cyber security Smurf Attack Smurf Attack is a type of DDoS Attack, which floods the system with the spoofed ping messages. The attack has an amplification vector that increases the damage by exploiting the characteristics of the broadcast network. The attack swamps the internet with the replies to ICMP echo requests.
cyber security BlueBugging Attack Bluebugging is a type of cyber attack done on the Bluetooth enabled devices. The attack allows the hacker to access the cell commands and infiltrate the phone calls, read and send SMS. This allows any hacker to modify the contact list, connect to the internet and eavesdrop on any phone conversation
Machine Learning (ML) Deep Learning on 2-Dimensional Images Applying deep learning concepts on images has proved to be one of the important work which has resulted in early detection of diseases resulting in saving millions of life to monitoring activities on the entire Earth We take a look at medical images, Satellite Images and the various Python libraries
Machine Learning (ML) Deep Learning for Medical Imaging and Diagnosis One of the major medical challenges that we face today is the early detection of diseases so that the proper threatment can be applied. This can be solved by applying machine learning to analyse MRI scan, CT Scan, Xray Scans, InfraRed Images, Arthoscopy, UV radiation, Scintigraphy and Ultrasound
Data Structures Trie data structure A trie (digital tree, radix tree, prefix tree) is a kind of an ordered search tree data structure that is used to store a dynamic set or associative array where the keys are usually strings. Worst case search time complexity is Θ(key_length) and trie is widely used in real life applications
Machine Learning (ML) Recurrent Neural Networks (RNN) Recurrent Neural Network is one of the widely used algorithms of Deep Learning mainly due to is unique Design. It is the only algorithm that remembers the most recent Input and makes use of memory element. It is used by Apple Siri and Google Voice Search. RNN is used for sequential data.
Algorithms Aho Corasick Algorithm Aho Corasick algorithm is a string algorithm to find or search occurrences of k number of Patterns: P1 ,P2 .... Pk in a string text T. It is a modification over the KMP algorithm
Data Structures B+ Tree : Search, Insert and Delete operations A B+ tree is an N-ary tree with a variable often large number of children per node. A B+ tree consists of a root, internal nodes and leaves. The root may be either a leaf or a node with two or more children. It can be viewed as a B-tree in which each node contains only keys with an additional level
Machine Learning (ML) Residual Network (ResNet) ResNet makes it possible to train up to hundreds or even thousands of layers and still achieves compelling performance. Thanks to this technique they were able to train a network with 152 layers while still having lower complexity than VGGNet. It achieves a top-5 error rate of 3.57%
Machine Learning (ML) GoogleNet / InceptionNet The winner of the ILSVRC 2014 competition was GoogleNet from Google. It achieved a top-5 error rate of 6.67%. GoogleNet has 22 layer, and almost 12x less parameters (So faster and less then Alexnet and much more accurate). Their idea was to make a model that also could be used on a smart-phone
Machine Learning (ML) Architecture of AlexNet and its current use Alexnet is a Deep Convolutional Neural Network (CNN) for image classification that won the ILSVRC-2012 competition and achieved a winning top-5 test error rate of 15.3%, compared to 26.2% achieved by the second-best entry. We see the architecture and compare it with GoogleNet and ResNet
cyber security Distributed Denial Of Service Attack (DDoS) Distributed Denial Of Service (DDoS) is a form of cyber attack which is done to make target online services unavailable to the users. The attack disrupts the normal traffic of a targeted server, network or service by overwhelming the target or its surrounding infrastructure
cyber security Man In The Middle Attack (MitM) Man In The Middle (MitM) is a type of cyber attack in which a hacker intercepts the communication between two people either to eavesdrop or to impersonate one of the person. The aim of the attack is to steal financial details such as account details, credit card numbers or sensitive details
cyber security Denial Of Service Attack Denial Of Service Attack is a form of cyber attack basically used by hackers to prevent the victims from accessing any legitimate service. This hacker floods the web servers with excessive traffic in order to succeed in this attack. The attack does not result in theft or loss of data
cyber security SQL Injection Attack SQL(Structured Query Language) Attack is a cyber attack used for the manipulation of the backend database through the malicious SQL Query. The attack allows a hacker to cause repudiation issues and spoof the identity. The attack allows the complete exposure of the database
Data Structures B-Tree Deletion A B-tree is a tree data structure that keeps data sorted and allows searches, insertions, and deletions in logarithmic amortized time. Deletion in a B Tree is similar to insertion. At first the node from which a value is to be deleted is searched. If found out, then the value is deleted.
Data Structures B-Tree : Searching and Insertion A B-tree is a self-balanced search tree data structure that keeps data sorted and allows searches, insertions, and deletions in logarithmic amortized time. Unlike self-balancing binary search trees, it is optimized for systems that read and write large blocks of data like database and file systems
Machine Learning (ML) Floating point operations per second (FLOPS) of Machine Learning models In this article, we take a look at the FLOPs values of various machine learning models like VGG19, VGG16, GoogleNet, ResNet18, ResNet34, ResNet50, ResNet152 and others. The FLOPS range from 19.6 billion to 0.72 billion.
Machine Learning (ML) Types of Activation Functions used in Machine Learning We explored the various types of activation functions that are used in Machine Learning including Identity function, Binary Step, Sigmoid, Tanh, ReLU, Leaky ReLU and SoftMax function. Activation function help the network use the useful information and suppress the irrelevant data points
Machine Learning (ML) Evolution of CNN Architectures: LeNet, AlexNet, ZFNet, GoogleNet, VGG and ResNet It all started with LeNet in 1998 and eventually, after nearly 15 years, lead to ground breaking models winning the ImageNet Large Scale Visual Recognition Challenge which includes AlexNet in 2012, ZFNet in 2013, GoogleNet in 2014, VGG in 2014, ResNet in 2015 to ensemble of previous models in 2016.
Data Structures Ternary Search Trees Ternary Search Tree is a special type of trie data structure and is widely used as an low memory alternative to trie in a vast range of applications like spell check and near neighbor searching. The average case time complexity is O(log N) for look-up, insertion and deletion operation.
Software Engineering Control Flow in Python In Control Flow, there are certain conditions which we put with the help of predefined syntaxes and the program then run in that order and chooses the condition as a output. Control statements include conditional and iteration statements like if else, while, do while and if elif and for loop
Machine Learning (ML) You only look once (YOLO) algorithm You only look once (YOLO) is a state-of-the-art, real-time object detection system. It is a fully convolutional network. On a Pascal Titan X, it processes images at 30 FPS and has a mAP of 57.9% on COCO. It has 75 convolutional layers with skip connections and upsampling layers and no pooling.
Machine Learning (ML) Single Shot Detection (SSD) Algorithm Single Shot MultiBox Detector (SSD) is an object detection algorithm that is a modification of the VGG16 architecture. It reached new records in terms of performance and precision for object detection tasks, scoring over 74% mAP at 59 frames per second on standard datasets such as PascalVOC and COCO
Machine Learning (ML) Overview of Object Detection in Computer Vision Object detection models are used to identify multiple relevant objects in a single image.The second significant advantage of object detection models versus image classification ones is that location of the objects is provided. Popular Object Detection Models are YOLO and SSD.
