Data Security and Privacy Legislation

2011 ◽  
pp. 455-470
Author(s):  
Salahuddin Kamran
Keyword(s):  
Data Security ◽  
Security And Privacy ◽  
Privacy Legislation

Breach of Data at TJX: An Instructional Case Used to Study COSO and COBIT, with a Focus on Computer Controls, Data Security, and Privacy Legislation

2011 ◽  
Vol 26 (3) ◽  
pp. 521-545 ◽  
Author(s):  
Sandra J. Cereola ◽  
Ronald J. Cereola
Keyword(s):  
Information System ◽  
Internal Control ◽  
Data Security ◽  
Securities And Exchange Commission ◽  
Internal Controls ◽  
Security And Privacy ◽  
Free Enterprise ◽  
Sarbanes Oxley ◽  
Real World Problem ◽  
Privacy Legislation

ABSTRACT Internal control frameworks (ICF) provide a basis for understanding controls in an organization and for making judgments about the effectiveness of controls. The Sarbanes-Oxley Act of 2002 (SOX) requires companies to report, on an ongoing basis, the effectiveness of their internal controls in their annual filings. The Securities and Exchange Commission (SEC) recommends companies use ICF to help achieve compliance with SOX. ICF provide a useful tool for management and auditors evaluating and addressing the adequacy of controls in their organization. As there is no such thing as a “risk-free” enterprise, developing an understanding of ICF is important for students entering the accounting profession. This instructional case provides students the opportunity to assess internal control risks within an organization's information system using a “real-world” problem following COSO (SEC-recommended ICF) and/or COBIT as a guide. Students then evaluate the organization's overall level of internal control risks and formulate recommendations for mitigating such risks.

Valuing Data Security and Privacy Using Cyber Insurance

2015 ◽  
Author(s):  
Anand Shah ◽  
Shishir Dahake ◽  
Sri Hari Haran J
Keyword(s):  
Data Security ◽  
Security And Privacy ◽  
Cyber Insurance

scholarly journals Challenges and techniques in Big data security and privacy: A review

2018 ◽  
Vol 1 (4) ◽  
pp. e13 ◽  
Author(s):  
Rongxin Bao ◽  
Zhikui Chen ◽  
Mohammad S. Obaidat
Keyword(s):  
Big Data ◽  
Data Security ◽  
Security And Privacy

scholarly journals Data Security and Privacy in Cloud Computing

2014 ◽  
Vol 10 (7) ◽  
pp. 190903 ◽  
Author(s):  
Yunchuan Sun ◽  
Junsheng Zhang ◽  
Yongping Xiong ◽  
Guangyu Zhu
Keyword(s):  
Cloud Computing ◽  
Data Security ◽  
Security And Privacy

scholarly journals RBP: a website fingerprinting obfuscation method against intelligent fingerprinting attacks

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Tao Luo ◽  
LiangMin Wang ◽  
ShangNan Yin ◽  
Hao Shentu ◽  
Hui Zhao
Keyword(s):  
Data Security ◽  
Arrival Time ◽  
State Of The Art ◽  
Web Security ◽  
Security And Privacy ◽  
Low Delay ◽  
Defense Technology ◽  
The Difference ◽  
Bandwidth Overhead ◽  
Traffic Analysis Attack

AbstractEdge computing has developed rapidly in recent years due to its advantages of low bandwidth overhead and low delay, but it also brings challenges in data security and privacy. Website fingerprinting (WF) is a passive traffic analysis attack that threatens website privacy which poses a great threat to user’s privacy and web security. It collects network packets generated while a user accesses website, and then uses a series of techniques to discover patterns of network packets to infer the type of website user accesses. Many anonymous networks such as Tor can meet the need of hide identity from users in network activities, but they are also threatened by WF attacks. In this paper, we propose a website fingerprinting obfuscation method against intelligent fingerprinting attacks, called Random Bidirectional Padding (RBP). It is a novel website fingerprinting defense technology based on time sampling and random bidirectional packets padding, which can covert the real packets distribution to destroy the Inter-Arrival Time (IAT) features in the traffic sequence and increase the difference between the datasets with random bidirectional virtual packets padding. We evaluate the defense against state-of-the-art website fingerprinting attacks in real scenarios, and show its effectiveness.

Behavioral Economics Issues for Software Requirements Optimization for Personal Data Security and Privacy

2021 ◽  
Author(s):  
Shatadru Shikta ◽  
Somania Nur Mahal ◽  
Kazi Bushra Al Jannat ◽  
MAHADY HASAN ◽  
M. ROKONUZZAMAN
Keyword(s):  
Behavioral Economics ◽  
Data Security ◽  
Personal Data ◽  
Security And Privacy ◽  
Software Requirements
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