Trend Analysis of Malwares in Social Information Based Android Market

Hayoung Oh(오하영),EunHee Goo(구은희) 한국정보보호학회 2017 정보보호학회논문지 Vol.27 No.6

스마트폰의 사용 및 다양한 앱들의 출시 등이 급격하게 증가됨에 따라 악성 앱들도 많이 증가하였고 이로 인한 피해가 속출하고 있다. 안드로이드 앱들이 등록되는 구글 마켓은 앱 등록 규정이 있음에도 불구하고 정상적인 앱들과 악성 앱들이 불가피하게 동시에 존재한다. 특히, 소셜 네트워크가 활성화됨에 따라 안드로이드 구글 마켓에서도 다양한 형태로 보이지 않게 사용자들이 소셜 정보망을 맺고 평점, 다운로드 수 및 인지도 정보 등이 참고 되어 앱다운로드 수에 반영되고 있다. 결과, 일반 사용자들이 단순히 평점, 인기도, 인기 있는 댓글 및 인지도 높은 카테고리 앱 등만 반영하여 앱을 선택하게 되면 악성 앱 다운로드로 인해 때로는 큰 피해를 볼 수 있다. 따라서 본 연구는 실제 운용되고 있는 안드로이드 마켓에서 장기간 소셜 정보를 직접 크롤링하고 분석하여 악성 앱의 경향성을 처음으로 분석했다. As the use of smartphones and the launch of various apps have increased rapidly, the number of malicious apps has also increased, and the damage is continuing. The Google Market where Android apps are registered is inevitably present at the same time as normal apps and malicious apps even though there are regulations for app registration. Especially, as social networks are activated, users are connected with social networks, and the ratings, downloads and awareness information are reflected in the number of downloaded apps. As a result, when users choose their apps by simply reflecting ratings, popularity, popular comments, and highly-categorized apps, malicious app downloads can sometimes cause significant harm. Therefore, this study first analyzed the tendency of malicious apps by directly crawling and analyzing long-term social information in the currently active Android market.

Optimal Stochastic Policies in a network coding capable Ad Hoc Networks

( Hayoung Oh ) 한국인터넷정보학회 2014 KSII Transactions on Internet and Information Syst Vol.8 No.12

Network coding is a promising technology that increases system throughput by reducing the number of packet transmissions from the source node to the destination node in a saturated traffic scenario. Nevertheless, some packets can suffer from end-to-end delay, because of a queuing delay in an intermediate node waiting for other packets to be encoded with exclusive or (XOR). In this paper, we analyze the delay according to packet arrival rate and propose two network coding schemes, iXOR (Intelligent XOR) and oXOR (Optimal XOR) with Markov Decision Process (MDP). They reduce the average delay, even under an unsaturated traffic load, through the Holding-χ strategy. In particular, we are interested in the unsaturated network scenario. The unsaturated network is more practical because, in a real wireless network, nodes do not always have packets waiting to be sent. Through analysis and extensive simulations, we show that iXOR and oXOR are better than the Distributed Coordination Function (DCF) without XOR (the general forwarding scheme) and XOR with DCF with respect to average delay as well as delivery ratio.

A Robust Mobile Video Streaming in Heterogeneous Emerging Wireless Systems

( Hayoung Oh ) 한국인터넷정보학회 2012 KSII Transactions on Internet and Information Syst Vol.6 No.9

With the rapid development of heterogeneous emerging wireless technologies and numerous types of mobile devices, the need to support robust mobile video streaming based on the seamless handover in Future Internet is growing. To support the seamless handover, several IP-based mobility management protocols such as Mobile IPv6 (MIPv6), fast handover for the MIPv6 (FMIPv6), Hierarchical MIPv6 (HMIPv6) and Proxy Mobile IPv6 (PMIPv6) were developed. However, MIPv6 depreciates the Quality-of-Service (QoS) and FMIPv6 is not robust for the video services in heterogeneous emerging wireless networks when the Mobile Node (MN) may move to another visited network in contrast with its anticipation. In Future Internet, the possibility of mobile video service failure is more increased because mobile users consisting of multiple wireless network interfaces (WNICs) can frequently change the access networks according to their mobility in heterogeneous wireless access networks such as 3Generation (3G), Wireless Fidelity (Wi-Fi), Worldwide Interoperability for Microwave Access (WiMax) and Bluetooth co-existed. And in this environment, seamless mobility is coupled according to user preferences, enabling mobile users to be “Always Best Connected” (ABC) so that Quality of Experience is optimised and maintained. Even though HMIPv6 and PMIPv6 are proposed for the location management, handover latency enhancement, they still have limit of local mobility region. In this paper, we propose a robust mobile video streaming in Heterogeneous Emerging Wireless Systems. In the proposed scheme, the MN selects the best -according to an appropriate metric- wireless technology for a robust video streaming service among all wireless technologies by reducing the handover latency and initiation time when handover may fail. Through performance evaluation, we show that our scheme provides more robust mechanism than other schemes.

Stochastic policy-based wireless energy harvesting in green cognitive radio network

Oh, Hayoung,Ran, Rong SpringerOpen 2015 Eurasip Journal on Wireless Communications and Net Vol.2015 No.-

Practical Online Scheduling for Mobile Video Streaming on Smartphones

Hayoung Oh 한국산학기술학회 2013 SmartCR Vol.3 No.1

Mobile video streaming is the killer application for wireless networks. Mobile video traffic accounts for more than 50% of the total traffic on mobile networks and will grow 66-fold over a period of five years. In addition, watching videos over mobile devices such as smartphones and tablets has been attracting interest from users, and demand for mobile video streaming is increasing. However, existing wireless technologies (e.g., WiFi, WiMax, or LTE) cannot support this impending demand. And today’s mobile video streaming performance on wireless networks is choppy due to unpredictable wireless errors and mobility. To support seamless mobile video streaming, several approaches, such as new video codecs, multiple interfaces, metric techniques, novel multiplexing and network coding schemes, were developed. However, these approaches need client modification and did not consider multiple streams sharing the same medium, realistic scenarios and mobility. This paper proposes a practical online scheduling algorithm for mobile video streaming to multiple users with network coding capabilities. Implementation and analysis results show that this scheme closely approximates the optimal solution for both mobile video quality and throughput.

A Full-Duplex Relay Based Hybrid Transmission Mechanism for the MIMO-Capable Cooperative Intelligent Transport System

Oh, Hayoung,Ahn, Sanghyun Taylor & Francis 2015 INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWOR Vol.2015 No.-

Automated Security Management Using Data-Mining Techniques

Hayoung Oh 한국산학기술학회 2013 SmartCR Vol.3 No.3

Automated security management has been a critical but difficult issue in the field of network research. Among various artificial-intelligence techniques, traditional learning techniques based on supervision are not suitable for automated network management, particularly in terms of detecting temporal changes in network intrusion patterns and characteristics, because supervised learning requires a manager. In this regard, unsupervised learning techniques such as the self-organizing map (SOM) are more suitable for automated network management in terms of their configuration, performance, and anomaly detection capability. This paper proposes an automated security management system based on a hierarchical SOM that groups similar data and visualizes their clusters. The proposed system labels maps produced by the SOM based on correlations between features for automated network management. The experimental results for the proposed system based on the 1999 KDD Cup data set indicate that the system shows reasonable misclassification rates and takes 0.5 second to determine whether a behavior is a normal one or an attack.

Long Reach Optical Access Networks Design for the Minimum Total Cost of Light Trail Establishment and Electronic Processing

Hayoung Oh 한국산학기술학회 2014 SmartCR Vol.4 No.3

With the rapid development of access networking, long reach optical access networks have been labeled as the next generation in access networking. They eliminate the need for separate backhaul equipment. In this paper, we propose a long reach optical access network design for the minimum cost of establishing a light trail and electronic processing. Differing from previous schemes, we divide a flow requested between the source and destination into multiple sessions to reduce the needed number of light trails and electronic processing. To the best of our knowledge, this is the first time separating the traffic of long reach optical access networks has been proposed.

Network Coding-Based Mobile Video Streaming over Unreliable Wireless Links

Hayoung Oh,Chong-kwon Kim IEEE 2013 IEEE COMMUNICATIONS LETTERS Vol.17 No.2

<P>Today's mobile video streaming performance on wireless networks is choppy due to the unpredictable wireless errors and mobility. In this Letter, we propose a practical online scheduling algorithm for mobile video streaming to multiple users with network coding capabilities. Implementation and analysis results show that our scheme closely approximates the optimal solution both mobile video quality and throughput.</P>

POMDP Based Trustworthy Android App Recommendation Services

Hayoung Oh(오하영),EunHee Goo(구은희) 한국정보보호학회 2017 정보보호학회논문지 Vol.27 No.6

스마트폰의 사용 및 다양한 앱 들의 출시 등이 기하급수적으로 증가되면서 악성 앱 또한 동시에 증가됐다. 기존의 앱 추천 시스템들은 온라인상에서 보이는 다른 사용자들의 평점, 댓글 및 인기 카테고리 등의 정적인 정보 분석을 기반으로만 동작한다는 한계가 있었다. 본 논문에서는 처음으로 스마트폰에서 실제로 사용되는 앱의 동적인 정보들을 현실적으로 사용하여 정적인 정보와 동적인 정보를 동시에 고려하는 견고한 앱 추천 시스템을 제안한다. 즉, 본 논문에서는 앱의 사용되는 시간, 앱의 사용 빈도수 및 앱과 앱 간의 상호 작용과 안드로이드 커널과의 접촉 횟수 등을 측정 가능한 수준에서 부분적으로 반영하여 견고한 안드로이드 앱 추천 시스템을 제안한다. 성능평가 결과 제안하는 기법이 견고하고 효율적인 앱 추천 시스템임을 증명했다. The use of smartphones and the launch of various apps have increased exponentially, and malicious apps have also increased. Existing app recommendation systems have been limited to operate based on static information analysis such as ratings, comments, and popularity categories of other users who are online. In this paper, we first propose a robust app recommendation system that realistically uses dynamic information of apps actually used in smartphone and considers static information and dynamic information at the same time. In other words, this paper proposes a robust Android app recommendation system by partially reflecting the time of the app, the frequency of use of the app, the interaction between the app and the app, and the number of contact with the Android kernel. As a result of the performance evaluation, the proposed method proved to be a robust and efficient app recommendation system.