Featured Post

Efficient Duplicate Image Removal: Using ImageDeDup Python

By -
Efficient Duplicate Image Removal: A Python Guide In this blog post, we will walk you through the process of identifying and removing duplicate images from your directories using Python. We will leverage perceptual hashing to find similar images and delete duplicates while keeping the largest file in the group. This solution is perfect for users who want to save disk space and keep their image collections organized. Why You Should Use This Code Over time, especially when dealing with large collections of images, duplicate files can accumulate. These duplicates take up unnecessary space on your system. Manually sifting through these images can be tedious, but with the help of Python, perceptual hashing, and concurrent processing, this task becomes much easier. Benefits: Efficient Duplicate Detection : By using perceptual hashing (PHash), the code compares images based on their v...
Post a Comment

SIP Attacks From Amazon EC2 Going Unaddressed

By -
Over the past week a number of IP-PBX systems have been suffering SIP attacks from hosts in the Amazon EC2 cloud. At least a dozen known attacks have been reported to Amazon, which has been surprisingly quiet about the matter. The issue has been well documented by one of the attack victims on his blog. The matter was also discussed on the April 16th issue of the VoIP Users Conference (podcast available at the link; EC2 segment begins around 3:30). Amazon appears to have gone silent on the matter even as the attacks are ongoing. This is completely irresponsible behavior from a such a hosting company, which should be acting to take down the attacker in their midst.

Comments

Post a Comment

Let's discuss and learn more

Related Posts

Entity Attribute Value Model

By -
Image
EAV (Entity-Attribute Value) Model It is a data model to describe entities where number of attributes for the entities could be very large in amount. EAV helps us to overcome the limitations of conventional database model. Ex: Organization ‘ABC’ defines the entity ‘Address’ as: Organization ‘ABC’: Address Line1 Line2 State Country Zip                    At the same time Organization ‘XYZ’ may define ‘Address’ as: Organization ‘XYZ’: Address Line1 Line2 Line3 City State Country Zip Phone A conventional database table design (one fact per column or set of facts per row) is unsuitable for such type of data, because of: ·         the need to continually add new tables or columns whenever new facts need incorporation · ...
Read More>>