Types Cyber Attacks: Cyber Security Training Workshop
Join our Cyber Security Training Workshop to learn about different types of cyber attacks such as social engineering attacks, DDoS attacks, malware attacks, MitM attacks, APTs, and password attacks. Enhance your knowledge and skills in cyber security.
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Adversarial Machine Learning
Evasion attacks on black-box machine learning models, including query-based attacks, transfer-based attacks, and zero queries attacks. Explore various attack methods and their effectiveness against different defenses.
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Adversarial Machine Learning in Cybersecurity: Challenges and Defenses
Adversarial Machine Learning (AML) plays a crucial role in cybersecurity as security analysts combat continually evolving attack strategies by malicious adversaries. ML models are increasingly utilized to address the complexity of cyber threats, yet they are susceptible to adversarial attacks. Inves
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Understanding Malicious Attacks, Threats, and Vulnerabilities in IT Security
Malicious attacks, threats, and vulnerabilities in IT systems pose significant risks and damages. This chapter explores the types of attacks, tools used, security breaches, and measures to protect against cyber threats. Learn how security professionals safeguard organizations from malicious attacks
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Role of AI in Threat Detection and Zero-day Attacks
Cybercrime has been on the rise, especially with the surge in zero-day attacks targeting various industries. State-sponsored actors, like Chinese groups, dominate zero-day exploits, challenging traditional detection methods. Incorporating AI, machine learning, and deep learning is vital in enhancing
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Principles of Cyber Security
Threat actors prioritize targeting networks to exploit vulnerabilities, leading to various attacks such as interception, DNS attacks, and MITM attacks. MITM attacks involve eavesdropping on communications or impersonating parties, with techniques like session replay to steal credentials. Implementin
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Understanding Phishing Attacks: Risks, Prevention, and Awareness
Phishing attacks are prevalent cybercrimes where attackers deceive individuals into divulging sensitive information or engaging in harmful actions. These attacks can happen through various channels such as emails, texts, or websites. The perpetrators aim to manipulate emotions like curiosity, greed,
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Managing Covid-19 Cyber and Data Protection Risks
Exploring the risks and challenges related to cyber attacks and data protection amidst the Covid-19 pandemic. The agenda covers an overview of cyber-attacks, recent developments, protections against cyber attacks, data protection concerns during lockdown, compliance steps, and employee rights issues
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Mitigation of DMA-based Rowhammer Attacks on ARM
Practical strategies are presented in "GuardION: Practical Mitigation of DMA-based Rowhammer Attacks on ARM" to defend against Rowhammer attacks on ARM architecture. The paper discusses Rowhammer defenses, RAMPAGE attacks on Android OS, and introduces GuardION as a lightweight mitigation approach. I
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Cybersecurity Challenges: Attacks on Web Applications and Cost of Security Breaches
In the realm of cybersecurity, attacks on web applications pose a significant threat with 78% of attacks targeting applications. The consequences of these attacks are immense, with projected costs reaching $6 trillion annually by 2021. Notable breaches in recent years highlight the urgency for robus
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Rogue MPDU Detection in RSNA Issues and Solutions
Abstract CIDs highlighted issues related to valid MPDUs not being acknowledged due to malicious attacks in RSNA. Efforts were made to enhance security using Protected Block Ack, but vulnerabilities persist. Various solutions are being explored, and input from group members is sought to find the best
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Understanding Buffer Overflow Attacks at Carnegie Mellon
Learn about the Carnegie Mellon 15-213 Recitation Attack Lab, where you can hijack programs using buffer overflow attacks. Gain insights into stack discipline, stack frames, and defeating secure programs through return-oriented programming. Dive into topics like stack smashing attacks, buffer overfl
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IEEE 802.11-19/1822r4 Multi-link Security Consideration
This document discusses the security considerations related to multi-link frameworks in IEEE 802.11-19/1822r4. It covers topics such as the use of different keys for different links, key generation methods, and potential replay attacks across links. The focus is on enhancing security in multi-link s
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Attacks on Fully Random 64QAM Sounding Signal in IEEE 802.11-20/0964r0
Presentation by Intel demonstrates vulnerabilities in fully random QPSK and 64QAM sounding signals in IEEE 802.11-20/0964r0. Proposed attack methods, including Viterbi equalizer attacks, and solutions such as Secure LTF mechanism and windowed FFT are discussed to enhance security in ranging. The pre
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Understanding Denial-of-Service Attacks and Defense Strategies
Denial-of-Service attacks pose a serious threat where attackers flood networks with traffic, leading to system crashes and slowdowns. Explore the impact, expected results, and various categories of DoS attacks such as bandwidth attacks, protocol exceptions, and logic attacks. Learn how to defend aga
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Understanding Network Denial of Service (DoS) Attacks
Network Denial of Service (DoS) attacks aim to disrupt services by overwhelming them with traffic. These attacks can occur at various layers of the network stack and exploit weaknesses to achieve their goal. Amplification attacks, such as the Smurf attack and DNS Amplification attack, can significan
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Understanding Adversarial Attacks in Machine Learning
Adversarial attacks in machine learning aim to investigate the robustness and fault tolerance of models, introduced by Aleksander Madry in ICML 2018. This defensive topic contrasts with offensive adversarial examples, which seek to misclassify ML models. Techniques like Deep-Fool are recognized for
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Preventing Active Timing Attacks in Low-Latency Anonymous Communication
This research addresses the vulnerabilities of onion routing to timing attacks and proposes solutions to prevent active timing attacks, focusing on low-latency anonymous communication systems. Various problems related to timing attacks in onion routing are analyzed, including the role of adversaries
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Understanding Adversarial Machine Learning Attacks
Adversarial Machine Learning (AML) involves attacks on machine learning models by manipulating input data to deceive the model into making incorrect predictions. This includes creating adversarial examples, understanding attack algorithms, distance metrics, and optimization problems like L-BFGS. Var
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Understanding Control Hijacking Attacks in Software Systems
Control hijacking attacks, such as buffer overflows and format string vulnerabilities, allow attackers to take over a target machine by manipulating application control flow. Knowledge of C functions, system calls, CPU, and OS used is crucial for executing these attacks successfully. This summary pr
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Understanding Control Hijacking Attacks and Defenses
Control hijacking attacks pose a significant threat by allowing malicious actors to manipulate data and control flow within a system. This article explores common attack methods like stack smashing and heap spraying, along with defenses such as fixing bugs, implementing platform defenses, and markin
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Effective Method to Protect Web Servers Against Breach Attacks
Abdusamatov Somon presents an effective method called HTB to protect web servers against breach attacks, focusing on secure computation and mitigation. The research addresses side-channel attacks based on compression and the CRIME BREACH issue, providing insights into implementing the breach attack
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Understanding BGP and DNS Worms in Network Security
Border Gateway Protocol (BGP) is crucial for network communication, allowing autonomous systems to exchange routing information. BGP works by announcing network ownership and directing traffic efficiently. However, BGP Blackhole attacks pose a threat, where malicious entities reroute traffic to disr
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Strategies to Protect School Systems from Cyber Attacks
Schools are increasingly becoming targets of cyber attacks, making cybersecurity measures crucial. The article discusses the importance of responding to cyber attacks, creating incident response plans, and being vigilant against interception attacks. It outlines the steps to detect, document, and mi
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Understanding Low-Intensity DoS Attacks on BGP Infrastructure
Low-intensity Denial of Service (DoS) attacks present a new challenge in cyber warfare, blending in with regular traffic to target communication channels like HTTP, SMTP, and DNS. These attacks require multiple participating hosts to flood the target with useless packets, gradually overloading serve
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Enhanced Replay Detection for Header Protection in IEEE 802.11-23/1960r1
Enhancing security in IEEE 802.11 is a key goal of UHR. This document discusses the need for improved replay detection mechanisms for header protection in the MAC layer. The proposal suggests incorporating a time component in the Packet Number (PN) to mitigate jam, record, and replay attacks. By uti
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Understanding Heap Overflow Attacks
A heap is a collection of variable-size memory chunks managed by the program. Heap overflow attacks occur when malicious actors corrupt heap memory, potentially allowing them to overwrite data and execute arbitrary code. This poses a significant security risk. The process involves manipulating heap
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Active Response Mechanism for IaaS Cloud Security
Stepping-stone attacks in IaaS clouds pose a new threat where attackers compromise vulnerable VMs to launch attacks against external hosts. This research explores the necessity of self-protection mechanisms for IaaS providers, emphasizing active response to detect and stop outgoing attacks at edge f
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Enhancing Replay Interface Efficiency in System Debugging
Efforts by researchers at Microsoft Research Asia and MIT focus on enhancing replay interface efficiency for system debugging. The motivation stems from the non-determinism challenges caused by time, user input, network I/O, and thread interleaving. The study observes that only certain parts of a pr
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Enhancing Android Development Lifecycle with VALERA Record-and-Replay Approach
Characterizing mobile bugs in Android and iOS apps, a study found higher severity and faster fixes for mobile bugs compared to desktop bugs. VALERA offers a versatile record-and-replay solution for debugging, profiling, and testing Android executions, providing insights into popular apps and bug cat
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Enhancing Data Integrity in IEEE 802.11 Networks
This document discusses proposals for improving data integrity in IEEE 802.11 networks, specifically focusing on header protection for individually addressed data and management frames. It explores the challenges and alternatives related to verifying Message Integrity Check (MIC) before sending ackn
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Understanding Data Security and Privacy: An Overview of k-Anonymity, l-Diversity, t-Closeness, and Reconstruction Attacks
Delve into the realm of data security and privacy, exploring concepts such as k-Anonymity, l-Diversity, t-Closeness, and Reconstruction Attacks. Learn about the importance of privacy concerns, privacy-preserving data sharing, real threats of linking attacks, and specific instances like the GIC Incid
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Enhancing MAC Header Protection in IEEE 802.11 for Improved Security
Numerous critical fields in the MAC header of IEEE 802.11 frames lack protection during encryption, making them vulnerable to attacks that can have adverse effects on receivers. By safeguarding these fields, performance goals can be met, power efficiency enhanced, and reliability improved. The docum
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Automated Signature Extraction for High Volume Attacks in Cybersecurity
This research delves into automated signature extraction for high-volume attacks in cybersecurity, specifically focusing on defending against Distributed Denial of Service (DDoS) attacks. The study discusses the challenges posed by sophisticated attackers using botnets and zero-day attacks, emphasiz
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Targeted Deanonymization via the Cache Side Channel: Attacks and Defenses
This presentation by Abdusamatov Somon explores targeted deanonymization through cache side-channel attacks, focusing on leaky resource attacks and cache-based side-channel attacks. It discusses the motivation behind these attacks, methods employed, potential defenses, and the evaluation of such att
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Understanding Network Security Vulnerabilities and Attacks
Explore the world of network security vulnerabilities and attacks, including Denial-of-Service (DoS) and Distributed-Denial-of-Service (D-DoS), security flaws in the TCP/IP protocol suite, ICMP attacks, routing attacks, and TCP attacks. Learn about common security vulnerabilities such as address spo
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Understanding Network Interference in CS590B/690B Lecture
Delve into the realm of network interference through the CS590B/690B lecture with Phillipa Gill at UMass Amherst. Explore topics such as Internet routing, timing attacks, BGP hijacks, Tor network functionality, relay selection, collusion scenarios, use of guards, web site fingerprinting attacks, tra
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Machine Learning for Cybersecurity Challenges: Addressing Adversarial Attacks and Interpretable Models
In the realm of cybersecurity, the perpetual battle between security analysts and adversaries intensifies with the increasing complexity of cyber attacks. Machine learning (ML) is increasingly utilized to combat these challenges, but vulnerable to adversarial attacks. Investigating defenses against
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Developing Attack Defense Ideas in Ad Hoc Wireless Networks
This research delves into the challenges and security threats faced by ad hoc wireless networks, particularly in the context of connected vehicles. It explores various attacks such as distributed denial-of-service, spoofing, replay, and more, and aims to measure the impact of implementing security m
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Zero-Padded Waveform for Secure Channel Estimation in IEEE 802.11-17
Security is a vital aspect in IEEE 802.11az, particularly in secure ranging applications. This document introduces zero-padded waveforms to protect channel estimation against attackers aiming to manipulate the range of STAs. The proposal outlines requirements, including the need to eliminate predict
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