Advantages And Disadvantages Of Packet Sniffers

If you're using your computer at work, and your company has a stated policy regarding monitoring your use (perhaps even absent that policy, depending on how you read the case law), then you do not have any reasonable expectation of privacy in anything that you do online using your work computer, whether that's during your work day, after hours, or while traveling. Your company can legitimately "eavesdrop" on anything you do with their equipment, and there's little you can do about it.

The PATRIOT Act abuses the privacy of American citizens. It has denied the nationals of this nation of a portion of the essential rights that were guaranteed to them in the Constitution. The rights that the PATRIOT Act puts into jeopardy are intrinsic and it is the responsibility to secure our inherent rights. The USA PATRIOT Act is an Act of Congress that was marked into law by President George W. Bush on October 26, 2001. Its title is a ten-letter acronym (USA PATRIOT) that stands for "Uniting and Strengthening America by Providing Appropriate Tools Required to Intercept and Obstruct Terrorism Act of 2001. After the attacks on the Twin Towers and the Pentagon the United States has created relief controls

All data transmitted over a network is open to monitoring. Encrypt transmitted data whenever possible with password or using keys / certificates.

Isolate the Wireless LAN on a different VLAN (most commonly used) and place a firewall between this VLAN from the corporate internal network.

2nd known threat: Sniffing is something that can also do damage and expose your company data and files. If your network is not secure, your company can be sniffed by hackers who are trying to get data from you network server. I would rate sniffing a 3 because if comes as a threat when your system files are not secure and can cause you to have you company data revealed. Over all sniffing should be rated a 2 because having a strong firewall and security could fix the problem of sniffing, but you should always look to see if you notice that something odd is going on in you network

In the past decade, a number of PPDM techniques have been proposed to facilitate users in performing data mining tasks in privacy-sensitive environments. Agrawal and Srikant [3], as well as Lindell and Pinkas [63], were the first to introduce the notion of privacy-preserving under data mining applications. Existing PPDM techniques can be classified into two broad categories: data perturbation and data distribution. Data Perturbation Methods: With these methods, values of individual data records are perturbed by adding random noise in such a way that the distribution of the perturbed data look very deferent from that of the actual data. After such a transformation, the perturbed data is sent to the Miner to perform the desired data mining tasks. Agrawal and Srikant [3] proposed the first data perturbation technique that could be used to build a decision-tree classifier. A number of randomization-based methods were later proposed [6, 33, 34, 73, 104]. Data perturbation techniques are not, however, applicable to semantically- secure encrypted data. They also fail to produce accurate data mining results due to the addition of statistical noises to the data. Data Distribution Methods: These methods assume that the dataset is partitioned eitherhorizontallyorverticallyanddistributedacrossdifferentparties. The parties

information needs to be kept private to reduce the likelihood that those who do not need to know

During this time Richard has showed himself as a promising young specialist and researcher. His major specialization is Applied Mathematics and Computer Science, but as an exception for academic achievements, Alex was allowed by our faculty to write his projects and degree thesis in the field of Cryptography under Computer Security and Applied Algebra Department.

People are constantly making decisions to disclose or conceal information when posting to social media websites and signing up for online services. At first glance, Privacy Management Theory would suggest that the mere act of disclosing information to these services would create tension. However, the simple act of extending co-ownership to companies alone is not enough to cause tension for the original owner of the information.

The revelation of technology in the last two decades has influenced the society in a manner that many had not perceived. Not only has technology been applied in places of business, but it is also in our personal lives. A hallmark of this technological revolution is social media. To facilitate some of these services, such as online banking, the user is required to part with vital information. These data includes personal records, bank statements, documents of high value, say tenders to services of bitcoins. with the availability of such information online, information concerning personal details of computer users lives such

Business regulatory requirements and corporate security policy require the protection of non-public information, typically known as PII, PHI and sensitive corporate data. A class of users called the remote users, access the PII, PHI and sensitive corporate data as part of their normal job functions. Accessing the information is accomplished via full network vpn to the corporate data center. During the regular use of business applications, PII, PHI or sensitive corporate data could end up on a remote workstation. Any PII or PHI found on a remote computer unencrypted is a violation of regulations. Also, sensitive corporate data which could be harvested off of compromised remote computers could unknowing harm the organization. Since all

With data and the collection of it, comes the added need for security. To begin to understand how we need to secure the data we collect we need to understand a few aspects of the

Accessing private information using computer is not very difficult these days. Many ways have been discovered to gain access to the private information of individuals, without their knowledge. One of these ways includes accessing the transaction data of individuals.

Personal privacy today is a controversial and complex topic, which is influenced by a number of factors. There is an integral role that databases play in this highly debated topic. The fact that many people now carry out their transactions electronically is another important factor. There is also pressure on personal privacy for increased national security around the world to combat terrorism. In addition, personal privacy is even threatened by commercial factors and the Internet.

Due to the rapid growth in the use of Internet and its connected tools, an enormous amount of data are being produced on a daily basis. The concept of big data arrives when we were unable to manage this huge data with traditional methods. Big data is a mechanism of capturing, storing and analyzing the big datasets and also an idea of extracting some value from it. It is very handful while determining the root causes of failures, issues and defects in near-real time, creating coupons and other sales offers according to the customers shopping patterns, detecting any suspicious and fraudulent activities in real-time. As it is very advantageous, it also has some issues. Some of the common issues can be characterized into heterogeneity, complexity, timeless, scalability and privacy. The most important and significant challenge in the big data is to preserve privacy information of the customers, employees, and the organizations. It is very sensitive and includes conceptual, technical as well as legal significance.