2023 Silicon Valley Cybersecurity Conference (SVCC)最新文献_第2页

SVCC 2023 Cover Page SVCC 2023封面

2023 Silicon Valley Cybersecurity Conference (SVCC) Pub Date : 2023-05-17 DOI: 10.1109/svcc56964.2023.10165582

引用次数: 0

HoneyContainer: Container-based Webshell Command Injection Defending and Backtracking HoneyContainer:基于容器的Webshell命令注入防御和回溯

2023 Silicon Valley Cybersecurity Conference (SVCC) Pub Date : 2023-05-17 DOI: 10.1109/SVCC56964.2023.10165511

Kuan-Chien Wang, Wei Cheng, J. Zhang, Minmin Sun, Kazuya Sakai, Wei-Shinn Ku

引用次数: 0

EGO-6: Enhancing Geofencing Security Systems with Optimal Deployment of 6G TRPs EGO-6:通过优化部署6G trp增强地理围栏安全系统

2023 Silicon Valley Cybersecurity Conference (SVCC) Pub Date : 2023-05-17 DOI: 10.1109/SVCC56964.2023.10165032

A. Famili, A. Stavrou, Haining Wang, J. Park

{"title":"EGO-6: Enhancing Geofencing Security Systems with Optimal Deployment of 6G TRPs","authors":"A. Famili, A. Stavrou, Haining Wang, J. Park","doi":"10.1109/SVCC56964.2023.10165032","DOIUrl":"https://doi.org/10.1109/SVCC56964.2023.10165032","url":null,"abstract":"Geofencing technologies enable the creation of virtual boundaries around specific locations to regulate actions within that area. These boundaries provide a flexible, yet secure way to control access, monitor activity, and enforce rules. A prime example is the use of geofencing to establish no-fly zones for drones, ensuring aviation safety. Geofencing can also be used in virtual environments, such as metaverse platforms, to restrict user access to specific rooms, enhancing security and management. In this article, we present EGO-6, an optimization framework for a geofencing system tracking users in indoor environments. EGO6 optimizes 6G transmission/reception point (TRP) deployment in three-dimensional spaces with its innovative technique. Using Evolutionary Algorithm (EA) advancements, EGO-6 calculates minimum 6G anchor requirements and their optimal placement to lower deployment costs and tracking errors. Solving this complex NP-Hard challenge which belongs to Mixed Integer Programming (MIP) problems, EGO-6 offers cost-efficient anchor configurations for improved indoor geofencing and user tracking with fewer deployed 6G TRPs.","PeriodicalId":243155,"journal":{"name":"2023 Silicon Valley Cybersecurity Conference (SVCC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129091084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Anomaly Detection in Embedded Devices Through Hardware Introspection 基于硬件自省的嵌入式设备异常检测

2023 Silicon Valley Cybersecurity Conference (SVCC) Pub Date : 2023-05-17 DOI: 10.1109/SVCC56964.2023.10165049

David Llanio Reyes, A. Perez-Pons, Rogelio Bofill Dean

{"title":"Anomaly Detection in Embedded Devices Through Hardware Introspection","authors":"David Llanio Reyes, A. Perez-Pons, Rogelio Bofill Dean","doi":"10.1109/SVCC56964.2023.10165049","DOIUrl":"https://doi.org/10.1109/SVCC56964.2023.10165049","url":null,"abstract":"The growth in the number of embedded devices within society has increased and continues to increase significantly throughout the world. The evolution of cyber-physical systems and their availability on the Internet of Things domain has made it possible to incorporate these devices in systems to provide environmental monitoring and status evaluation. The deployment of these devices requires high levels of security to protect their functionality. This includes detecting any potential impact on the devices’ integrity, as it can have a negative impact on its performance, functionality, and security. We propose a Hardware Introspection for Anomaly Detection (HIAD) framework that aims to detect abnormal device behavior through machine learning techniques employing processor-level hardware debugging capabilities. Through the JTAG (Joint Test Action Group) interface found in embedded devices, we can extract memory traces and utilize the extracted data to form image representations to train machine learning and deep learning models to detect anomalous execution. HIAD is a powerful tool that can monitor a bare-metal program’s execution while minimally impacting performance, and yielding effective identification of execution variations.","PeriodicalId":243155,"journal":{"name":"2023 Silicon Valley Cybersecurity Conference (SVCC)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129306620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Investigation and Countermeasure toward Unintentional Access to Docker Container

2023 Silicon Valley Cybersecurity Conference (SVCC) Pub Date : 2023-05-17 DOI: 10.1109/SVCC56964.2023.10165201

Yueyang Li, Luyi Li, Ruxue Luo, Yuzhen Chen, Arijet Sarker, Sang-Yoon Chang, Wenjun Fan

引用次数: 0

WebTracker: Real Webbrowsing Behaviors 网路搜寻家:真实的网路浏览行为

2023 Silicon Valley Cybersecurity Conference (SVCC) Pub Date : 2023-05-17 DOI: 10.1109/SVCC56964.2023.10164930

Daisy Reyes, Eno Dynowski, T. Chovan, John Mikos, Eric Chan-Tin, M. Abuhamad, S. Kennison

{"title":"WebTracker: Real Webbrowsing Behaviors","authors":"Daisy Reyes, Eno Dynowski, T. Chovan, John Mikos, Eric Chan-Tin, M. Abuhamad, S. Kennison","doi":"10.1109/SVCC56964.2023.10164930","DOIUrl":"https://doi.org/10.1109/SVCC56964.2023.10164930","url":null,"abstract":"With increased privacy concerns, anonymity tools such as VPNs and Tor have become popular. However, the packet metadata such as the packet size and number of packets can still be observed by an adversary. This is commonly known as fingerprinting and website fingerprinting attacks have received a lot of attention recently as a known victim’s website visits can be accurately predicted, deanonymizing that victim’s web usage. Most of the previous work have been performed in laboratory settings and have made two assumptions: 1) a victim visits one website at a time, and 2) the whole website visit with all the network packets can be observed. To validate these assumptions, a new private webbrowser extension called WebTracker is deployed with real users. WebTracker records the websites visited, when the website loading starts, and when the website loading finishes. Results show that users’ browsing patterns are different than what was previously assumed. Users may browse the web in a way that acts as a countermeasure against website fingerprinting due to multiple websites overlapping and downloading at the same time. Over 15% of websites overlap with at least one other website and each overlap was 66 seconds. Moreover, each overlap happens roughly 9 seconds after the first website download has started. Thus, this reinforces some previous work that the beginning of a website is more important than the end for a website fingerprinting attack.","PeriodicalId":243155,"journal":{"name":"2023 Silicon Valley Cybersecurity Conference (SVCC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125473437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0