Abstract:WhatsApp is a popular messaging app used by over a billion users around the globe. Due to this popularity, understanding misbehavior on WhatsApp is an important issue. The sending of unwanted junk messages by unknown contacts via WhatsApp remains understudied by researchers, in part because of the end-to-end encryption offered by the platform. We address this gap by studying junk messaging on a multilingual dataset of 2.6M messages sent to 5K public WhatsApp groups in India. We characterise both junk content a… Show more
“…From An Efficient Encryption Algorithm for Perfect Forward Secrecy in Satellite Communication [2]by Abid Murtaza, Syed Jahanzeb Hussain Pirzada informs us that the reason why WhatsApp stands out among other apps is due to its efficient path to lower the runtime while maintaining the complexity of the algorithm such that the adversary is not able to hack into the system. This is also proven by the paper WhatsApp Encryption Said to Stymie Wiretap Order [3] by Matt Apuzzo more objectively on how WhatsApp takes its place to become one "stymie wiretap order" in addition to Jettisoning Junk Messenginng in the Era of End-to-End Encryption: A Case Study of WhatsApp" [4]where Pushkal Agarwal and other authors supporting the idea with a case study of the app. Back to back with its rivalry, Midas Nouwes, Carla f. Griggio, and Wendy E.Mackay tell us in the paper"WhatsApp is for family; Messenger is for friends": Communication Places in App Ecosystems [5], that each app has its own target of the customers ad it is not only the features that stand out but the way they choose to secure the communication that decides the design of the app.…”
Ever since the invention and massive implementation of telecommunication invited themselves during wartime, it is crucial to keep the message as secret as possible from adversaries. Back in time, the leak of messages meant thousands of potential casualties whereas now enormous costs on fortune and confidential secrets. In this paper, we will dive into the comparison of modern communication apps such as WhatsApp, Messengers, and WeChat with their encryption methods including AES encryption and RSA encryption. Then, we build a front-to-end message app using the RSA encryption method and an easy version of a random number generator to increase the security level. We will discuss the utility of the three apps and their complexity in terms of the input, algorithm, and pros and cons of the features they provide objectively to the average consumer, regardless of occupation or special personalized need. In addition, throughout the studies of the three apps and their flow of design on how to keep the consumers safe during their sharing of messages, we will discover a trend of evolution in how the society treats the idea of information security and what improvements can be done from time to time.
“…From An Efficient Encryption Algorithm for Perfect Forward Secrecy in Satellite Communication [2]by Abid Murtaza, Syed Jahanzeb Hussain Pirzada informs us that the reason why WhatsApp stands out among other apps is due to its efficient path to lower the runtime while maintaining the complexity of the algorithm such that the adversary is not able to hack into the system. This is also proven by the paper WhatsApp Encryption Said to Stymie Wiretap Order [3] by Matt Apuzzo more objectively on how WhatsApp takes its place to become one "stymie wiretap order" in addition to Jettisoning Junk Messenginng in the Era of End-to-End Encryption: A Case Study of WhatsApp" [4]where Pushkal Agarwal and other authors supporting the idea with a case study of the app. Back to back with its rivalry, Midas Nouwes, Carla f. Griggio, and Wendy E.Mackay tell us in the paper"WhatsApp is for family; Messenger is for friends": Communication Places in App Ecosystems [5], that each app has its own target of the customers ad it is not only the features that stand out but the way they choose to secure the communication that decides the design of the app.…”
Ever since the invention and massive implementation of telecommunication invited themselves during wartime, it is crucial to keep the message as secret as possible from adversaries. Back in time, the leak of messages meant thousands of potential casualties whereas now enormous costs on fortune and confidential secrets. In this paper, we will dive into the comparison of modern communication apps such as WhatsApp, Messengers, and WeChat with their encryption methods including AES encryption and RSA encryption. Then, we build a front-to-end message app using the RSA encryption method and an easy version of a random number generator to increase the security level. We will discuss the utility of the three apps and their complexity in terms of the input, algorithm, and pros and cons of the features they provide objectively to the average consumer, regardless of occupation or special personalized need. In addition, throughout the studies of the three apps and their flow of design on how to keep the consumers safe during their sharing of messages, we will discover a trend of evolution in how the society treats the idea of information security and what improvements can be done from time to time.
“…AI/ML via general crypto or MPC [34,76,155,198,284,315,323,370,383] (total: 9) AI/ML or matching fully clientside [4,86,128,138,207,214,352,366,377] (total: 9) Metadata-based [58,176,262,368,384] (total: 5) Other [269,329,351] (total: 3)…”
Section: Spam Filteringmentioning
confidence: 99%
“…3 Peers and super-peers learn reported messages. 4 Extremely small sample size. 5 Reveals telephone number.…”
Section: Problem Context Affects Choice Of Detection and Response Mec...mentioning
Popular messaging applications now enable end-to-end-encryption (E2EE) by default, and E2EE data storage is becoming common. These important advances for security and privacy create new content moderation challenges for online services, because services can no longer directly access plaintext content. While ongoing public policy debates about E2EE and content moderation in the United States and European Union emphasize child sexual abuse material and misinformation in messaging and storage, we identify and synthesize a wealth of scholarship that goes far beyond those topics. We bridge literature that is diverse in both content moderation subject matter, such as malware, spam, hate speech, terrorist content, and enterprise policy compliance, as well as intended deployments, including not only privacy-preserving content moderation for messaging, email, and cloud storage, but also private introspection of encrypted web traffic by middleboxes. In this work, we systematize the study of content moderation in E2EE settings. We set out a process pipeline for content moderation, drawing on a broad interdisciplinary literature that is not specific to E2EE. We examine cryptography and policy design choices at all stages of this pipeline, and we suggest areas of future research to fill gaps in literature and better understand possible paths forward.
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