What are the current methods used for detecting and mitigating DDoS attacks?4 answersCurrent methods for detecting and mitigating Distributed Denial-of-Service (DDoS) attacks include various approaches. One method involves utilizing the Gini impurity technique on Software Defined Networks (SDN) controllers in IoT networks to measure network traffic homogeneity, achieving high detection rates of 98% to 100%. Additionally, real-time detectors with low computational overhead are crucial, with statistical methods and existing datasets playing a significant role in constructing new solutions. Pushback mechanisms, involving routers identifying and deleting potentially malicious packets, along with client puzzles to authenticate traffic, offer a hybrid approach to combat DDoS attacks effectively. Machine learning and deep learning techniques, such as Support Vector Machines (SVM) and Convolutional Neural Networks (CNN), have also shown promise in quickly identifying and mitigating DDoS anomalies in SDN environments.
What are the advantages of Computing in memory in DPA attacks?5 answersComputing in Memory (CiM) offers advantages in protecting against Differential Power Analysis (DPA) attacks. CiM implementations can enhance security by incorporating techniques like memory encryption and authentication schemes, such as MEAS, which limit the vulnerability to DPA attacks. Additionally, CiM can mitigate DPA risks by enabling operations directly in memory, reducing the exposure of sensitive data to potential attacks. Furthermore, CiM architectures based on emerging nonvolatile memristive technologies can implement countermeasures like hiding and masking to enhance security against power side-channel attacks, making them less susceptible to DPA vulnerabilities compared to traditional SRAM-based CiM systems. These features collectively contribute to the resilience of CiM systems against DPA threats, making them a promising solution for secure computing in the presence of potential security risks.
What are some of the most common types of cyber attacks?4 answersCyber attacks are a growing threat in today's digital world. Some of the most common types of cyber attacks include espionage, sabotage, extortion, show of skills, phishing, malware, ransomware, social engineering, identity theft, denial-of-service, web-based attacks, Denial of Service, Zero Day Manipulations, Cross-Site Scripting, and IoT threats. These attacks can be carried out by various groups such as competitors, nation states, hacktivists, criminals, disgruntled employees, rogue wizzes, and script kiddies. The increase in online activities during the COVID-19 pandemic has also led to a rise in cyber security attacks, with individuals being vulnerable to phishing, malware, ransomware, social engineering, identity theft, and denial-of-service attacks. It is important for organizations and individuals to be aware of these common types of cyber attacks and take appropriate measures to protect themselves and their data.
What are the three types of adversarial attacks?5 answersThere are three types of adversarial attacks: soft-label, hard-label, and transfer attacks. Another type of adversarial attack is the Type I attack, which aims to cheat classifiers by significant changes, such as changing a face but still being recognized as the same person by well-trained neural networks. These Type I attacks increase Type I error, while the existing adversarial attacks increase Type II error. Additionally, there are universal attacks that can fool classification networks into classifying all examples to one targeted class and are transferable between different models.
What are the different types of SQL injection attacks?5 answersSQL injection attacks are a common type of attack targeting web applications. There are several types of SQL injection attacks, including Blind SQL injection, which exploits a gap in the database server by reverse engineering the SQL query from error messages. Another type is command injection, which is extremely prevalent and ranked as the second most common form of attack on the web. Additionally, there are general SQL injection attacks that involve inserting malicious code in the SQL query to alter its meaning. These attacks can lead to unauthorized access to data and potential loss of data integrity.
What are the different types of DoS attacks that can be launched on smart healthcare systems?5 answersDifferent types of Denial of Service (DoS) attacks that can be launched on smart healthcare systems include rapid destruction of the network and taking control of the network gradually. These attacks can pose significant threats to the healthcare industry, especially during critical situations like the COVID-19 pandemic. The comprehensive analysis of these attacks is crucial for implementing robust security solutions in healthcare systems.These attacks can significantly degrade the performance of machine learning-based smart healthcare systems, leading to erroneous treatment and patient misclassification. Adversarial ML algorithms such as HopSkipJump, Fast Gradient Method, Crafting Decision Tree, Carlini & Wagner, and Zeroth Order Optimization can be employed to perform malicious activities like data poisoning and misclassification on smart healthcare systems.Additionally, other attacks that can endanger health monitoring systems include Fingerprint and Timing-based Snooping, Router Attack, Select and Forwarding attack, Sensor attack, and Replay Attack.