HITCON Community 2023 - Village 攤位資訊釋出！

HITCON Community 2023 - Village 攤位資訊釋出！ 

HITCON Community 2023 - Village Booth Information Released!

 

🤚什麼是 Village？

Village 為國外研討會引進的概念，透過多元的方式（例如：Talks、CTFs、Labs）呈現單一主題，帶領會眾一同窺看特定資安議題，過往出現過的主題有：Vote Hacking Village、Social Engineering Village、5G Village 等。

🤚 What is a Village? A Village is a concept introduced from international conferences. It presents a single theme through various means such as Talks, CTFs, and Labs, allowing participants to explore specific cybersecurity topics together. Past themes have included Vote Hacking Village, Social Engineering Village, 5G Village, and more.

🤚Village 跟社群攤位有什麼差別？

Village 攤位的舉辦單位可以是特定社群、實驗室或針對特定主題的研究單位，核心則是放在「單一主題」唷！為了要構思 Village 的內容與活動勢必是需要花費心力，就讓我們一起為這些主辦單位加油，記得可以到攤位上一起享受活動🎉

社群攤位則是以「社群」為主體，其中包含招募社員、宣傳社團，也可能會有各自的有趣小活動！如果想要了解各個社群主要活動，歡迎到社群攤位一逛🥳

🤚 What's the difference between a Village and a Community Booth? Village booths are organized by specific communities, laboratories, or research units focused on a particular theme. The emphasis is on a "single theme." Creating content and activities for a Village requires significant effort, so let's support these organizers and enjoy the activities at their booths together 🎉 Community booths, on the other hand, are centered around "community" and may involve recruiting members, promoting groups, and hosting fun activities. If you want to learn about the main activities of various communities, feel free to visit the community booths 🥳

HITCON CMT 2023 Village 攤位

「Penetration Village」by CURA (CyberSecurity Unions Research Association)

CURA (CyberSecurity Unions Research Association)，是由原臺灣科技大學資訊安全研究社衍生出的資訊安全社群。 成立宗旨旨在串聯全臺灣學術與業界社群的力量推廣資訊安全，為全臺灣的學生與社會人士提供學習與交流資訊安全的社群。我們會定期邀請講師講授資訊安全相關課程，歡迎任何有興趣學習資訊安全的人士參與我們的課程。 CURA (CyberSecurity Unions Research Association) is an information security community derived from the former National Taiwan University of Science and Technology Information Security Research Association. The purpose of its establishment is to connect the strengths of academic and industry communities across Taiwan to promote information security, and to provide a community for students and people in Taiwan to learn and communicate about information security. We regularly invite lecturers to teach information security-related courses, and welcome anyone who is interested in learning information security to participate in our courses.

「IoT security Village」by TDOHacker - TDOH

TDOHacker 全名為 "The Declaration Of Hacker"，簡稱 TDOH 或 TDOHacker，成立於 2013 年，一直致力於打造資安圈的冒險者公會。該組織的核心使命是建立一個資訊安全領域的社群，鼓勵並激發學員對資訊安全的學習熱情。 為了讓學員在學習資訊安全時保持動力，TDOH 推出了獎勵機制社群。透過這個獎勵機制，鼓勵學員持續進步，並解決學習資安可能遇到的一些挑戰，例如缺乏相應的設備或環境。TDOH 積極與多個協會達成合作，包括台灣資安產業發展協會、社團法人台灣資訊安全協會、台灣數位安全聯盟、博格企業資安讀書會等，這些合作夥伴將協助學員克服在學習資安方面可能遇到的困難。 TDOHacker 不僅提供學習機會，更希望透過冒險者公會的概念，凝聚資安愛好者的力量，共同推進資訊安全領域的發展。透過獎勵機制和與協會的合作，TDOH 致力於讓學員獲得更好的學習體驗，並在資安的路上不斷成長進步。 TDOHacker, which stands for "The Declaration Of Hacker," or simply TDOH, was established in 2013 and has been dedicated to creating an adventurer's guild in the cybersecurity community. The organization's core mission is to build a community in the field of information security, encouraging and inspiring students' passion for learning about cybersecurity. To keep students motivated in their cybersecurity learning journey, TDOH launched a rewarding mechanism within its community. Through this incentive system, students are encouraged to make continuous progress and overcome challenges they may encounter in their cybersecurity studies, such as a lack of necessary equipment or suitable environments. TDOH actively collaborates with several associations, including the Taiwan Cyber Security Industry Development Association, the Taiwan Information Security Association, TWCSA, Borg, and others. These collaborative partners assist students in overcoming difficulties they may face in their cybersecurity education. TDOHacker not only provides learning opportunities but also aims to harness the power of cybersecurity enthusiasts through the concept of an adventurer's guild, jointly advancing the development of the information security field. Through the rewarding mechanism and collaborations with associations, TDOH is committed to providing students with an enhanced learning experience and supporting their continuous growth and progress on the path of cybersecurity.

「Social Engineering Village」by HITCON GIRLS

HITCON GIRLS 是以女性為主的資安社群。希望聚集對資安感興趣、願意深入學習的女性，共同加入團隊探討知識與技術，推廣「大家都能學習資安！」的理念。 HITCON GIRLS is an all-female information security community. To propagate the idea of “Everyone can learn about information security!”, we aim to gather all the women who are interested and willing to take a deep dive into the knowledge and techniques to join the community.

「5G Village」by ConnLab , NTUST

針對5G專網的連線劫持攻擊 Session hijack on 5G dedicated network - 5G Village

國立台灣科技大學資工系鄭欣明老師的連結性實驗室，簡稱為 ConnLab。目前專注於資訊安全方面, 對於在 5G, IoT, AI 等主題都有不少的研究成果。 Connectivity Lab (ConnLab) led by Pof. Shin-Ming Cheng from National Taiwan University of Science and Technology. While currently focused on cybersecurity, they also studied on topics such as 5G, IoT and AI.

「Deepfake Village」by Deepfake Detection with Faceless Lab

At our booth, we will showcase the latest advancements in deepfake detection with a focus on a cutting-edge technique called "Faceless." Deepfake technology has become increasingly sophisticated, posing significant risks to individuals, businesses, and society as a whole. Our booth aims to raise awareness about the potential dangers of deepfakes and provide attendees with insights into how they can protect themselves.

The booth activities will include:

• Introduction to Deepfake Technology: We will provide an overview of deepfake technology, explaining how it works and highlighting its potential negative implications. This will help attendees understand the importance of deepfake detection and the need for effective countermeasures.
• Live Deepfake Demonstrations: We will showcase live deepfake demonstrations to illustrate how convincingly synthetic media can be generated. These demonstrations will feature examples of deepfake videos and images, emphasizing the difficulty of distinguishing them from genuine content.
• Faceless Detection Technique: We will introduce our innovative deepfake detection approach called "Faceless." This technique utilizes advanced machine learning algorithms and focuses on analyzing contextual information and inconsistencies beyond facial features alone. We will explain the methodology behind Faceless and discuss its advantages over traditional detection methods.
• Comparative Analysis: Through informative displays and presentations, we will provide a comparative analysis of Faceless with existing deepfake detection methods. We will highlight the strengths and limitations of different techniques, emphasizing the superior accuracy and robustness of Faceless in identifying deepfake content.
• Interactive Workshops: We will host interactive workshops to engage attendees in hands-on activities related to deepfake detection. Participants will have the opportunity to use detection tools and software developed based on the Faceless approach. These workshops will provide practical experience and insights into the challenges faced in detecting deepfakes.
• Panel Discussions and Q&A Sessions: We will organize panel discussions featuring experts in deepfake detection and cybersecurity. Attendees will have the chance to ask questions, discuss emerging trends, and explore the ethical implications associated with deepfake technology. These sessions will encourage knowledge-sharing and provide a platform for in-depth discussions.
• Resources and Takeaways: We will offer informational brochures, fact sheets, and reference materials to help attendees further their understanding of deepfake detection. Additionally, we will provide recommendations on best practices for individuals and organizations to protect themselves against deepfake threats.

Our booth will serve as an educational and interactive platform, empowering attendees to recognize and combat the dangers of deepfakes. By highlighting the effectiveness of the Faceless technique and promoting awareness of deepfake detection methods, we aim to foster a more resilient and informed cybersecurity community.