Xbox 360 Hoaxes, Social Engineering, and Gamertag Exploits

Podhradsky, Ashley L.; D'Ovidio, Rob; Engebretson, Pat; Casey, Cindy

doi:10.1109/hicss.2013.633

Cited by 4 publications

(4 citation statements)

References 2 publications

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“…Jamming communications have been used in virtual game worlds. Podhradsky et al 22 found multiplayer games in consoles can be hacked to provide access to a user's IP address. Would-be deceivers who gain access to the host can kick the player out and proceed with identity-theft deception.…”

Section: Challengesmentioning

confidence: 99%

Online deception in social media

2014

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A S E D technologies has revolutionized the way content is generated and exchanged through the Internet, leading to proliferation of social-media applications and services. Social media enable creation and exchange of user-generated content and design of a range of Internet-based applications. This growth is fueled not only by more services but also by the rate of their adoption by users. From 2005 to 2013, users and developers alike saw a 64% increase in the number of people using social media; 1 for instance, Twitter use increased 10% from 2010 to 2013, and 1.2 billion users connected in 2013 through Facebook and Twitter accounts. 24 However, the ease of getting an account also makes it easy for individuals to deceive one another. Previous work on deception found that people in general lie routinely, and several efforts have sought to detect and understand deception. 20 Deception has been used in various contexts throughout human history (such as in World War II and the Trojan War) to In social media, deception can involve content, sender, and communication channel or all three together.The nature of a social medium can influence the likelihood of deception and its success for each deception technique.Deception detection and prevention are complicated by lack of standard online deception detection, of a computationally efficient method for detecting deception in large online communities, and of social media developers looking to prevent deception.

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Section: Challengesmentioning

confidence: 99%

Online deception in social media

2014

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“…Manipulating content involves tampering with images [18] or even text as can be seen in collaborative projects such as Wikipedia where special user task forces are focused on monitoring for text manipulation with the intention to spread inaccurate information [5]. Communication channels can be tampered with to disrupt communications of a user in an attempt to access his/her account or cause confusion between two parties (e.g., a case that can be observed online in video gaming consoles) [19]. Identity deception (a subcategory of deception) focuses on manipulating the sender's information [20] and can be divided into three categories: identity concealment (e.g., concealing or altering part of an individual's identity), identity theft (e.g., mimicking another person's real identity) and identity forgery (e.g., forging a fictional identity) [6].…”

Section: A Deception and Identity Deceptionmentioning

confidence: 99%

Multiple Account Identity Deception Detection in Social Media Using Nonverbal Behavior

Tsikerdekis

Zeadally

2014

IEEE Trans.Inform.Forensic Secur.

104

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Identity deception has become an increasingly important issue in the social media environment. The case of blocked users initiating new accounts, often called sockpuppetry, is widely known and past efforts, which have attempted to detect such users, have been primarily based on verbal behavior (e.g., using profile data or lexical features in text). Although these methods yield a high detection accuracy rate, they are computationally inefficient for the social media environment, which often involves databases with large volumes of data. To date, little attention has been paid to detecting online deception using non-verbal behavior. We present a detection method based on non-verbal behavior for identity deception, which can be applied to many types of social media. Using Wikipedia as an experimental case, we demonstrate that our proposed method results in high detection accuracy over previous methods proposed while being computationally efficient for the social media environment. We also demonstrate the potential of nonverbal behavior data that exists in social media and how designers and developers can leverage such non-verbal information in detecting deception to safeguard their online communities.

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“…Information can be retrieved easily with the right tools and methods. Sometimes our colleagues can use a shoulder surfing [1] to get the information about the password which can retrieve the information. With that, it is time to think how to provide privacy and security the information.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Operating System on Bandwidth in Open VPN Technology

Journal¹

2016

Baghdad Sci.J

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The internet is a basic source of information for many specialities and uses. Such information includes sensitive data whose retrieval has been one of the basic functions of the internet. In order to protect the information from falling into the hands of an intruder, a VPN has been established. Through VPN, data privacy and security can be provided. Two main technologies of VPN are to be discussed; IPSec and Open VPN. The complexity of IPSec makes the OpenVPN the best due to the latter’s portability and flexibility to use in many operating systems. In the LAN, VPN can be implemented through Open VPN to establish a double privacy layer(privacy inside privacy). The specific subnet will be used in this paper. The key and certificate will be generated by the server. An authentication and key exchange will be based on standard protocol SSL/TLS. Various operating systems from open source and windows will be used. Each operating system uses a different hardware specification. Tools such as tcpdump and jperf will be used to verify and measure the connectivity and performance. OpenVPN in the LAN is based on the type of operating system, portability and straightforward implementation. The bandwidth which is captured in this experiment is influenced by the operating system rather than the memory and capacity of the hard disk. Relationship and interoperability between each peer and server will be discussed. At the same time privacy for the user in the LAN can be introduced with a minimum specification.

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Xbox 360 Hoaxes, Social Engineering, and Gamertag Exploits

Cited by 4 publications

References 2 publications

Online deception in social media

Online deception in social media

Multiple Account Identity Deception Detection in Social Media Using Nonverbal Behavior

The Impact of Operating System on Bandwidth in Open VPN Technology

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