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相关论文: An Empirical Analysis of SMS Scam Detection System…

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Short Message Service (SMS) spam is a serious problem in Vietnam because of the availability of very cheap pre-paid SMS packages. There are some systems to detect and filter spam messages for English, most of which use machine learning…

计算与语言 · 计算机科学 2017-05-12 Thai-Hoang Pham , Phuong Le-Hong

Smishing (SMS phishing) has become a serious cybersecurity threat, especially for elderly and cyber-unaware individuals, causing financial loss and undermining user trust. Although prior work has focused on detecting smishing at the level…

密码学与安全 · 计算机科学 2026-04-14 Carl Lochstampfor , Ayan Roy

There is an increase in global malware threats. To address this, an encryption-type ransomware has been introduced on the Android operating system. The challenges associated with malicious threats in phone use have become a pressing issue…

密码学与安全 · 计算机科学 2025-10-30 Parick Ozoh , John K Omoniyi , Bukola Ibitoye

Short Message Service (SMS) is a very popular service used for communication by mobile users. However, this popular service can be abused by executing illegal activities and influencing security risks. Nowadays, many automatic machine…

机器学习 · 计算机科学 2021-06-29 Waddah Saeed

Malicious calls, i.e., telephony spams and scams, have been a long-standing challenging issue that causes billions of dollars of annual financial loss worldwide. This work presents the first machine learning-based solution without relying…

密码学与安全 · 计算机科学 2018-05-30 Huichen Li , Xiaojun Xu , Chang Liu , Teng Ren , Kun Wu , Xuezhi Cao , Weinan Zhang , Yong Yu , Dawn Song

Short Message Service (SMS) is a popular channel for online service providers to verify accounts and authenticate users registered to a particular service. Specialized applications, called Public SMS Gateways (PSGs), offer free Disposable…

密码学与安全 · 计算机科学 2024-08-27 José Miguel Moreno , Srdjan Matic , Narseo Vallina-Rodriguez , Juan Tapiador

In This paper we present a novel approach to spam filtering and demonstrate its applicability with respect to SMS messages. Our approach requires minimum features engineering and a small set of la- belled data samples. Features are…

计算与语言 · 计算机科学 2016-06-20 Noura Al Moubayed , Toby Breckon , Peter Matthews , A. Stephen McGough

The increasing threat of SMS spam, driven by evolving adversarial techniques and concept drift, calls for more robust and adaptive detection methods. In this paper, we evaluate the potential of large language models (LLMs), both open-source…

密码学与安全 · 计算机科学 2025-01-10 Muhammad Salman , Muhammad Ikram , Nardine Basta , Mohamed Ali Kaafar

Social Media Site (SMS) usage has grown rapidly in the last few years. This sudden increase in SMS usage creates an opportunity for data leakage which could compromise personal and/or professional life. In this work, we have reviewed…

社会与信息网络 · 计算机科学 2014-09-11 Sabarathinam Chockalingam , Harjinder Singh Lallie

Emails and SMSs are the most popular tools in today communications, and as the increase of emails and SMSs users are increase, the number of spams is also increases. Spam is any kind of unwanted, unsolicited digital communication that gets…

密码学与安全 · 计算机科学 2024-09-02 Thaer Sahmoud , Mohammad Mikki

Can we trust Large Language Models (LLMs) to accurately predict scam? This paper investigates the vulnerabilities of LLMs when facing adversarial scam messages for the task of scam detection. We addressed this issue by creating a…

The increase in global cellphone usage has led to a spike in instant messaging scams, causing extensive socio-economic damage with yearly losses exceeding half a trillion US dollars. These scams pose a challenge to the integrity of justice…

人机交互 · 计算机科学 2024-12-19 Xue Wen Tan , Kenneth See , Stanley Kok

Phone scams pose a significant threat to individuals and communities, causing substantial financial losses and emotional distress. Despite ongoing efforts to combat these scams, scammers continue to adapt and refine their tactics, making it…

密码学与安全 · 计算机科学 2024-10-18 Zitong Shen , Kangzhong Wang , Youqian Zhang , Grace Ngai , Eugene Y. Fu

The Internet is used by billions of users every day because it offers fast and free communication tools and platforms. Nevertheless, with this significant increase in usage, huge amounts of spam are generated every second, which wastes…

密码学与安全 · 计算机科学 2023-12-05 Omar Husni Odeh , Anas Arram , Murad Njoum

Nowadays, with the rise of Internet access and mobile devices around the globe, more people are using social networks for collaboration and receiving real-time information. Twitter, the microblogging that is becoming a critical source of…

密码学与安全 · 计算机科学 2020-12-02 Sepideh Bazzaz Abkenar , Mostafa Haghi Kashani , Mohammad Akbari , Ebrahim Mahdipour

The battle between email service providers and senders of mass unsolicited emails (Spam) continues to gain traction. Vast numbers of Spam emails are sent mainly from automatic botnets distributed over the world. One method for mitigating…

密码学与安全 · 计算机科学 2012-05-08 Eitan Menahem , Rami Puzis

Online romance scams are a prevalent form of mass-marketing fraud in the West, and yet few studies have addressed the technical or data-driven responses to this problem. In this type of scam, fraudsters craft fake profiles and manually…

密码学与安全 · 计算机科学 2019-05-31 Guillermo Suarez-Tangil , Matthew Edwards , Claudia Peersman , Gianluca Stringhini , Awais Rashid , Monica Whitty

The short message service (SMS) is a service for exchanging texts via mobile networks that has been developed not only as a means of text communication between subscribers but also as a means to remotely manage Internet of Things (IoT)…

密码学与安全 · 计算机科学 2024-09-17 Akaki Tsunoda

Digital service providers often prioritize a frictionless user experience by adopting technologies that simplify access to their services. One widely used mechanism is the Short Message Service (SMS) to deliver links (URLs) that enable…

Large Language Models (LLMs) have gained prominence in various applications, including security. This paper explores the utility of LLMs in scam detection, a critical aspect of cybersecurity. Unlike traditional applications, we propose a…

密码学与安全 · 计算机科学 2024-02-06 Liming Jiang