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Defending against browser based data...

Sood, Aditya.

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Defending against browser based data exfiltration attacks.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Defending against browser based data exfiltration attacks./
作者:	Sood, Aditya.
面頁冊數:	156 p.
附註:	Source: Dissertation Abstracts International, Volume: 74-12(E), Section: B.
Contained By:	Dissertation Abstracts International74-12B(E).
標題:	Computer Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3591775
ISBN:	9781303324918

Defending against browser based data exfiltration attacks.
Sood, Aditya.

Defending against browser based data exfiltration attacks. - 156 p.

Source: Dissertation Abstracts International, Volume: 74-12(E), Section: B.

Thesis (Ph.D.)--Michigan State University, 2013.

The global nature of Internet has revolutionized cultural and commercial interactions while at the same time it has provided opportunities for cyber criminals. Crimeware services now exist that have transformed the nature of cyber crime by making it more automated and robust. Furthermore, these crimeware services are sold as a part of a growing underground economy. This underground economy has provided a financial incentive to create and market more sophisticated crimeware.

ISBN: 9781303324918Subjects--Topical Terms:

626642
Computer Science.

Defending against browser based data exfiltration attacks.
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500 $a Source: Dissertation Abstracts International, Volume: 74-12(E), Section: B.
500 $a Adviser: Richard J. Enbody.
502 $a Thesis (Ph.D.)--Michigan State University, 2013.
520 $a The global nature of Internet has revolutionized cultural and commercial interactions while at the same time it has provided opportunities for cyber criminals. Crimeware services now exist that have transformed the nature of cyber crime by making it more automated and robust. Furthermore, these crimeware services are sold as a part of a growing underground economy. This underground economy has provided a financial incentive to create and market more sophisticated crimeware.
520 $a Botnets have evolved to become the primary, automated crimeware. The current, third generation of botnets targets online financial institutions across the globe. Willie Sutton, the bank robber, when asked why he robbed banks is credited with replying: "That is where the money is." Today, financial institutions are online so "that is where the money is" and criminals are swarming. Because the browser is most people's window to the Internet, it has become the primary target of crimeware, bots in particular. A common task is to steal credentials for financial institutions such as accounts and passwords.
520 $a Our goal is to prevent browser-based data exfiltration attacks. Currently bots use a variant of the Man-in-the-Middle attack known as the Man-in-the-Browser attack for data exfiltration. The two most widely deployed browser-based data exfiltration attacks are Form-grabbing and Web Injects. Form-grabbing is used to steal data such as credentials in web forms while the Web Injects attack is used to coerce the user to provide supplemental information such as a Social Security Number (SSN). Current security techniques emphasize detection of malware. We take the opposite approach and assume that clients are infected with malware and then work to thwart their attack.
520 $a This thesis makes the following contributions: · We introduce WPSeal, a method that a financial institution can use to discover that a Web-inject attack is happening so an account can be shut down before any damage occurs. This technique is done entirely on the server side (such as the financial institution's side). · We developed a technique to encrypt form data, rendering it useless for theft. This technique is controlled from the server side (such as the financial institution's side). Using WPSeal, we can detect if the encryption scheme has been tampered with. · We present an argument that current hooking-based capabilities of bots cannot circumvent WPSeal (as well as the encryption that WPSeal protects). That is, criminals will have to come up with a totally different class of attack.
520 $a In both cases, we do not prevent the attack. Instead, we detect the attack before damage can be done, rendering the attack harmless.
590 $a School code: 0128.
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