The article I chose to summarize is “Cybersecurity for Cyber-Enabled Multimedia Applications” (Link: https://ieeexplore-ieee-org.ezaccess.libraries.psu.edu/document/8100676). I chose this article because I found it very interesting. This article discusses other articles about the security of multimedia. It looks at some proposals for security in these multimedia apps and is very interesting.
The article first looks at a proposal from Huining Li, Kun Wang, Xiulong Liu, Yanfei Sun, and Song Guo. This proposal was for a privacy protection method where encryption complexity to be selective to the systems resources and time limitations. This essentially means that encryption complexity would vary depending on time restraints or system resources restraints. This method was formulated in order to try and focus on privacy leakage issues in multimedia systems and come up with new solutions for it. According to the article, “Data is randomly divided into two parts and XOR operations are performed with a generated cipher key in different cloud storage servers to prevent users’ original information from being attacked by untrusted cloud operators. Extensive simulation results demonstrate the advantages and superiority of the proposed method over the prior schemes.” (IEEE, 2017).
The next proposal showcased by the article was Mobile Crowdsourcing (MCS). Researchers explored this as a solution due to the combination of advanced sensing technologies and human power and intelligence and how these two things could lead to a more secure platform. Most MCS schemes now however, are direct meaning that people each take their own tasks and work on them without cooperating with one another. This can hamper some time-constrained crowdsourced tasks. The article showcased in this section of the article is “Word of Mouth Mobile Crowdsourcing: Increasing Awareness of Physical, Cyber, and Social Interactions,” and is presented by Yufeng Wang, Wei Dai, Bo Zhang, Jianhua Ma, and Athanasios V. Vasilakos. This article explores the challenges and future of MCS. MCS has its challenges, but could also be a worthwhile solution to security in multimedia apps.
The next article showcased is “Flow Watermarking for Antinoise and Multistream Tracing in Anonymous Networks” by Ran Wang, Guangquan Xu, Bin Liu, Yan Cao, and Xiaohong Li. This article proposes an “interval-packet-size-based spread spectrum network flow watermark (IPS3).” This scheme would be able to solve noise interference and multi stream tracing in anonymous networks. The article states, “It tackles this issue by adjusting the carrier size in the process of watermarking modulation—that is, by taking the average packet size in a time interval as the watermarking carrier” (IEEE, 2017). Research shows that this IPS3 scheme outperforms traditional network flow watermarking technology.
The next article showcased is one about a child monitoring safety monitoring system. The article is titled, “ChildGuard: A Child-Safety Monitoring System” and was written by Zhigang Gao, Hongyi Guo, Yunfeng Xie, Yanjun Luo, Huijuan Lu, and Ke Yan. This system would be on mobile devices and would track children via mobile devices and would monitor the children in real time for parents to see them. This system has been shown to have higher positional accuracy than other systems of a similar nature.
The final article shown is titled, ” Crowdsensing Multimedia Data: Security and Privacy Issues” and was written by Yan Li, Young-Sik Jeong, Byeong-Seok Shin, and Jong Hyuk Park. The article talks about how using mobile devices, they can use crowdsensing to have normal people collectively gather and share multimedia data. Crowdsensing can also have its risks however. According to the article, ” Multimedia crowdsensing has made large-scale participatory sensing viable in a speedy and cost-efficient manner, but it also introduces security and privacy concerns. Personally identifiable information of participants can be exposed in the process of sharing individually owned sensor data.” The article showcased specifically looks at security and privacy issues in multimedia crowdsensing and describes existing solutions for this issue.
Overall this article compiled some very useful information from many other articles and was a very interesting read.