The term malware is a contraction for malicious software. A simple definition is any piece of software that was written with the intent to damage computer assets, steal data, or frankly conduct any form of malicious activity within an environment. Malware is considered a general term for a variety of different types of malicious software, as modern day malware may include many characteristics that place it into multiple classes. The lines between individual types of malicious software continue to blur and erroneous classification happens all the time within the industry. We can divide malware into some specific classifications to make it easier to analyze and subsequently contain the spread once the malware strain has been identified, and containment processes are in place based on the malware characteristics. Virus This is the most commonly used term to define malicious software outside of the term malware. A virus refers to a self-replicating form of malicious code that
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WHAT HAPPENED IN THE OPM DATA BREACH As the relationship between humanity and technology develops, an emergent area of concern lies in the security of the information ferried over and handled by this technology. A myriad of information security and data breaches reported upon by news media in the recent past has had the simultaneously fortunate and unfortunate effect of bringing information and network security into the public consciousness. One such incident was the United States (US) Office of the Personnel Management (OPM) data breach. While there are many aspects of the OPM data breach that are notable, chief among them is that the perpetrator of this data breach has been widely attributed to China. As China increases its economic clout and develops its technological capabilities, its international presence is becoming more and more pronounced—and not always in the best light. Sanger (2018) has noted that by 2009, Google executives had noticed state-sponsored
What is the worth of information Security in 21 st century? Imagine small or medium scale business having around 2500-4000 employees working. What if there is a data bridge of small or medium scale compony? Information carries by Venture are employees’ names, Address, Banking Forms, Tax forms which also includes Social incurrence Number and their dependents names and supporting information which may be sell or used for personal blackmails by intruders which was kind of storyline of Scotty’s Holdings data bridge [1] . Main base of this data bridge was email phishing which were send to all over compony employee pretending to be CEO. Which contains Employer identification number (EIN), Employer’s name, address, and ZIP code, Wages, tips, other compensation and many more fields. But it’s not the first or last compony to be a part of Email phishing Attack. Main purpose of Email Phishing scams is stealing banking credentials or any other form of credentials. Preventions Employer and Emp
Abstract Digital image processing refers to the process of digital images by means of digital computer. The main application area in digital image processing is to enhance the pictorial data for human interpretation. In image some of the unwanted information is present that will be removed by several preprocessing techniques. Filtering helps to enhance the image by removing noise.Initially By creating Dictionary we will store two form of matrix. Now when We add new image in dictionary we don’t need to pass image from filter instead we will just Dictionary Learn form the Previous Dictionary and just map into. Methodology INTRODUCTION Basically the idea of Dictionary based filtering is instead of doing classical convolution every time,we directly take de–noise image from the dictionary using searching algorithm and time after time Learning of dictionary is also done by the same algorithm. We are planning to do low pass or high pass filtering to de–noise the noisy image. Low pass