Information Security And Aggregatable Contexts

After the devastation of WWI, the Treaty of Versailles left Germany with harsh feeling towards the other countries. As leaders like Hitler used this anger to rise to power, the other countries failed to stop his conquest. As Hitler became dictator and started to break the Treaty of Versaille, the other countries had to come to the decision to either appease Hitler, or take action and use collective security. As appeasement would keep a war at bay for a while, it wouldn’t stop it forever. However, something such as collective security, would start a world war, but it would end much quicker and be easier to take down the opposing country. Based the examples and evidence portrayed later on, collective security is the ideal way to take down and prevent the war, as well as Hitler's rule.

Global Information Assurance Certification (GIAC) is an information security certification entity that specialises in technical and practical certification as well as new research in the form of its GIAC Gold program. SANS Institute founded the certification entity in 1999 and the term GIAC is trademarked by The Escal Institute of Advanced Technologies.

2. Our proposed plan has the capacity bolster dynamic gatherings productively. In particular, new allowed clients can straightforwardly unscramble information records transferred before their investment without reaching with information proprietors. Client repudiation can be effortlessly accomplished through a novel repudiation list without redesigning the mystery keys of the remaining clients. The size and calculation overhead of encryption are consistent and autonomous with the quantity of repudiated clients.

The world is inhabited by people of unique personalities and traits. People notice one another’s physical appearances, talents, and habits, but their stories are unknown to the world’s prying eyes. A secure world never allows an individual to go out of their comfort zone. Only in times of trial will an individual grow and prosper. Such adversity develops and molds a person’s character, revealing obscure skills and dexterity.

The person (Karen), interviewed at the MetroHealth System: Cleveland, OH, is a manager in Information Technology (IT) Security who reports to the senior director technology infra structure and who then reports to Donald Reichart, the vice president chief information officer. The IT security is a very busy area and it was very generous that the manager allowed this writer some time for the security questions necessary for this assignment. The role of the security manager is to protect electronic personal health information (ePHI) and Payment Card Industry (PCI) data. PCI was developed to maintain the security of cardholder information, which affects most businesses including healthcare institutions. The compliance of PCI requires the protection of cardholder data, a secure network, access control measures, vulnerability management, interval monitoring, and information security policies per Cisco (2016). Cisco is the PCI hardware MetroHealth has in place for PCI compliance. The Health Insurance Portability and Accountability Act (HIPAA) and Omnibus Final Rule are the primary sources for security controls, but other standards and frameworks are used as reference. The Omnibus Rule was enacted by the U.S. Department of Health and Human

Security and privacy are not companions a society either has the ability to have complete privacy with no security or be protect completely with no privacy. When entering a social contract, an individual believes he or she will be protected from others harming them or their property. This leads to never being able to have complete privacy; however, privacy is a liberty that which individuals’ value and they would not agree to completely give up willingly. To help define the term privacy I will be using Joel Feinberg Offence to Others, section 5 The Relation Between Offense and Privacy. Within this passage he states: “Its [privacy] first appearance was in the law of torts, where it served to protect persons from misappropriation of their

As technology advances and the demand of data availability increases, malicious activities targeting sensitive information is also steadily increasing; as it has happened in recent years where many companies have been targeted and their data compromised. It is imperative that companies follow regulations, security policies, SLAs, and law and government compliance to safeguard their sensitive information. This is more critical when data can be accessed remotely from the internet, as is the case with iTrust.

If people ask a teenager “what is the best description for the reason that you do something that your parents would disapprove of ”, and the service will inform you that 89% of teenagers answered with “I’m just pursuing my freedom and my ability to do what I want to do”(imom.com). There are many of times when kids and teenagers tend to challenge their parents or any other people who expect to limit or supervise them because their obstinate desire of freedom, and their uncomfortableness of being inspected. The argument between the supervision of parents to children is always a vivid metaphor to the supervision of government to citizens. The government monitors its citizens as a mother monitors

1. Select one of the three characteristics of information security (CIA) and explain its importance as related to the development of policy, education, OR technology.

Computers have become the database and communication in healthcare, and enable healthcare to make technology advances. Healthcare has come a long way with computers changing nursing and healthcare to become more business-like. Since there is a lot of stored confidential, and protected health information, security issues can arise. Health information should only be accessed by direct caregivers. Employees behavior online in the workplace impacts performance and can have legal consequences for companies. Patients rely on healthcare workers to be confidential, and use ethical decisions when accessing patient files. When patients feel their information is at risk it may lead to patients withholding their health

The concept of Identity Based Encryption (IBE) was proposed by Shamir [4]. In 1984, Shamir proposed the idea of using an identity

Abstract—Fast Distributed Mining (FDM) which generates a small number of candidate set and substantially reduce the number of messages to be passed at mining association rules. Distributed data mining offers a way by data can be shared without compromising privacy. The paper present secure protocols for the task of top-k subgroup discovery on horizontally partitioned data. In this setting, all sites use the same set of attributes and the quality of every subgroup depends on all databases. The approach finds patterns in the union of the databases, without disclosing the local databases. This is the first secure approach that tackles any of the supervised descriptive rule discovery tasks. It is simpler and significantly more efficient in terms of communication rounds, communication cost and computational cost.

Preparing a data set for analysis in data mining is a more time consuming task. For preparing a data set it requires more complex SQL quires, joining tables and aggregating columns. Existing SQL aggregations have some limitations to prepare data sets because they return one column per aggregated group. In general, significant manual efforts are required to build data sets, where a horizontal layout is required. Also many data mining applications deal with privacy for many sensitive data. Therefore we need privacy preserving algorithm for preserving sensitive data in data mining. Horizontal database aggregation is a task that involves many participating entities. However, privacy preserving during such database aggregation is a challenging task. Regular encryption cannot be used in such cases as they do not perform mathematical operations & preserve properties of encrypted data. This paper has two main approaches preparing Data set and privacy preserving in data mining. For preparing the data set we can use the case, pivot and SPJ method for preparing the horizontal aggregation and then employ a homomorphic encryption based scheme for data privacy during aggregations. Homomorphic encryption is the conversion of data into cipher text which allows specific types of computation operations to be performed on the data set and obtains encrypted result. The encrypted result is same as the result which is performed on the plain text. Although such schemes are already being used for

From the viewpoint of data security, which has always been an important form of quality of service, Cloud computing surely poses new challenging security threats for number of reasons. Firstly, traditional cryptographic primitives for the purpose of data security protection cannot be straight accepted due to users loss control of data under cloud computing. Therefore, verification of correct data storage in the cloud must be attended without accurate knowledge of the whole data. Considering different kind of data for every user stored in the cloud and the requirement of long term continuous security of their data safety, the problem of checking correctness of data storage in the cloud becomes even more challenging.[1]

Abstract—Fast Distributed Mining (FDM) which generates a small number of candidate set and substantially reduce the number of messages to be passed at mining association rules. Distributed data mining offers a way by data can be shared without compromising privacy. A protocol for secure mining of association rules in horizontally distributed databases. The main ingredients in the existing protocol are two novel secure multi-party algorithms-one that computes the union of private subsets that each of the interacting players hold and another that tests the inclusion of an element held by one player in a subset held by another. In order to improve the performance of the system it presents the subgroup discovery concept in this system. The paper present secure protocols for the task of top-k subgroup discovery on horizontally partitioned data. In this setting, all sites use the same set of attributes and the quality of every subgroup depends on all databases. Subgroup discovery is the task of finding subgroups of a