reduce accidents, improve air quality, and alert disaster events. Cyber-physical systems (CPS) also bring new risks that arise due to the unexpected interaction within city services. These safety risks arise because of information that distracts users while driving, software errors in medical devices, corner cases in data-driven control, compromised sensors in drones or conflicts in societal policies. In parallel, artificial intelligence flourishes the development of cities, revolutionizing the way that public services are interacted with citizens. The data that drives the smarter city must be secure, to safely fuel unhindered progress.
The IEEE Workshop on Smart City Security and Privacy seeks to bring together researchers and practitioners to share their perspectives and solutions as well as deliberate on opportunities & challenges associated in the most recent synergistic Internet of Things and security and privacy. The primary objective of the “Smart City” is to improve citizens’ quality of life by providing core infrastructure – assured electricity supply, adequate and assured water supply, smart home appliance control, efficient mobility and public transportation, smart car design or conflicts, secure medical devices, digital health & online education, etc. The workshop welcomes contributions that integrate computer networking and software systems provided by disparate stakeholders, particularly those that have humans in the loop. As safety is inherently linked with the security and privacy, we also seek contributions in these areas that address safety concerns. We seek to develop a community that systematically dissects the vulnerabilities and risks exposed by these emerging cyber-physical systems, and create tools, algorithms, frameworks and systems that help in the development of safe smart cities.
These last 10 years, mobile devices, such as smart phones, have spread at an exponential rate. The most used system running on these devices, accounting for almost 80% of market share for smart phones world-wide, is the Android software stack. The success of Android and the millions of users downloading every days millions of Android apps make Android a prime target for malware writers. In this talk, I explore 8 years of work aiming at making Android Apps safer and more reliable. First, I present the premise of our research work in developing Android app analysers in a time where Dalvik bytecode was still an obstacle. Second, I share our expertise in building a large Android app dataset such as AndroZoo. On top of this dataset, I present several research works covering (1) Android Malware detection by leveraging Machine Learning techniques, (2) Malware Labelling for creating better ground truth, and (3) Android App mining to understand usage trends and app dev issues.
| 24 February, 2019 | |
| 14:00 - 15:30 | Session I
Opening Keynote (1 hour): A journey into Android App Analysis. Jacques Klein A Mobile Application for Tree Classification and Canopy Calculation using Machine Learning (20 mins) Richard Sinnott, Ruixi Huo, Kangyi Wang, and Yunjie Jia. |
| 15:30 - 16:00 | Coffee Break |
| 16:00 - 17:30 | Session II
A Mobile Application for Cat Detection and Breed Recognition Based on Deep Learning. (20 mins) Xiaolu Zhang, Luyang Yang, and Richard Sinnott. Automated Cross-Platform GUI Code Generation for Mobile Apps. (20 mins) Sen Chen, Lingling Fan, Ting Su, Lei Ma, Yang Liu, and Lihua Xu. Adversarial Attacks on Mobile Malware Detection. (20 mins) Maryam Shahpasand, Len Hamey, Dinusha Vatsalan, and Jason Xue. How Can We Craft Large-Scale Android Malware? An Automated Poisoning Attack. (20 mins) Sen Chen, Minhui Xue, Lingling Fan, Lei Ma, Yang Liu, and Lihua Xu. |
The workshop covers security and privacy as well as safety topics as it relates to an individual’s health (physical, mental), the society (air pollution, toxicity, disaster events), or the environment (species preservation, global warming, oil spills), mainly from a human perspective. Our workshop will cover, but not limit itself to, the following domains: autonomous vehicles and transportation infrastructure; medical CPS and public health; smart buildings, smart grid and smart cities.
Areas of interest include but are not restricted to:
If you would like to share a provocative opinion, an interesting preliminary work, or a cool idea that will spark discussion about smart city security and privacy, the poster and demo section is a perfect venue to introduce new or ongoing work. Poster and demo presenters will have the opportunity to discuss their work, get exposure, and receive feedback from attendees.
Papers must be submitted via EDAS in the following link: https://easychair.org/my/conference?conf=scsp2019
Submitted papers must be unpublished and must not be currently under review for any other publication. Submissions for full papers must be at most 6 single-spaced, double column printed pages, including all the figures, references and appendices, and not published or under review elsewhere. Submissions for Posters and Demos must be at most 1 printed page and also follow the standard IEEE Conference templates for Microsoft Word or LaTeX formats found at: https://www.ieee.org/conferences/publishing/templates.html. More information and template downloads can be found at the IEEE MASS main page.
Paper reviewing is single-blind and submissions should list author names on the front page. Papers that do not meet the size and formatting requirements will not be reviewed. All papers must be in Adobe Portable Document Format (PDF) and submitted through the web submission form.
Authors can submit Two types of papers:
Paper submission deadline: September 16, 2019, 23:59 AOE
Notification of acceptance: October 4, 2019, 23:59 AOE
Camera-ready version deadline: October 15, 2019, 23:59 AOE
Workshop day: November 4, 2019
