Rise of Dr Dos DDoS Attacks - Infographic
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Distributed reflection denial of service attacks, or DrDoS attacks, increased significantly in 2013. Uniquely, reflection attacks have two victims – the unwilling third-party server that is compelled to launch DDoS attack traffic and the attackers’ intended DDoS target. For both victims the effect is similar – slow performance or an outage that prevents legitimate users from accessing your site. This infographic from Prolexic explains why DrDoS attacks are on the rise and best practices to stop them.
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DDoS ATTACKS
DDoS attacks target companies and institutions that provide online services. They work by overloading servers with traffic from multiple compromised systems known as "bots" or "zombies". Common DDoS attack types include SMURF, TCP SYN/ACK, UDP flood, DNS amplification, and attacks using peer-to-peer networks. Defenses include configuring routers and firewalls to filter unauthorized traffic, limiting response messages, and tracking malicious activity on peer-to-peer networks. As attack methods evolve, continued development of detection and mitigation techniques is needed.
DDoS-bdNOG
The document provides information about different types of DDoS attacks including DoS, DDoS, DNS reflection, SYN reflection, SMURF, UDP flood, SNMP, NTP, HTTP GET, and HTTP POST attacks. It describes how each attack works and overloads the target system with traffic. Mitigation techniques are also outlined, such as firewalls, rate limiting, authentication, and modifying server configurations.
DDoS Attack
The document discusses denial of service (DoS) attacks and methods of mitigation. It describes various types of DoS attacks including flooding attacks like TCP SYN floods and UDP floods that exhaust server bandwidth or resources. Other attacks discussed include HTTP floods, SSL handshake floods, and attacks that exploit vulnerabilities or misuse features like HTTP POST floods and SSL renegotiation attacks. State-of-the-art mitigation techniques mentioned include DoS mitigation software developed by the Society for Electronic Transactions & Security that use techniques like client puzzles to protect against various application layer attacks.
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This document provides information about different types of denial of service (DoS) and distributed denial of service (DDoS) attacks, including buffer overflow, ping of death, smurf attack, and TCP SYN attack. It explains that DoS attacks aim to make machines or network resources unavailable by overwhelming them with more requests than their capacity allows. DDoS attacks perform the same type of flooding from multiple sources rather than a single source. The document also discusses how buffer overflows can corrupt data and crash systems, how ping of death exploits IP fragmentation, and how smurf attacks work by amplifying traffic volume through IP broadcast replies.
Denial of service attack
The document discusses denial of service (DoS) and distributed denial of service (DDoS) attacks. It defines DoS as an attack that renders a system unable to provide normal services by flooding it with traffic. DDoS uses multiple compromised systems to launch a coordinated DoS attack against one or more targets, multiplying the attack effectiveness. Attacks are classified by the system targeted (clients, routers, firewalls, servers), part of the system (hardware, OS, TCP/IP stack), and whether they exploit bugs or just overload resources. Common DDoS tools like Trinoo and TFN are mentioned. Protection from these large-scale attacks remains a challenge.
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The document discusses denial of service (DoS) and distributed denial of service (DDoS) attacks. It defines DoS and DDoS attacks, describes different types of DoS attacks like SYN flooding and Smurf attacks. It also explains how botnets and tools are used to launch DDoS attacks, and discusses some common DDoS countermeasures like detection, mitigation and traceback.
Denail of Service
This document provides an overview of denial of service (DoS) attacks, including categories and types. It discusses direct DoS attacks such as single-tier, dual-tier, and triple-tier distributed attacks. Indirect DoS attacks through viruses and worms are also covered. The document concludes with strategies for preventing DoS attacks, such as following security best practices, implementing intrusion detection, and coordinating with internet service providers.
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Hemant Jain outlines 10 DDoS mitigation techniques:
1. SYN proxy screens connection requests and only forwards legitimate ones to prevent SYN floods from overwhelming servers.
2. Connection limiting gives preference to existing connections and limits new requests to temporarily reduce server overload.
3. Aggressive aging removes idle connections from firewalls and servers to free up space in connection tables.
4. Source rate limiting identifies and denies excessive bandwidth to outlier IP addresses launching attacks.
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DDoS ATTACKS
DDoS attacks target companies and institutions that provide online services. They work by overloading servers with traffic from multiple compromised systems known as "bots" or "zombies". Common DDoS attack types include SMURF, TCP SYN/ACK, UDP flood, DNS amplification, and attacks using peer-to-peer networks. Defenses include configuring routers and firewalls to filter unauthorized traffic, limiting response messages, and tracking malicious activity on peer-to-peer networks. As attack methods evolve, continued development of detection and mitigation techniques is needed.
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The document provides information about different types of DDoS attacks including DoS, DDoS, DNS reflection, SYN reflection, SMURF, UDP flood, SNMP, NTP, HTTP GET, and HTTP POST attacks. It describes how each attack works and overloads the target system with traffic. Mitigation techniques are also outlined, such as firewalls, rate limiting, authentication, and modifying server configurations.
DDoS Attack
The document discusses denial of service (DoS) attacks and methods of mitigation. It describes various types of DoS attacks including flooding attacks like TCP SYN floods and UDP floods that exhaust server bandwidth or resources. Other attacks discussed include HTTP floods, SSL handshake floods, and attacks that exploit vulnerabilities or misuse features like HTTP POST floods and SSL renegotiation attacks. State-of-the-art mitigation techniques mentioned include DoS mitigation software developed by the Society for Electronic Transactions & Security that use techniques like client puzzles to protect against various application layer attacks.
Denial of service attack
This document provides information about different types of denial of service (DoS) and distributed denial of service (DDoS) attacks, including buffer overflow, ping of death, smurf attack, and TCP SYN attack. It explains that DoS attacks aim to make machines or network resources unavailable by overwhelming them with more requests than their capacity allows. DDoS attacks perform the same type of flooding from multiple sources rather than a single source. The document also discusses how buffer overflows can corrupt data and crash systems, how ping of death exploits IP fragmentation, and how smurf attacks work by amplifying traffic volume through IP broadcast replies.
Denial of service attack
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Module 9 Dos
The document discusses denial of service (DoS) and distributed denial of service (DDoS) attacks. It defines DoS and DDoS attacks, describes different types of DoS attacks like SYN flooding and Smurf attacks. It also explains how botnets and tools are used to launch DDoS attacks, and discusses some common DDoS countermeasures like detection, mitigation and traceback.
Denail of Service
This document provides an overview of denial of service (DoS) attacks, including categories and types. It discusses direct DoS attacks such as single-tier, dual-tier, and triple-tier distributed attacks. Indirect DoS attacks through viruses and worms are also covered. The document concludes with strategies for preventing DoS attacks, such as following security best practices, implementing intrusion detection, and coordinating with internet service providers.
10 DDoS Mitigation Techniques
Hemant Jain outlines 10 DDoS mitigation techniques:
1. SYN proxy screens connection requests and only forwards legitimate ones to prevent SYN floods from overwhelming servers.
2. Connection limiting gives preference to existing connections and limits new requests to temporarily reduce server overload.
3. Aggressive aging removes idle connections from firewalls and servers to free up space in connection tables.
4. Source rate limiting identifies and denies excessive bandwidth to outlier IP addresses launching attacks.
Practical steps to mitigate DDoS attacks
Praktické postupy ochrany před DDoS útoky - Přednáška se bude zabývat postupy jak se chránit před DoS/DDoS útoky a to od nejnižší po nejvyšší vrstvu, od malých webů po korporátní sítě.
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Distributed denial-of-service (DDoS) attack || Seminar Report @ gestyy.com/...
A denial-of-service attack (DoS attack) or distributed denial-of-service attack (DDoS attack) is an attempt to make a computer resource unavailable to its intended users. Although the means to carry out, motives for, and targets of a DoS attack may vary, it generally consists of the concerted efforts of a person or people to prevent an Internet site or service from functioning efficiently or at all, temporarily or indefinitely. Perpetrators of DoS attacks typically target sites or services hosted on high-profile web servers such as banks, credit card payment gateways, and even root name servers. The term is generally used with regards to computer networks, but is not limited to this field, for example, it is also used in reference to CPU resource management. There are two general forms of Dos attacks: those that crash services and those that flood services.
One common method of attack involves saturating the target machine with external communications requests, such that it cannot respond to legitimate traffic, or responds so slowly as to be rendered effectively unavailable. In general terms, DoS attacks are implemented by either forcing the targeted computer to reset, or consuming its resources so that it can no longer provide its intended service or obstructing the communication media between the intended users and the victim so that they can no longer communicate adequately.
An introduction to denial of service attack
This document discusses different types of denial of service (DoS) attacks, including distributed denial of service (DDoS), permanent denial of service (PDoS), and exception denial of service (XDoS) attacks. It provides examples of specific DDoS attacks like Trinoo, TFN/TFN2K, and Stacheldraht. The document also explains that PDoS attacks exploit security flaws to remotely administer victim hardware, while XDoS attacks are content-based and aim to shut down web services. Additional DoS attack types discussed include LAND, Latteria, ping of death, teardrop attacks, and SYN floods. The document concludes with an invitation for questions and
DDoS attacks
This document discusses distributed denial of service (DDoS) attacks and potential defenses. It describes how DDoS attacks work by flooding a victim with useless traffic from many compromised systems to overwhelm the victim's bandwidth or resources. The document outlines different types of DDoS attacks like direct and reflector attacks. It also discusses challenges with detection and prevention, such as the difficulty of filtering reflected packets or widely deploying packet filters across networks. Promising defense approaches include developing a global firewall infrastructure with distributed detection systems that can identify anomalies and coordinate response. However, effective DDoS defense remains an ongoing challenge.
Ddos attack definitivo
This document discusses denial of service (DoS) and distributed denial of service (DDoS) attacks. It defines various types of malware used in such attacks like viruses, worms, Trojans, and bots. It explains how DDoS attacks work using multiple compromised systems or "zombie computers" controlled by an attacker. The document outlines different DDoS attack methods and provides examples of DDoS attacks against Estonia and Georgia. It discusses challenges in preventing such attacks and potential solutions like improving overall internet security, using coordinated filters, and tracing attacks back to their source.
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This is a presentation i made about Denial of Service or a Distributed Denial of Service (DoS / DDoS) and the latest methods used to crash anything online and the future of such attacks which can disrupt the whole internet . Such attacks which are in TB's and can be launched from just single computer. And, there is not much that can be done to prevent them.
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The document discusses defending against distributed denial-of-service (DDoS) attacks and proposes solutions. It describes types of DDoS attacks like SYN flooding and reflector attacks. It then analyzes solutions like route-based packet filtering and a distributed attack detection system using detection systems to identify attacks and install filters. The document concludes current defenses are inadequate and more effective detection-and-filtering approaches need to be developed.
Defense mechanism for d do s attack through machine learning
This document proposes a machine learning approach using the Naive Bayes algorithm to detect distributed denial of service (DDoS) attacks through network intrusion detection. It first discusses the issues with existing intrusion detection systems, including long training times and low accuracy. It then summarizes research on applying various machine learning techniques like neural networks, decision trees, and Naive Bayes to intrusion detection. The proposed system would build a classifier using Naive Bayes, which provides faster training than other methods, to distinguish normal and attack traffic. This approach aims to improve upon the training time and detection accuracy of existing intrusion detection systems.
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This document discusses denial of service (DoS) and distributed denial of service (DDoS) attacks. It defines DoS as an attempt to make a machine or network unavailable to its intended users. A DDoS attack involves using multiple compromised systems to launch a DoS attack on a single target. Types of DDoS attacks include bandwidth attacks, SYN flood attacks, and program/application attacks. The document also discusses botnets, common DDoS attack tools like Hulk, symptoms of a DoS attack, and various countermeasures organizations can implement such as IDS/IPS, firewalls, ingress/egress filtering, and load balancing to detect and mitigate DDoS attacks.
Protection of server from syn flood attack
This document summarizes a research paper that proposes a method to protect servers from SYN flood attacks. The method uses an algorithm with a continuous self-detecting process to identify and update information about genuine clients, even in the presence of spoofed packets. It builds a repository of genuine client information that can then be used by security systems like intrusion detection systems and packet filtering to further protect the server. The performance of the SYN flood attack protection could also be improved by implementing the algorithm in hardware using an FPGA.
DDoS Open Threat Signaling (DOTS) Working Group Presentation on draft-ietf-do...
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This document provides an overview of distributed denial of service (DDoS) attacks. It discusses the components and architecture of DDoS attacks and classifies them into four categories: flood attacks, amplification attacks, TCP SYN attacks, and malformed packet attacks. Specific attack types like UDP floods, ICMP floods, Smurf attacks and Fraggle attacks are described. The document also covers DDoS defense problems and classifications such as intrusion prevention, detection, tolerance and response. It concludes that DDoS attacks are difficult to prevent due to readily available tools and the ability to target any internet host, and that the best defense involves vigilant system administration.
Entropy based DDos Detection in SDN
1) The document describes a proposed SDN-based system to detect and prevent DDoS attacks. It uses entropy calculations on traffic flow statistics to detect attacks. When an attack is detected, the controller installs rules to block traffic from bot IPs and the server uses CAPTCHAs to authenticate legitimate users.
2) The system was tested using iperf and attack tools on an emulation platform. Results showed it maintained high throughput even during attacks, unlike approaches that overload the controller. It also had lower false positives than other detection algorithms.
3) Future work could include expanding the system to detect attacks targeting different SDN layers and more servers. The approach provides an effective and scalable DDoS defense for
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IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Entropy and denial of service attacks
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The presentation covers information about basic and advanced ddos attacks; the tools, techniques and methods to perform them and how to prevent them using the methods present in TCP/IP. Given the different network and application protocols for tcp/ip; we tried to describe where ddos attacks are made possible in the communication process . Each attack is seperately analyzed and described and defense technique is described using the same analogy. Our motto: If there is a ddos case, there was a way to defend it.
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<p><strong>Speaker Bio</strong>:</p>
<p>Suzanne is a solutions engineer team lead at Cloudflare, where she specializes in security, performance, and usability. Her interest in all things web started in high school when she created the school’s first website. While at Stanford, Suzanne was the webmaster for a matchbox sized server running the Wearable Computing Lab’s site.</p>
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International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology
DDoS.pptx
A DDoS attack occurs when multiple systems coordinate to launch a synchronized denial of service attack on a single target from many locations simultaneously. This distributes the load of attacks across many hosts, making the true attacking party difficult to identify and the attacks harder to mitigate than a standard DoS attack from one location. In 2020, Google experienced a record-breaking UDP amplification DDoS attack sourced from Chinese ISPs generating 167 million packets per second over six months, demonstrating the massive volumes possible in a well-resourced attack.
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Practical steps to mitigate DDoS attacks
Praktické postupy ochrany před DDoS útoky - Přednáška se bude zabývat postupy jak se chránit před DoS/DDoS útoky a to od nejnižší po nejvyšší vrstvu, od malých webů po korporátní sítě.
www.security-session.cz
Distributed denial-of-service (DDoS) attack || Seminar Report @ gestyy.com/...
A denial-of-service attack (DoS attack) or distributed denial-of-service attack (DDoS attack) is an attempt to make a computer resource unavailable to its intended users. Although the means to carry out, motives for, and targets of a DoS attack may vary, it generally consists of the concerted efforts of a person or people to prevent an Internet site or service from functioning efficiently or at all, temporarily or indefinitely. Perpetrators of DoS attacks typically target sites or services hosted on high-profile web servers such as banks, credit card payment gateways, and even root name servers. The term is generally used with regards to computer networks, but is not limited to this field, for example, it is also used in reference to CPU resource management. There are two general forms of Dos attacks: those that crash services and those that flood services.
One common method of attack involves saturating the target machine with external communications requests, such that it cannot respond to legitimate traffic, or responds so slowly as to be rendered effectively unavailable. In general terms, DoS attacks are implemented by either forcing the targeted computer to reset, or consuming its resources so that it can no longer provide its intended service or obstructing the communication media between the intended users and the victim so that they can no longer communicate adequately.
An introduction to denial of service attack
This document discusses different types of denial of service (DoS) attacks, including distributed denial of service (DDoS), permanent denial of service (PDoS), and exception denial of service (XDoS) attacks. It provides examples of specific DDoS attacks like Trinoo, TFN/TFN2K, and Stacheldraht. The document also explains that PDoS attacks exploit security flaws to remotely administer victim hardware, while XDoS attacks are content-based and aim to shut down web services. Additional DoS attack types discussed include LAND, Latteria, ping of death, teardrop attacks, and SYN floods. The document concludes with an invitation for questions and
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Ddos attack definitivo
This document discusses denial of service (DoS) and distributed denial of service (DDoS) attacks. It defines various types of malware used in such attacks like viruses, worms, Trojans, and bots. It explains how DDoS attacks work using multiple compromised systems or "zombie computers" controlled by an attacker. The document outlines different DDoS attack methods and provides examples of DDoS attacks against Estonia and Georgia. It discusses challenges in preventing such attacks and potential solutions like improving overall internet security, using coordinated filters, and tracing attacks back to their source.
1766 1770
This document discusses a statistical approach for classifying and identifying different types of Distributed Denial of Service (DDoS) attacks using the UCLA dataset. It first introduces DDoS attacks and their increasing prevalence. It then discusses related work on DDoS attack detection. The document outlines the architecture of DDoS attacks and describes some common types like SYN flooding and ACK flooding attacks. The proposed system is described which involves collecting packets, extracting features, using a packet classification algorithm to initially classify attacks, then using a K-Nearest Neighbors classifier for more accurate results. Finally, the system aims to classify and identify specific types of DDoS attacks from the network traffic analysis.
Denial of Service Attacks (DoS/DDoS)
This is a presentation i made about Denial of Service or a Distributed Denial of Service (DoS / DDoS) and the latest methods used to crash anything online and the future of such attacks which can disrupt the whole internet . Such attacks which are in TB's and can be launched from just single computer. And, there is not much that can be done to prevent them.
透视消费者.ppt
The document discusses defending against distributed denial-of-service (DDoS) attacks and proposes solutions. It describes types of DDoS attacks like SYN flooding and reflector attacks. It then analyzes solutions like route-based packet filtering and a distributed attack detection system using detection systems to identify attacks and install filters. The document concludes current defenses are inadequate and more effective detection-and-filtering approaches need to be developed.
Defense mechanism for d do s attack through machine learning
This document proposes a machine learning approach using the Naive Bayes algorithm to detect distributed denial of service (DDoS) attacks through network intrusion detection. It first discusses the issues with existing intrusion detection systems, including long training times and low accuracy. It then summarizes research on applying various machine learning techniques like neural networks, decision trees, and Naive Bayes to intrusion detection. The proposed system would build a classifier using Naive Bayes, which provides faster training than other methods, to distinguish normal and attack traffic. This approach aims to improve upon the training time and detection accuracy of existing intrusion detection systems.
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Protection of server from syn flood attack
This document summarizes a research paper that proposes a method to protect servers from SYN flood attacks. The method uses an algorithm with a continuous self-detecting process to identify and update information about genuine clients, even in the presence of spoofed packets. It builds a repository of genuine client information that can then be used by security systems like intrusion detection systems and packet filtering to further protect the server. The performance of the SYN flood attack protection could also be improved by implementing the algorithm in hardware using an FPGA.
DDoS Open Threat Signaling (DOTS) Working Group Presentation on draft-ietf-do...
Presentation given by Roland Dobbins covering our recent draft of use case scenarios for use in DDoS Open Threat Signaling. This presentation was given on Nov. 3rd, 2015 at IETF 94 in Yokohama, Japan.
Destributed denial of service attack ppt
This document provides an overview of distributed denial of service (DDoS) attacks. It discusses the components and architecture of DDoS attacks and classifies them into four categories: flood attacks, amplification attacks, TCP SYN attacks, and malformed packet attacks. Specific attack types like UDP floods, ICMP floods, Smurf attacks and Fraggle attacks are described. The document also covers DDoS defense problems and classifications such as intrusion prevention, detection, tolerance and response. It concludes that DDoS attacks are difficult to prevent due to readily available tools and the ability to target any internet host, and that the best defense involves vigilant system administration.
Entropy based DDos Detection in SDN
1) The document describes a proposed SDN-based system to detect and prevent DDoS attacks. It uses entropy calculations on traffic flow statistics to detect attacks. When an attack is detected, the controller installs rules to block traffic from bot IPs and the server uses CAPTCHAs to authenticate legitimate users.
2) The system was tested using iperf and attack tools on an emulation platform. Results showed it maintained high throughput even during attacks, unlike approaches that overload the controller. It also had lower false positives than other detection algorithms.
3) Future work could include expanding the system to detect attacks targeting different SDN layers and more servers. The approach provides an effective and scalable DDoS defense for
Denial of Service Attack
This Presentation is useful to study about Denial of Service Attack or DoS Attack. This Presentation is also useful to make PPT on this topic.
Monitoring of traffic over the victim under tcp syn flood in a lan
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Entropy and denial of service attacks
Denial of Service attacks – Definitions, related surveys
Traceback of DDoS Attacks – Proposed method, advantages, future work
Detection methods with Shannon and Renyi cross entropy – Previous works, proposed method, dataset and results
The added value of entropy detection methods
References
Ddos and mitigation methods.pptx (1)
The presentation covers information about basic and advanced ddos attacks; the tools, techniques and methods to perform them and how to prevent them using the methods present in TCP/IP. Given the different network and application protocols for tcp/ip; we tried to describe where ddos attacks are made possible in the communication process . Each attack is seperately analyzed and described and defense technique is described using the same analogy. Our motto: If there is a ddos case, there was a way to defend it.
DDoS Attack and Mitigation
Slides about DoS, DDoS, Volumetric Attack and Application Layer attacks, mitigation technique and security best practices.
The Anatomy of DDoS Attacks
<p>DDoS attacks make headlines everyday, but how do they work and how can you defend against them? DDoS attacks can be high volume UDP traffic floods, SYN floods, DNS amplification, or Layer 7 HTTP attacks. Understanding how to protect yourself from DDoS is critical to doing business on the internet today.</p>
<p>Suzanne Aldrich, a lead Solutions Engineer at Cloudflare, will cover how these attacks work, what is being targeted by the attackers, and how you can protect against the different attack types. She will cap the session with the rise in IoT attacks, and expectations for the future of web security.</p>
<p><strong>Speaker Bio</strong>:</p>
<p>Suzanne is a solutions engineer team lead at Cloudflare, where she specializes in security, performance, and usability. Her interest in all things web started in high school when she created the school’s first website. While at Stanford, Suzanne was the webmaster for a matchbox sized server running the Wearable Computing Lab’s site.</p>
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PASSWORD BASED SCHEME AND GROUP TESTING FOR DEFENDING DDOS ATTACKS
DOS ATTACKS ARE ONE OF THE TOP SECURITY PROBLEMS AFFECTING NETWORKS AND DISRUPTING SERVICES TO LEGITIMATE USERS. THE VITAL STEP IN DEALING WITH THIS PROBLEM IS THE NETWORK'S ABILITY TO DETECT SUCH ATTACKS. APPLICATION DDOS ATTACK, WHICH AIMS AT DISRUPTING APPLICATION SERVICE RATHER THAN DEPLETING THE NETWORK RESOURCE. UP TO NOW ALL THE RESEARCHES MADE ON THIS DDOS ATTACKS ONLY CONCENTRATES EITHER ON NETWORK RESOURCES OR ON APPLICATION SERVERS BUT NOT ON BOTH. IN THIS PAPER WE PROPOSED A SOLUTION FOR BOTH THESE PROBLEMS BY AUTHENTICATION METHODS AND GROUP TESTING.
A survey of trends in massive ddos attacks and cloud based mitigations
Distributed Denial of Service (DDoS) attacks today
have been amplified into gigabits volume with
broadband Internet access; at the same time, the us
e of more powerful botnets and common DDoS
mitigation and protection solutions implemented in
small and large organizations’ networks and servers
are no longer effective. Our survey provides an in-
depth study on the current largest DNS reflection a
ttack
with more than 300 Gbps on Spamhaus.org. We have re
viewed and analysed the current most popular
DDoS attack types that are launched by the hacktivi
sts. Lastly, effective cloud-based DDoS mitigation
and
protection techniques proposed by both academic res
earchers and large commercial cloud-based DDoS
service providers are discussed
A survey of trends in massive ddos attacks and cloud based mitigations
Distributed Denial of Service (DDoS) attacks today
have been amplified into gigabits volume with
broadband Internet access; at the same time, the us
e of more powerful botnets and common DDoS
mitigation and protection solutions implemented in
small and large organizations’ networks and servers
are no longer effective. Our survey provides an in-
depth study on the current largest DNS reflection a
ttack
with more than 300 Gbps on Spamhaus.org. We have re
viewed and analysed the current most popular
DDoS attack types that are launched by the hacktivi
sts. Lastly, effective cloud-based DDoS mitigation
and
protection techniques proposed by both academic res
earchers and large commercial cloud-based DDoS
service providers are discussed
A SURVEY OF TRENDS IN MASSIVE DDOS ATTACKS AND CLOUD-BASED MITIGATIONS
Distributed Denial of Service (DDoS) attacks today have been amplified into gigabits volume with broadband Internet access; at the same time, the use of more powerful botnets and common DDoS mitigation and protection solutions implemented in small and large organizations’ networks and servers are no longer effective. Our survey provides an in-depth study on the current largest DNS reflection attack with more than 300 Gbps on Spamhaus.org. We have reviewed and analysed the current most popular DDoS attack types that are launched by the hacktivists. Lastly, effective cloud-based DDoS mitigation and protection techniques proposed by both academic researchers and large commercial cloud-based DDoS service providers are discussed.
TECHNICAL WHITE PAPER: The Continued rise of DDoS Attacks
Denial-of-service attacks—short but strong
DDoS amplification attacks continue to increase as attackers experiment with new protocols.
Distributed denial-of-service (DDoS) attacks, as the name implies, attempt to deny a service to legitimate users by overwhelming the target with activity. The most common method is a network traffic flood DDoS attack against Web servers, where distributed means that multiple sources attack the same target at the same time. These attacks are often conducted through botnets.
Such DDoS attacks have grown larger year over year. In 2013, the largest attack volume peaked at 300 Gbps. So far in 2014, we have already seen one attack with up to 400 Gbps in attack volume. In recent times, DDoS attacks have become shorter in duration, often lasting only a few hours or even just minutes. According to Akamai, the average attack lasts 17 hours. These burst attacks can be devastating nonetheless, as most companies are affected by even a few hours of downtime and many business are not prepared. In addition to the reduced duration, the attacks are getting more sophisticated and varying the methods used, making them harder to mitigate.
In 2014, amplification and reflection attacks were still the most popular choice for the attacker. This method multiplies the attack traffic, making it easier for attackers to reach a high volume of above 100 Gbps even with a small botnet. From January to August 2014, DNS amplification attacks grew by 183 percent. The use of the network time protocol (NTP) amplification method has increased by a factor of 275 from January to July, but is now declining again. The use of compromised, high bandwidth servers with attack scripts has become a noticeable trend.
Akamai___WebSecurity_eBook_Final
This document discusses threats to web security and approaches to mitigating them. It begins by defining denial of service (DoS) and distributed denial of service (DDoS) attacks against networks and applications. These attacks have grown exponentially in size and can flood sites with traffic to make them unavailable. The document then discusses attacks that steal data, such as SQL injection. It advocates a multi-layered approach using both on-premises and cloud-based defenses to secure against network-level DoS/DDoS attacks, application-layer attacks, and DNS attacks. Factors for choosing solutions include ability to defend against different attack types and vectors. The document concludes with recommendations around addressing common web vulnerabilities.
DDoS Attack PPT by Nitin Bisht
This document discusses distributed denial of service (DDoS) attacks. It begins by defining a DDoS attack as an attempt to make an online service unavailable by overwhelming it with traffic from multiple sources. It then explains how DDoS attacks work by exploiting vulnerable systems to create large networks of compromised devices that can be directed by an attacker to target a specific system or server. Finally, it discusses different types of DDoS attacks including volumetric attacks, protocol attacks, and application layer attacks and some famous DDoS incidents like attacks on the Church of Scientology and various websites.
nitinbisht-170409175645 (2).pdf
This document discusses distributed denial of service (DDoS) attacks. It begins by defining a DDoS attack as an attempt to make an online service unavailable by overwhelming it with traffic from multiple sources. It then explains how DDoS attacks work by exploiting vulnerable systems to create large networks of compromised devices that can be directed by an attacker to target a specific system or server. Finally, it discusses different types of DDoS attacks including volumetric attacks, protocol attacks, and application layer attacks and some famous DDoS incidents like attacks on the Church of Scientology and various websites.
Distributed reflection denial of service attack: A critical review
As the world becomes increasingly connected and the number of users grows exponentially and “things” go online, the prospect of cyberspace becoming a significant target for cybercriminals is a reality. Any host or device that is exposed on the internet is a prime target for cyberattacks. A denial-of-service (DoS) attack is accountable for the majority of these cyberattacks. Although various solutions have been proposed by researchers to mitigate this issue, cybercriminals always adapt their attack approach to circumvent countermeasures. One of the modified DoS attacks is known as distributed reflection denial-of-service attack (DRDoS). This type of attack is considered to be a more severe variant of the DoS attack and can be conducted in transmission control protocol (TCP) and user datagram protocol (UDP). However, this attack is not effective in the TCP protocol due to the three-way handshake approach that prevents this type of attack from passing through the network layer to the upper layers in the network stack. On the other hand, UDP is a connectionless protocol, so most of these DRDoS attacks pass through UDP. This study aims to examine and identify the differences between TCP-based and UDP-based DRDoS attacks.
Computer Security Cyber Security DOS_DDOS Attacks By: Professor Lili Saghafi
DOS / DDOS introduction
How Easy it is to get information
Real Life Examples MyDoom , GitHub , Dyn , Windows Server and Windows 10 servers running Internet Information Services (IIS) are vulnerable to denial of service (DOS) attacks
Base of Attacks
Types of DOS / DDOS
Attack Tools , LOIC, XOIC, Stacheldracht
DOS/DDOS Weaknesses
Category of OS/ DDOS
What to defend?
Botnets and Botnets mitigations
Michael Calce, a.k.a. MafiaBoy
Point of entrance / OSI Model ( If time permit)
Ix3615551559
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Study of flooding based ddos attacks and their effect using deter testbed
Abstract Today, Internet is the primary medium for communication which is used by number of users across the Network. At the same time, its commercial nature is causing increase vulnerability to enhance cyber crimes and there has been an enormous increase in the number of DDOS (distributed denial of service attack) attacks on the internet over the past decade. Whose impact can be proportionally severe. With little or no advance warning, a DDoS attack can easily exhaust the computing and communication resources of its victim within a short period of time. Network resources such as network bandwidth, web servers and network switches are mostly the victims of DDoS attacks. In this paper different types of DDoS attacks has been studied, a dumb-bell topology have been created and effect of UDP flooding attacks has been analyzed on web service by using attack tools available in DETER testbed. Throughput of web server is analyzed with and without DDoS attacks.
Study of flooding based d do s attacks and their effect using deter testbed
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Distributed Denial Of Service ( Ddos )
This document discusses distributed denial of service (DDoS) attacks. It begins by defining DDoS attacks as using numerous compromised systems, or "zombie machines", to launch a coordinated attack against a target system to overwhelm its bandwidth and resources. The document then discusses how early DDoS attacks worked and how routers have evolved defenses. It describes how modern DDoS attacks are more sophisticated, using botnets of infected systems controlled remotely by attackers to amplify the scale and impact of the attacks.
Do s and d dos attacks at osi layers
Among different online attacks obstructing IT security,
Denial of Service (DoS) and Distributed Denial of Service (DDoS)
are the most devastating attack. It also put the security experts under
enormous pressure recently in finding efficient defiance methods.
DoS attack can be performed variously with diverse codes and tools
and can be launched form different OSI model layers. This paper
describes in details DoS and DDoS attack, and explains how different
types of attacks can be implemented and launched from different OSI
model layers. It provides a better understanding of these increasing
occurrences in order to improve
DDoS Protection For Top 4 Industries | MazeBolt Technologies
Whitepaper gives an overview of how Banking, Government, Retail and Telecom industries are impacted by DDoS attacks and a solution to stop DDoS attacks.
Similar to Rise of Dr Dos DDoS Attacks - Infographic (20)
An Ultimate Guide to DDos Attacks: Detection, Prevention and Mitigation
An Ultimate Guide to DDos Attacks: Detection, Prevention and Mitigation
PASSWORD BASED SCHEME AND GROUP TESTING FOR DEFENDING DDOS ATTACKS
PASSWORD BASED SCHEME AND GROUP TESTING FOR DEFENDING DDOS ATTACKS
PASSWORD BASED SCHEME AND GROUP TESTING FOR DEFENDING DDOS ATTACKS
PASSWORD BASED SCHEME AND GROUP TESTING FOR DEFENDING DDOS ATTACKS
A survey of trends in massive ddos attacks and cloud based mitigations
A survey of trends in massive ddos attacks and cloud based mitigations
A survey of trends in massive ddos attacks and cloud based mitigations
A survey of trends in massive ddos attacks and cloud based mitigations
A SURVEY OF TRENDS IN MASSIVE DDOS ATTACKS AND CLOUD-BASED MITIGATIONS
A SURVEY OF TRENDS IN MASSIVE DDOS ATTACKS AND CLOUD-BASED MITIGATIONS
TECHNICAL WHITE PAPER: The Continued rise of DDoS Attacks
TECHNICAL WHITE PAPER: The Continued rise of DDoS Attacks
Distributed reflection denial of service attack: A critical review
Distributed reflection denial of service attack: A critical review
Computer Security Cyber Security DOS_DDOS Attacks By: Professor Lili Saghafi
Computer Security Cyber Security DOS_DDOS Attacks By: Professor Lili Saghafi
Study of flooding based ddos attacks and their effect using deter testbed
Study of flooding based ddos attacks and their effect using deter testbed
Study of flooding based d do s attacks and their effect using deter testbed
Study of flooding based d do s attacks and their effect using deter testbed
DDoS Protection For Top 4 Industries | MazeBolt Technologies
DDoS Protection For Top 4 Industries | MazeBolt Technologies
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State of-the-internet-web-security-threat-advisory-blackshades-rat-presentation
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The stealthy Blackshades Remote Access Tool makes it all too easy for malicious actors to infect computer with a powerful and multifeatured trojan. Once infected, attackers can monitor audio and video, look through webcams, capture screens, log keystrokes, and a wide variety of other dangerous features. Learn how you can protect your computer and your sensitive information from this severe cybersecurity threat in this short slide presentation.Largest 2013 DDoS Attacks Mitigated by Quarter
DDoS denial of service attacks against the Prolexic client base rose to a peak of 179 Gbps in 2013, setting a record for the year. We share the data on the biggest DDoS attacks of 2013 in this DDoS trends infographic, with a quarter-by-quarter breakdown.
Top 10 DDoS Trends for 2013 Infographic
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In Q3 2013, malicious actors shifted to reflection and amplification (DrDoS) attacks to launch more powerful DDoS attacks with fewer resources. This graphical analysis of attacks against Prolexic’s global client base showed an increase in reflection attacks and UDP floods and a decline in the use of SYN floods.
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Q3 2013 Global DDoS Attack Report
The document reports on distributed denial of service (DDoS) attack trends in Q3 2013. It finds that 76.52% of attacks targeted the infrastructure layer, with SYN floods being the most common at 18.16%. Application layer attacks made up 23.48% of attacks, led by HTTP GET floods at 18.03%. It analyzes attack vectors and source countries over time, finding that China was the top source country in Q3 2013 at 62.26%. Specific examples are also given of CHARGEN reflection attacks on gaming and entertainment industry customers.
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
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Rise of Dr Dos DDoS Attacks - Infographic
- 1. RiseDrDoS ATTACKS THE OF An emerging DDoS threat Distributed reflection denial of service (DrDoS) attacks increased significantly in Q3 2013 The industries at risk DrDoS attacks explained MALICIOUS ACTOR PRIMARY TARGET DrDoS attacks are being seen in most industries: 256% + TIM VIC Compared to Q3 2012 TIM VIC TIM VIC PACKET1 Spoofed Source (Target) Destination (Victim) PACKET2 Reflected Packet Source (Victim) Destination (Target) • Intermediary victim machines unwittingly participate in an attack against the perpetrator’s target • Requests to the intermediary victims are redirected (reflected) from the secondary victims to the primary target What you can do Why DrDoS usage is increasing 70% + Compared to Q2 2013 • Can obscure attack source (anonymity) • Can hijack bandwidth of intermediary victims to multiply attack size (amplification) • Increase in misconfigured servers worldwide • Easier to obtain lists of misconfigured servers and IP addresses from underground Internet communities LEARN MORE To learn more about DrDoS attacks and read a detailed case study of this emerging threat, download a complimentary copy of Prolexic’s Q3 2013 Quarterly Global DDoS Attack Report from www.prolexic.com/attackreports. +1 (954) 620 6005 www.prolexic.com Turn off the CHARGEN service to stop this attack method Download the latest updates and patches for your servers Download Prolexic’s Q3 2013 Quarterly Global DDoS Attack Report