Salcedo, Mathew David, Abid, Mehdi, Kim, Yoohwan, Jo, Ju-Yeon.
2022.
Evil-Twin Browsers: Using Open-Source Code to Clone Browsers for Malicious Purposes. 2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC). :0776—0784.
Browsers are one of the most widely used types of software around the world. This prevalence makes browsers a prime target for cyberattacks. To mitigate these threats, users can practice safe browsing habits and take advantage of the security features available to browsers. These protections, however, could be severely crippled if the browser itself were malicious. Presented in this paper is the concept of the evil-twin browser (ETB), a clone of a legitimate browser that looks and behaves identically to the original browser, but discreetly performs other tasks that harm a user's security. To better understand the concept of the evil-twin browser, a prototype ETB named ChroNe was developed. The creation and installation process of ChroN e is discussed in this paper. This paper also explores the motivation behind creating such a browser, examines existing relevant work, inspects the open-source codebase Chromium that assisted in ChroNe's development, and discusses relevant topics like ways to deliver an ETB, the capabilities of an ETB, and possible ways to defend against ETBs.
Black, Samuel, Kim, Yoohwan.
2022.
An Overview on Detection and Prevention of Application Layer DDoS Attacks. 2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC). :0791–0800.
Distributed Denial-of-Service (DDoS) attacks aim to cause downtime or a lack of responsiveness for web services. DDoS attacks targeting the application layer are amongst the hardest to catch as they generally appear legitimate at lower layers and attempt to take advantage of common application functionality or aspects of the HTTP protocol, rather than simply send large amounts of traffic like with volumetric flooding. Attacks can focus on functionality such as database operations, file retrieval, or just general backend code. In this paper, we examine common forms of application layer attacks, preventative and detection measures, and take a closer look specifically at HTTP Flooding attacks by the High Orbit Ion Cannon (HOIC) and “low and slow” attacks through slowloris.
Zadeh Nojoo Kambar, Mina Esmail, Esmaeilzadeh, Armin, Kim, Yoohwan, Taghva, Kazem.
2022.
A Survey on Mobile Malware Detection Methods using Machine Learning. 2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC). :0215–0221.
The prevalence of mobile devices (smartphones) along with the availability of high-speed internet access world-wide resulted in a wide variety of mobile applications that carry a large amount of confidential information. Although popular mobile operating systems such as iOS and Android constantly increase their defenses methods, data shows that the number of intrusions and attacks using mobile applications is rising continuously. Experts use techniques to detect malware before the malicious application gets installed, during the runtime or by the network traffic analysis. In this paper, we first present the information about different categories of mobile malware and threats; then, we classify the recent research methods on mobile malware traffic detection.