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5 Super SEO Blogger Tools

In this post, I have explained top blogging tools that need to be considered by every blogger. These tools help you write better SEO friendly blog posts.



1). Headline Analyzer The best tool is the EMV Headline Analyzer. When you enter the headline it analyzes it and gives you EMV ranking. When you get '50' and above it performs better SEO.

2). Headline Length Checker The usual headline length is 50 to 60 characters. Beyond that, the headline will get truncated and looks ugly for search engine users. The tool SERP Snippet Optimization Tool useful to know how it appears in the search results.

3). Free Submission to Search Engines The tool Ping-O-Matic is a nice free submission tool. After your blog post, you can submit your feed to Ping-O-Matic. It submits to search engines freely.

4). Spell and Grammar Check Another free tool is Grammarly, this tool checks your spelling and grammar mistakes. So that you can avoid small mistakes.

5). Keyword AnalyzerWordstream Keyword analyzer i…

Cloud Security the real challenges you need to look in

cloud challenges
You may curious that cloud computing will solve all your problems. In reality, there is security problem. That is- data security problem. I am just explaining my thoughts on data security in cloud. Really many security professional need in future.

Data is crucial to any organization. When data leaks into public, organization may collapse and loose its business.

Try to understand where we lack on data security.




Challenges in data security


security

Existing Methods


The challenge in addressing this threats of data loss and data leakage is that "the measures you put in place to mitigate one can exacerbate the other," according to the report.

You could encrypt your data to reduce the impact of a breach, but if you lose your encryption key, you'll lose your data. However, if you opt to keep offline backups of your data to reduce data loss, you increase your exposure to data breaches.

Cloud security problems


  1. Data loss: the prospect of seeing your valuable data disappear into the ether without a trace. A malicious hacker might delete a target's data out of spite -- but then, you could lose your data to a careless cloud service provider or a disaster, such as a fire, flood, or earthquake. Compounding the challenge, encrypting your data to ward off theft can backfire if you lose your encryption key.
  2. Legal issues: Data loss isn't only problematic in terms of impacting relationships with customers, the report notes. You could also get into hot water with the feds if you're legally required to store particular data to remain in compliance with certain laws, such as HIPAA.
  3. Hijacking: The third-greatest cloud computing security risk is account or service traffic hijacking. Cloud computing adds a new threat to this landscape, according to CSA. If an attacker gains access to your credentials, he or she can eavesdrop on your activities and transactions, manipulate data, return falsified information, and redirect your clients to illegitimate sites. "Your account or services instances may become a new base for the attacker. From here, they may leverage the power of your reputation to launch subsequent attacks," according to the report. As an example, CSA pointed to an XSS attack on Amazon in 2010 that let attackers hijack credentials to the site.

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Tokenization story you need Vault based Vs Vault-less

The term tokenization refers to create a numeric or alphanumeric number in place of the original card number. It is difficult for hackers to get original card numbers.

Vault-Tokenization is a concept a Vault server create a new Token for each transaction when Customer uses Credit or Debit Card at Merchant outlets 
Let us see an example,  data analysis. Here, card numbers masked with other junk characters for security purpose.

Popular Tokenization ServersThere are two kinds of servers currently popular for implementing tokenization.
Vault-based Vault-less Video Presentation on Tokenization
Vault-based server The term vault based means both card number and token will be stored in a Table usually Teradata tables. During increasing volume of transactions, the handling of Table is a big challenge.
Every time during tokenization it stores a record for each card and its token. When you used a card multiple times, each time it generates multiple tokens. It is a fundamental concept.
So the challe…