This document provides an overview of distributed denial of service (DDoS) attacks, including how they work, common techniques used, and strategies for mitigating them. It defines DDoS attacks as attempts to exhaust the resources of networks, applications, or services to deny access to legitimate users. The document discusses how botnets are commonly used to launch large-scale DDoS attacks from multiple sources simultaneously. It also outlines best practices for selecting DDoS protection devices, emphasizing the importance of up-to-date detection techniques, low latency, and customized hardware-based logic to withstand major attacks.
This document summarizes a survey of distributed denial-of-service (DDoS) attacks based on vulnerabilities in the TCP/IP protocol stack. It begins by introducing DDoS attacks and their architecture, then classifies DDoS attacks according to the TCP/IP layer they target - application layer, transport layer, or internet layer. Specific attack types are described for each layer, including HTTP flooding, SYN flooding, Smurf attacks, and more. The document aims to provide understanding of existing DDoS attack tools, methods, and defense mechanisms.
Dos & Ddos Attack. Man in The Middle Attackmarada0033
The document discusses denial of service (DoS) and distributed denial of service (DDoS) attacks, as well as man-in-the-middle attacks. It defines DoS and DDoS, noting that a DDoS involves multiple hosts attacking at once. Common DoS attack types like penetration, eavesdropping, man-in-the-middle, and flooding are described. Symptoms of attacks and preventative measures are outlined. The document then explains how man-in-the-middle attacks work using techniques like ARP poisoning to intercept communications. Defenses against man-in-the-middle attacks through encryption and detection methods are also presented.
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.
This document discusses distributed denial of service (DDoS) attacks. It begins with an introduction that defines DDoS attacks as attempts to make an online service unavailable by overwhelming it with traffic from multiple compromised sources. The document then covers the basics of DDoS attacks, common symptoms, how they work by exploiting vulnerabilities in systems to create botnets for launching attacks, and various methods like ICMP floods and SYN floods. It also discusses ways to handle DDoS attacks through defenses like firewalls, switches, and routers. The document concludes with preventative and reactive defense mechanisms to detect and respond to attacks.
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.
Network defenses include tools like firewalls, VPNs, and intrusion detection systems that help secure networks and protect them from cyber attacks. Firewalls act as barriers that control incoming and outgoing network traffic according to security policies. VPNs extend private networks over public networks through secure tunnels. Intrusion detection systems monitor network traffic and detect suspicious activity. Denial of service attacks aim to make network services unavailable by overwhelming them with malicious traffic. Distributed denial of service attacks use multiple compromised systems to launch large-scale attacks.
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.
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.
This document summarizes a survey of distributed denial-of-service (DDoS) attacks based on vulnerabilities in the TCP/IP protocol stack. It begins by introducing DDoS attacks and their architecture, then classifies DDoS attacks according to the TCP/IP layer they target - application layer, transport layer, or internet layer. Specific attack types are described for each layer, including HTTP flooding, SYN flooding, Smurf attacks, and more. The document aims to provide understanding of existing DDoS attack tools, methods, and defense mechanisms.
Dos & Ddos Attack. Man in The Middle Attackmarada0033
The document discusses denial of service (DoS) and distributed denial of service (DDoS) attacks, as well as man-in-the-middle attacks. It defines DoS and DDoS, noting that a DDoS involves multiple hosts attacking at once. Common DoS attack types like penetration, eavesdropping, man-in-the-middle, and flooding are described. Symptoms of attacks and preventative measures are outlined. The document then explains how man-in-the-middle attacks work using techniques like ARP poisoning to intercept communications. Defenses against man-in-the-middle attacks through encryption and detection methods are also presented.
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.
This document discusses distributed denial of service (DDoS) attacks. It begins with an introduction that defines DDoS attacks as attempts to make an online service unavailable by overwhelming it with traffic from multiple compromised sources. The document then covers the basics of DDoS attacks, common symptoms, how they work by exploiting vulnerabilities in systems to create botnets for launching attacks, and various methods like ICMP floods and SYN floods. It also discusses ways to handle DDoS attacks through defenses like firewalls, switches, and routers. The document concludes with preventative and reactive defense mechanisms to detect and respond to attacks.
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.
Network defenses include tools like firewalls, VPNs, and intrusion detection systems that help secure networks and protect them from cyber attacks. Firewalls act as barriers that control incoming and outgoing network traffic according to security policies. VPNs extend private networks over public networks through secure tunnels. Intrusion detection systems monitor network traffic and detect suspicious activity. Denial of service attacks aim to make network services unavailable by overwhelming them with malicious traffic. Distributed denial of service attacks use multiple compromised systems to launch large-scale attacks.
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.
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.
Preventing Distributed Denial of Service Attacks in Cloud Environments IJITCA Journal
Distributed-Denial of Service (DDoS) is a key intimidation to network security. Network is a group of
nodes that interrelate with each other for switch over the information. This information is necessary for
that node is reserved confidentially. Attacker in the system may capture this private information and
distorted. So security is the major issue. There are several security attacks in network. One of the major
intimidations to internet examine is DDoS attack. It is a malevolent effort to suspending or suspends
services to destination node. DDoS or DoS is an effort to create network resource or the machine is busy to
its intentional user. Numerous thoughts are developed for avoid the DDoS or DoS. DDoS occur in two
different behaviors they may happen obviously or it may due to some attackers .Various schemes are
developed defense against to this attack. The Main focus of paper is present basis of DDoS attack, DDoS
attack types, and DDoS attack components, intrusion prevention system for DDoS.
1, prevalent network threats and telecommunication security challenges and co...Alexander Decker
1) The document discusses security challenges and threats in VoIP networks, including eavesdropping, toll fraud, denial of service attacks, spam over internet telephony, and pharming attacks.
2) It proposes several defense measures to prevent these threats, such as intrusion detection systems, filtering techniques to resist spam, and load balancing algorithms to mitigate flash crowd attacks.
3) The vulnerabilities of VoIP networks arise because they use the open Internet for transmission, leaving them exposed to the security issues that exist on IP-based networks.
This document discusses network security and cryptography. It begins by describing modern organizational networks and their vulnerabilities. It then discusses physical networks, wired and wireless networks, and common network vulnerabilities and attacks. The document outlines goals of network security including confidentiality, integrity and availability. It describes security mechanisms at different networking layers and protocols for securing email communication, DNS, and web traffic. The key points are that network security aims to protect data in transit, vulnerabilities exist at various layers, and different security protocols operate at the application, transport and network layers to provide encryption, authentication and integrity for common network services.
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.
This document discusses botnets, including what they are, their terminology, lifecycle, types of attacks they enable, and how they impact network security. It defines botnets as networks of compromised computers controlled remotely by attackers. The document outlines botnet components like bots, bot masters, and command and control servers. It also discusses methods of botnet detection like using honeynets and monitoring network traffic, and recommendations for preventing botnet infections.
Ch08 Microsoft Operating System Vulnerabilitiesphanleson
This document discusses tools and techniques for assessing and hardening Microsoft systems against common vulnerabilities. It describes Microsoft tools like the Microsoft Baseline Security Analyzer (MBSA) that can identify vulnerabilities related to patches, passwords, and insecure configurations. It also discusses vulnerabilities in Microsoft operating systems, services like IIS and SQL Server, and protocols like SMB/CIFS. The document provides best practices for securing Microsoft systems such as regular patching, antivirus software, logging and monitoring, disabling unused services, and enforcing strong passwords.
This document defines cybersecurity and summarizes its key components. It outlines common cyber threats like computer crimes, exploits, trojans, viruses, worms, denial of service attacks and malware. It also explains security tools used to counter threats, including antivirus software, firewalls, and social engineering techniques used by hackers. Peer-to-peer networks are also covered as a means for sharing files but also spreading malware between unprotected devices.
A Survey Report on DDOS Attacking Tools, Detection and Prevention MechanismsIRJET Journal
This document summarizes a survey report on DDOS attacking tools, detection mechanisms, and prevention methods. It begins by introducing DDOS attacks and their increasing prevalence. It then describes several common DDOS attacking tools like Trinoo and Shaft in detail, including their mechanisms and a comparison. It discusses two main detection mechanisms - Snort, an open-source intrusion detection system, and time series analysis. Finally, it outlines a DDOS prevention protocol called DLSR that detects attacks and identifies attackers in three phases: detection, identification, and defense.
1. A study of global internet traffic from 2009 to 2019 found that while total traffic volumes continue to grow significantly, the number of unique IP addresses and domains that account for the majority of traffic has shrunk considerably.
2. Changes in internet infrastructure like increased CDN usage and the rise of encrypted SSL traffic have impacted traffic patterns and made traffic engineering and security more challenging.
3. DDoS attacks have grown substantially larger than overall network growth, utilizing more diverse sources, and new mitigation techniques leveraging router capabilities are needed to address this evolving threat.
The document discusses sniffing and packet capture techniques used for ethical hacking. It defines sniffing as intercepting network traffic to steal passwords, emails, files and other sensitive data. It describes protocols vulnerable to sniffing like HTTP, SMTP, FTP etc. It covers tools for sniffing like Wireshark, tcpdump. It discusses active sniffing techniques like ARP spoofing using tools like Arpspoof, Ettercap and MAC flooding using Macof, Etherflood. It also covers DNS poisoning and tools in the dsniff package for sniffing passwords and files.
This document provides an overview of fast flux hosting and double flux attacks. It describes how these techniques:
1) Exploit botnets and compromised systems to rapidly change the IP addresses and domains associated with illegal websites and DNS servers, frustrating efforts to take down these systems.
2) Involve underground business relationships where malware authors, bot herders, and fast flux service operators work together to facilitate criminal activities like phishing through these techniques.
3) Recommends education and securing vulnerable systems as ways to reduce the number of compromised systems that can be used in these botnets and fast flux attacks.
The document provides information on various network defense tools. It begins by defining a computer network and listing common network types. It then discusses firewalls, describing them as software or hardware that checks incoming and outgoing information on a network. It lists the main types of firewalls as packet filters, application gateways, circuit gateways, and unified threat management. It provides details on each type, such as how packet filters use transport layer information to filter packets and how application gateways use proxies. The document also covers network address translation (NAT) and port forwarding.
This document discusses the growing threat of distributed denial of service (DDoS) attacks and strategies for mitigating them. It notes that DDoS attacks are increasing in size and sophistication, with some now reaching hundreds of gigabits per second. The document outlines different types of network layer and application layer DDoS attacks and examines methods that can be used to detect and prevent these attacks, such as packet anomaly checking, blacklisting, authentication, rate limiting, and protocol inspection. It also describes A10 Networks' Thunder TPS appliance for high-performance DDoS mitigation.
Enhancing the impregnability of linux serversIJNSA Journal
Worldwide IT industry is experiencing a rapid shift towards Service Oriented Architecture (SOA). As a
response to the current trend, all the IT firms are adopting business models such as cloud based services
which rely on reliable and highly available server platforms. Linux servers are known to be highly
secure. Network security thus becomes a major concern to all IT organizations offering cloud based
services. The fundamental form of attack on network security is Denial of Service. This paper focuses on
fortifying the Linux server defence mechanisms resulting in an increase in reliability and availability of
services offered by the Linux server platforms. To meet this emerging scenario, most of the organizations
are adopting business models such as cloud computing that are dependant on reliable server platforms.
Linux servers are well ahead of other server platforms in terms of security. This brings network security
to the forefront of major concerns to an organization. The most common form of attacks is a Denial of
Service attack. This paper focuses on mechanisms to detect and immunize Linux servers from DoS .
This document discusses network sniffing tools and techniques. It defines sniffing as capturing network traffic to steal passwords, emails, files and other sensitive data. Protocols like HTTP, SMTP, and FTP are vulnerable because they send data in clear text. Common sniffing tools discussed include Network View, The Dude Sniffer, Ethereal, and tcpdump. The document outlines two types of sniffing - passive sniffing where the sniffer does not disrupt traffic, and active sniffing using techniques like ARP spoofing to intercept traffic. Countermeasures to detect and prevent sniffing are also mentioned.
International Journal of Computational Science and Information Technology (I...ijcsity
Denial of Service (DoS) or Distributed-Denial of Service (DDoS) is major threat to network security.Network is collection of nodes that interconnect with each other for exchange the Information. This information is required for that node is kept confidentially. Attacker in network computer captures this information that is confidential and misuse the network. Hence security is one of the major issues. There are one or many attacks in network. One of the major threats to internet service is DDoS (Distributed denial of services) attack. DDoS attack is a malicious attempt to suspending or interrupting services to target node. DDoS or DoS is an attempt to make network resource or the machine is unavailable to its intended user. Many ideas are developed for avoiding the DDoS or DoS. DDoS happen in two ways
naturally or it may due to some botnets .Various schemes are developed defense against to this attack.Main idea of this paper is present basis of DDoS attack. DDoS attack types, DDoS attack components,survey on different mechanism to prevent DDoS.
Making Threat Management More ManageableIBM Security
With significant breaches of personal and corporate data being announced on a near-regular cadence, there is even more value in understanding both how the dynamic attack chain really works, and what tools your organization can use to disrupt it. From break-in to exfiltration, follow along step-by-step to understand how easy it is for attackers to infiltrate your network and steal sensitive data. Learn what technologies you can use to combat these threats and contain the impact of a breach, and determine what protection strategy you should encompass to make threat management more manageable.
View the full on-demand webcast:http://securityintelligence.com/events/making-threat-management-manageable/#.VMvYyPMo6Mp
Botnets are emerging as the most serious threat against cyber-security as they provide a distributed platform for several illegal activities such as launching distributed denial of service attacks against critical targets, malware dissemination, phishing, and click fraud. The defining characteristic of botnets is the use of command and control channels through which they can be updated and directed. Recently, botnet detection has been an interesting research topic related to cyber-threat and cyber-crime prevention. This paper is a survey of botnet and botnet detection. The survey clarifies botnet phenomenon and discusses botnet detection techniques. This survey classifies botnet detection techniques into four classes: signature-based, anomaly-based, DNS-based, and mining-base.
EuroBSDCon 2013 - Mitigating DDoS Attacks at Layer 7allanjude
Mitigating DDoS Attacks at Layer 7
The document discusses using a global server load balancer (GSLB) to localize and mitigate distributed denial of service (DDoS) attacks at layer 7. A GSLB can direct traffic away from data centers experiencing attacks based on the geographic source of traffic. It can also "sinkhole" traffic from specific regions to unroutable addresses. The GSLB integrates with GeoIP to classify attackers and adapt DNS responses. Business rules are needed to distinguish actual attacks from surges in legitimate traffic. Ongoing work includes improving attack detection and automatic blacklisting of source addresses.
Saurabh Singhvi is applying for a suitable position in the organization. He has a Bachelor's in Commerce from Jai Narayan Vyas University and postgraduate qualifications in finance, taxation, and business administration from Welingkar Institute of Management. He has appeared for and cleared the first group of the CS Final exam with the Institute of Company Secretaries of India. Currently he works as a senior executive with Mehta Singhvi & Associates Chartered Accountants. Previously he has worked with Shree Ram Colloids Private Limited and Mukta Arts Limited in finance and accounts roles. He has expertise in finance, accounts, taxation, auditing, and management.
Preventing Distributed Denial of Service Attacks in Cloud Environments IJITCA Journal
Distributed-Denial of Service (DDoS) is a key intimidation to network security. Network is a group of
nodes that interrelate with each other for switch over the information. This information is necessary for
that node is reserved confidentially. Attacker in the system may capture this private information and
distorted. So security is the major issue. There are several security attacks in network. One of the major
intimidations to internet examine is DDoS attack. It is a malevolent effort to suspending or suspends
services to destination node. DDoS or DoS is an effort to create network resource or the machine is busy to
its intentional user. Numerous thoughts are developed for avoid the DDoS or DoS. DDoS occur in two
different behaviors they may happen obviously or it may due to some attackers .Various schemes are
developed defense against to this attack. The Main focus of paper is present basis of DDoS attack, DDoS
attack types, and DDoS attack components, intrusion prevention system for DDoS.
1, prevalent network threats and telecommunication security challenges and co...Alexander Decker
1) The document discusses security challenges and threats in VoIP networks, including eavesdropping, toll fraud, denial of service attacks, spam over internet telephony, and pharming attacks.
2) It proposes several defense measures to prevent these threats, such as intrusion detection systems, filtering techniques to resist spam, and load balancing algorithms to mitigate flash crowd attacks.
3) The vulnerabilities of VoIP networks arise because they use the open Internet for transmission, leaving them exposed to the security issues that exist on IP-based networks.
This document discusses network security and cryptography. It begins by describing modern organizational networks and their vulnerabilities. It then discusses physical networks, wired and wireless networks, and common network vulnerabilities and attacks. The document outlines goals of network security including confidentiality, integrity and availability. It describes security mechanisms at different networking layers and protocols for securing email communication, DNS, and web traffic. The key points are that network security aims to protect data in transit, vulnerabilities exist at various layers, and different security protocols operate at the application, transport and network layers to provide encryption, authentication and integrity for common network services.
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.
This document discusses botnets, including what they are, their terminology, lifecycle, types of attacks they enable, and how they impact network security. It defines botnets as networks of compromised computers controlled remotely by attackers. The document outlines botnet components like bots, bot masters, and command and control servers. It also discusses methods of botnet detection like using honeynets and monitoring network traffic, and recommendations for preventing botnet infections.
Ch08 Microsoft Operating System Vulnerabilitiesphanleson
This document discusses tools and techniques for assessing and hardening Microsoft systems against common vulnerabilities. It describes Microsoft tools like the Microsoft Baseline Security Analyzer (MBSA) that can identify vulnerabilities related to patches, passwords, and insecure configurations. It also discusses vulnerabilities in Microsoft operating systems, services like IIS and SQL Server, and protocols like SMB/CIFS. The document provides best practices for securing Microsoft systems such as regular patching, antivirus software, logging and monitoring, disabling unused services, and enforcing strong passwords.
This document defines cybersecurity and summarizes its key components. It outlines common cyber threats like computer crimes, exploits, trojans, viruses, worms, denial of service attacks and malware. It also explains security tools used to counter threats, including antivirus software, firewalls, and social engineering techniques used by hackers. Peer-to-peer networks are also covered as a means for sharing files but also spreading malware between unprotected devices.
A Survey Report on DDOS Attacking Tools, Detection and Prevention MechanismsIRJET Journal
This document summarizes a survey report on DDOS attacking tools, detection mechanisms, and prevention methods. It begins by introducing DDOS attacks and their increasing prevalence. It then describes several common DDOS attacking tools like Trinoo and Shaft in detail, including their mechanisms and a comparison. It discusses two main detection mechanisms - Snort, an open-source intrusion detection system, and time series analysis. Finally, it outlines a DDOS prevention protocol called DLSR that detects attacks and identifies attackers in three phases: detection, identification, and defense.
1. A study of global internet traffic from 2009 to 2019 found that while total traffic volumes continue to grow significantly, the number of unique IP addresses and domains that account for the majority of traffic has shrunk considerably.
2. Changes in internet infrastructure like increased CDN usage and the rise of encrypted SSL traffic have impacted traffic patterns and made traffic engineering and security more challenging.
3. DDoS attacks have grown substantially larger than overall network growth, utilizing more diverse sources, and new mitigation techniques leveraging router capabilities are needed to address this evolving threat.
The document discusses sniffing and packet capture techniques used for ethical hacking. It defines sniffing as intercepting network traffic to steal passwords, emails, files and other sensitive data. It describes protocols vulnerable to sniffing like HTTP, SMTP, FTP etc. It covers tools for sniffing like Wireshark, tcpdump. It discusses active sniffing techniques like ARP spoofing using tools like Arpspoof, Ettercap and MAC flooding using Macof, Etherflood. It also covers DNS poisoning and tools in the dsniff package for sniffing passwords and files.
This document provides an overview of fast flux hosting and double flux attacks. It describes how these techniques:
1) Exploit botnets and compromised systems to rapidly change the IP addresses and domains associated with illegal websites and DNS servers, frustrating efforts to take down these systems.
2) Involve underground business relationships where malware authors, bot herders, and fast flux service operators work together to facilitate criminal activities like phishing through these techniques.
3) Recommends education and securing vulnerable systems as ways to reduce the number of compromised systems that can be used in these botnets and fast flux attacks.
The document provides information on various network defense tools. It begins by defining a computer network and listing common network types. It then discusses firewalls, describing them as software or hardware that checks incoming and outgoing information on a network. It lists the main types of firewalls as packet filters, application gateways, circuit gateways, and unified threat management. It provides details on each type, such as how packet filters use transport layer information to filter packets and how application gateways use proxies. The document also covers network address translation (NAT) and port forwarding.
This document discusses the growing threat of distributed denial of service (DDoS) attacks and strategies for mitigating them. It notes that DDoS attacks are increasing in size and sophistication, with some now reaching hundreds of gigabits per second. The document outlines different types of network layer and application layer DDoS attacks and examines methods that can be used to detect and prevent these attacks, such as packet anomaly checking, blacklisting, authentication, rate limiting, and protocol inspection. It also describes A10 Networks' Thunder TPS appliance for high-performance DDoS mitigation.
Enhancing the impregnability of linux serversIJNSA Journal
Worldwide IT industry is experiencing a rapid shift towards Service Oriented Architecture (SOA). As a
response to the current trend, all the IT firms are adopting business models such as cloud based services
which rely on reliable and highly available server platforms. Linux servers are known to be highly
secure. Network security thus becomes a major concern to all IT organizations offering cloud based
services. The fundamental form of attack on network security is Denial of Service. This paper focuses on
fortifying the Linux server defence mechanisms resulting in an increase in reliability and availability of
services offered by the Linux server platforms. To meet this emerging scenario, most of the organizations
are adopting business models such as cloud computing that are dependant on reliable server platforms.
Linux servers are well ahead of other server platforms in terms of security. This brings network security
to the forefront of major concerns to an organization. The most common form of attacks is a Denial of
Service attack. This paper focuses on mechanisms to detect and immunize Linux servers from DoS .
This document discusses network sniffing tools and techniques. It defines sniffing as capturing network traffic to steal passwords, emails, files and other sensitive data. Protocols like HTTP, SMTP, and FTP are vulnerable because they send data in clear text. Common sniffing tools discussed include Network View, The Dude Sniffer, Ethereal, and tcpdump. The document outlines two types of sniffing - passive sniffing where the sniffer does not disrupt traffic, and active sniffing using techniques like ARP spoofing to intercept traffic. Countermeasures to detect and prevent sniffing are also mentioned.
International Journal of Computational Science and Information Technology (I...ijcsity
Denial of Service (DoS) or Distributed-Denial of Service (DDoS) is major threat to network security.Network is collection of nodes that interconnect with each other for exchange the Information. This information is required for that node is kept confidentially. Attacker in network computer captures this information that is confidential and misuse the network. Hence security is one of the major issues. There are one or many attacks in network. One of the major threats to internet service is DDoS (Distributed denial of services) attack. DDoS attack is a malicious attempt to suspending or interrupting services to target node. DDoS or DoS is an attempt to make network resource or the machine is unavailable to its intended user. Many ideas are developed for avoiding the DDoS or DoS. DDoS happen in two ways
naturally or it may due to some botnets .Various schemes are developed defense against to this attack.Main idea of this paper is present basis of DDoS attack. DDoS attack types, DDoS attack components,survey on different mechanism to prevent DDoS.
Making Threat Management More ManageableIBM Security
With significant breaches of personal and corporate data being announced on a near-regular cadence, there is even more value in understanding both how the dynamic attack chain really works, and what tools your organization can use to disrupt it. From break-in to exfiltration, follow along step-by-step to understand how easy it is for attackers to infiltrate your network and steal sensitive data. Learn what technologies you can use to combat these threats and contain the impact of a breach, and determine what protection strategy you should encompass to make threat management more manageable.
View the full on-demand webcast:http://securityintelligence.com/events/making-threat-management-manageable/#.VMvYyPMo6Mp
Botnets are emerging as the most serious threat against cyber-security as they provide a distributed platform for several illegal activities such as launching distributed denial of service attacks against critical targets, malware dissemination, phishing, and click fraud. The defining characteristic of botnets is the use of command and control channels through which they can be updated and directed. Recently, botnet detection has been an interesting research topic related to cyber-threat and cyber-crime prevention. This paper is a survey of botnet and botnet detection. The survey clarifies botnet phenomenon and discusses botnet detection techniques. This survey classifies botnet detection techniques into four classes: signature-based, anomaly-based, DNS-based, and mining-base.
EuroBSDCon 2013 - Mitigating DDoS Attacks at Layer 7allanjude
Mitigating DDoS Attacks at Layer 7
The document discusses using a global server load balancer (GSLB) to localize and mitigate distributed denial of service (DDoS) attacks at layer 7. A GSLB can direct traffic away from data centers experiencing attacks based on the geographic source of traffic. It can also "sinkhole" traffic from specific regions to unroutable addresses. The GSLB integrates with GeoIP to classify attackers and adapt DNS responses. Business rules are needed to distinguish actual attacks from surges in legitimate traffic. Ongoing work includes improving attack detection and automatic blacklisting of source addresses.
Saurabh Singhvi is applying for a suitable position in the organization. He has a Bachelor's in Commerce from Jai Narayan Vyas University and postgraduate qualifications in finance, taxation, and business administration from Welingkar Institute of Management. He has appeared for and cleared the first group of the CS Final exam with the Institute of Company Secretaries of India. Currently he works as a senior executive with Mehta Singhvi & Associates Chartered Accountants. Previously he has worked with Shree Ram Colloids Private Limited and Mukta Arts Limited in finance and accounts roles. He has expertise in finance, accounts, taxation, auditing, and management.
Este documento presenta tres ejercicios contables relacionados con la contabilización de sucursales en moneda local. El primer ejercicio muestra las transacciones de una sucursal durante su primer año de operaciones y pide elaborar asientos contables, balance de comprobación de la sucursal y estados financieros consolidados. El segundo ejercicio es similar pero con un recargo aplicado a las mercancías enviadas a la sucursal. El tercer ejercicio proporciona datos financieros de una casa central y sucursal y pide partidas de cierre, ho
Muhammad Khurram Khan has over 15 years of experience in various industries. He has a MBA from Iqra University, and masters degrees in Environmental Science and Chemistry from Karachi University. His experience includes roles in business management, sales, marketing, finance, and research and development. He has worked for companies in chemicals, oil, and pharmaceuticals.
Este documento describe los diferentes tipos de rectas en el espacio, incluyendo rectas paralelas, horizontales, contenidas en el plano horizontal, frontales, contenidas en el plano vertical, de pie, de punta, cualquiera y de perfil. Define cada tipo de recta en base a su posición y orientación con respecto a los planos de proyección horizontal y vertical.
MPN Competency Windows and Devices for Technical (MPN16022)Sandro Figueiredo
Sandro Figueiredo completed an online training course through Microsoft Learning called "Windows and Devices for Technical" on June 22, 2016. The course covered competencies related to Windows and devices. Alison Cunard, the General Manager of Microsoft Learning, verified Sandro's completion of the course.
Intelligent home energy management system including renewable energy based on...eSAT Journals
Abstract As the numbers of large-sized electric home appliances are increasing, the home energy consumption is also increasing proportionally. To reduce the home energy cost, it is necessary to consider both energy consumption and generation. In this application intelligent home uses renewable energies. The problems of home energy management systems are solved by implementing energy saving method and renewable energy sources. Energy sources are connected to the grid via battery and inverter, the output of battery is connected to microcontroller. For displaying the battery voltage and availability of energy source microcontroller is connected to LCD. Some units will be consumed whenever load is connected, consumed units will be calculated with the help of microcontroller and it is displayed on the LCD. Keywords: Home Energy Management System, ZigBee, Renewable Energy, Power Line Communication, Microcontroller, Inverter.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
DDoS attacks work by using botnets to overwhelm a target site with large amounts of traffic, making it unavailable to legitimate users. They can have major business impacts by disrupting systems, damaging resources, and costing companies millions per day of downtime. While prevention is challenging due to distributed nature of attacks and internet, companies can mitigate risks by having adequate bandwidth, deploying DDoS defense systems, monitoring traffic, and creating incident response plans.
The document discusses DDoS attacks on cloud platforms and describes various types of DDoS attacks including volumetric, protocol, and application layer attacks. It explains how these attacks work on cloud platforms and their potential impacts. The document also outlines techniques for monitoring network traffic such as anomaly detection and signature-based detection to identify DDoS attacks. Incident response procedures and cloud-based DDoS mitigation services are also summarized.
PREVENTING DISTRIBUTED DENIAL OF SERVICE ATTACKS IN CLOUD ENVIRONMENTS IJITCA Journal
Distributed-Denial of Service (DDoS) is a key intimidation to network security. Network is a group of nodes that interrelate with each other for switch over the information. This information is necessary for that node is reserved confidentially. Attacker in the system may capture this private information and distorted. So security is the major issue. There are several security attacks in network. One of the major intimidations to internet examine is DDoS attack. It is a malevolent effort to suspending or suspends services to destination node. DDoS or DoS is an effort to create network resource or the machine is busy to
its intentional user. Numerous thoughts are developed for avoid the DDoS or DoS. DDoS occur in two different behaviors they may happen obviously or it may due to some attackers .Various schemes are developed defense against to this attack. The Main focus of paper is present basis of DDoS attack, DDoS
attack types, and DDoS attack components, intrusion prevention system for DDoS.
Abstract-Denial-of-Service attacks, a type of attack on a network that is designed to bring the network to its knees by flooding it with useless traffic. Many Dos attacks, such as the Ping of Death ,Teardrop attacks etc., exploit the limitations in the TCP/IP protocols. like viruses, new Dos attacks are constantly being dreamed up by hackers.So the users have to take own effort of a large number of protected system such as Firewall or up-to-date antivirus software. . If the system or links are affected from an attack then the legitimate clients may not be able to connect it.. This detection system is the next level of the security to protect the server from major problems occurs such as Dos attacks, Flood IP attacks, and also the Proxy Surfer. So these kinds of anonymous activities barred out by using this Concept.
Detection of Distributed Denial of Service Attacksijdmtaiir
Denial-of-Service attacks, a type of attack on
a network that is designed to bring the network to its knees by
flooding it with useless traffic. Many Dos attacks, such as
the Ping of Death ,Teardrop attacks etc., exploit the limitations
in the TCP/IP protocols. like viruses, new Dos attacks are
constantly being dreamed up by hackers.So the users have to
take own effort of a large number of protected system such as
Firewall or up-to-date antivirus software. . If the system or
links are affected from an attack then the legitimate clients may
not be able to connect it.. This detection system is the next
level of the security to protect the server from major problems
occurs such as Dos attacks, Flood IP attacks, and also the
Proxy Surfer. So these kinds of anonymous activities barred
out by using this Concept
This document discusses denial of service (DoS) attacks at different layers of the TCP/IP model. It begins with an introduction to DoS attacks and some common types like ping of death, smurf, buffer overflow, teardrop, and SYN attacks. It then examines DoS attacks at each layer of the TCP/IP model: physical layer attacks target devices and media; data link layer attacks include MAC spoofing and DHCP starvation; network layer attacks involve IP spoofing, RIP attacks, and ICMP flooding; transport layer attacks focus on session hijacking; and application layer attacks include HTTP flooding. The document reviews several research papers on detecting and preventing DoS attacks at different layers using methods like machine learning algorithms.
WebRTC introduces new security considerations for real-time communications. The document discusses various VoIP attacks that could impact WebRTC like denial of service, fraud, and illegal interception. It also examines vulnerabilities from accessing devices, signaling sent in plain text, and cross protocol attacks. The presentation recommends using TLS for signaling, getting user permission for devices, DTLS-SRTP for media encryption, and identity management through providers. Integrating WebRTC with IMS can leverage the authentication of IMS subscriptions for web credentials.
- VoIP attacks Denial of service. Fraud. Illegal interception. Illegal control.
- Adhoc WebRTC attacks: malicious HTML code. Webservers. Forced DoS. Cam/mic control. Etc.
- Protection: Role of border elements (SBC, media gateways,...). WebRTC Portal and web servers. Browser mechanisms
- Identity Management: Anonymous calls. OpenID and third parties. Telco identity. Real implementations
A ROBUST MECHANISM FOR DEFENDING DISTRIBUTED DENIAL OF SERVICE ATTACKS ON WEB...IJNSA Journal
Distributed Denial of Service (DDoS) attacks have emerged as a popular means of causing mass targeted service disruptions, often for extended periods of time. The relative ease and low costs of launching such attacks, supplemented by the current inadequate sate of any viable defense mechanism, have made them one of the top threats to the Internet community today. Since the increasing popularity of web-based applications has led to several critical services being provided over the Internet, it is imperative to monitor the network traffic so as to prevent malicious attackers from depleting the resources of the network and denying services to legitimate users. This paper first presents a brief discussion on some of the important types of DDoS attacks that currently exist and some existing mechanisms to combat these attacks. It then points out the major drawbacks of the currently existing defense mechanisms and proposes a new mechanism for protecting a web-server against a DDoS attack. In the proposed mechanism, incoming traffic to the server is continuously monitored and any abnormal rise in the inbound traffic is immediately detected. The detection algorithm is based on a statistical analysis of the inbound traffic on the server and a robust hypothesis testing framework. While the detection process is on, the sessions from the legitimate sources are not disrupted and the load on the server is restored to the normal level by blocking the traffic from the attacking sources. To cater to different scenarios, the detection algorithm has various modules with varying level of computational and memory overheads for
their execution. While the approximate modules are fast in detection and involve less overhead, they provide lower level of detection accuracy. The accurate modules employ complex detection logic and hence involve more overhead for their execution. However, they have very high detection accuracy. Simulations carried out on the proposed mechanism have produced results that demonstrate effectiveness of the proposed defense mechanism against DDoS attacks.
IRJET- DDOS Detection System using C4.5 Decision Tree AlgorithmIRJET Journal
This document proposes a machine learning model using the C4.5 decision tree algorithm to detect DDOS attacks. It trains the model on DDOS attack samples from the CICIDS2017 dataset, dividing the samples into training and test data. The Weka data mining tool is used to build the model with attribute filtering and 10-fold cross-validation. The trained model is then validated on the test data to accurately differentiate between benign and DDOS flooding traffic. This combined signature-based and anomaly-based detection approach can effectively detect complex DDOS attacks.
The document discusses distributed denial of service (DDoS) attacks, including how they work, common tools and methods used, and examples of recent large-scale DDoS attacks. It provides details on how botnets are used to overwhelm websites and infrastructure with malicious traffic. Specific DDoS attack types like UDP floods, SYN floods, and reflection attacks are outlined. Recent large attacks are described, such as those targeting bitcoin exchanges, social trading platforms, and Hong Kong voting sites ahead of a civil referendum.
This document provides an overview of distributed denial of service (DDoS) attacks including:
- Common types of DDoS attacks like UDP floods, SYN floods, DNS floods and HTTP floods and how they work to overwhelm servers.
- How DDoS attacks are evolving to larger sizes and more complex botnets.
- Methods for mitigating DDoS attacks including black hole routing, rate limiting, web application firewalls, anycast networks and cloud-based DDoS protection services.
- A real example of mitigating a massive 400Gbps DDoS attack and the largest attacks seen to date.
Conferencia de Santiago Troncoso expuesta en la última edición de VoIP2DAY en la que nos explica cómo WebRTC hereda todas las amenazas de los servicios VoIP tradicionales junto con los ataques web existentes y nos da algunas claves sobre cómo mantener la seguridad de los servicios.
VOIP2DAY 2015: "WebRTC security concerns, a real problem?"Quobis
WebRTC inherits all the threats of traditional VoIP services together with existing web attacks. In this session Antón Román will explain this together with ad-hoc WebRTC attacks and ways to deal with Identity and keep the services secure.
- VoIP attacks Denial of service. Fraud. Illegal interception. Illegal control.
- Adhoc WebRTC attacks: malicious HTML code. Webservers. Forced DoS. Cam/mic control. Etc.
- Protection: Role of border elements (SBC, media gateways,...). WebRTC Portal and web servers. Browser mechanisms
- Identity Management: Anonymous calls. OpenID and third parties. Telco identity. Real implementations
Presentation by Charl van der Walt at INFO SEC Africa 2001.
The presentation begins with a case study of a DoS attack launched on a number of high profile sites by the canadian teen "Mafiaboy". An explanation of DoS and DDoS given. The impact of DDoS in South Africa is also discussed. The presentation ends with a series of discussions on DDoS countermeasures.
This document contains the answers to 10 short questions related to cloud computing topics. It defines computer viruses, worms, and Trojan horses. It discusses network protocols like FTP, HTTPS, and others used in cloud computing. It explains denial of service (DoS) attacks, resource management in cloud computing, differences between HTTP and HTTPS, scheduling in cloud computing, differences between authentication and authorization, data encryption techniques, what SSL is, and what an identity management system is and how it is helpful in cloud computing.
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.
An approach to mitigate DDoS attacks on SIP.pptxamalouwarda1
This document proposes an approach to mitigate distributed denial of service (DDoS) attacks on voice over internet protocol (VoIP) systems. It discusses common VoIP attacks like eavesdropping, reconnaissance, and DDoS attacks. The proposed system would use Suricata as an intrusion detection and prevention system to analyze VoIP traffic, detect attacks, and trigger mitigation responses. It recommends configuring call limits, updating device firmware, and using a buffer server to filter traffic as countermeasures against DDoS attacks on SIP-based VoIP networks.
1. Hemant Jain, VP of Engineering
Sichao Wang, Director of Product Management
April 2012, Fortinet, Inc
A Primer for Distributed Denial of Service
(DDoS) Attacks
2. A Primer for Distributed Denial of Service PAGE 2
Defining DDOS
A DDoS attack is an attempted activity to exhaust the resources available to a network, application or service such that
legitimate users are denied for access. The DDoS attack can be originated by a group of malware-infected or
volunteered client computers that attempt to overwhelm network bandwidths, server or storage capacities of the targeted
victim’s network operation environment.
Only a few years back, it was common to use spoofing techniques (SMURF, Ping and SYN flood) where a hacker would
actually use very few machines (or just one machine) and spoof multiple IP addresses. To the attacked destination it
would seem that the attack is coming from multiple IP addresses.
However in the recent years, hackers and attackers are increasingly sophisticated and they use a combined of
volumetric and application layer attacking techniques. With the advent of infected PCs, increasing number of smart
mobile phones, attacking tools easily enable attackers recruit botnets around the world. Through botmaster command
and control (C&C) panel, these bots can be used to launch alarmingly damaging DDoS attacks.
FortiDDoS
Web Hosting Center
Firewall
Good Traffic
Attacking Traffic
ISP 1
ISP 2
Figure 1: Illustration of Attacking Traffic from Multiple ISPs
Motivations of Attacks
DDoS attacks are launched generally for three broad motivations:
• Political. The attackers desire to silence you since your political or religious values are different from theirs.
Operation Payback, operated by the clandestine group known as "Anonymous", has launched multi gbps cyber
attacks against companies that have pulled their support for WikiLeaks. Among the institutions targeted by
Operation Payback are PayPal, MasterCard, and Swiss bank PostFinance. The PayPal Blog eventually
backed up after 75 service interruptions and 8 hours 15 minutes of total downtime.
• Financial. Attacks against e-commerce and retailers are often for exchange of electronic fund transfers to
offshore account.
• Retaliation. In 2010, gamer players figured out a way to break into Sony PlayStation 3 console and use it to
run a third-party application. In early 2011 Sony then issued an update for the gaming console that shored up
its hardware defenses. That had angered many of the sophisticated users and resulted in retaliation style
attack again Sony Playstation that brought down the worldwide service for several days.
3. A Primer for Distributed Denial of Service PAGE 3
Virus Infections, Botnets and Distributed Attack Tools
Millions of new users join the Internet daily. These are in the far-flung corners of the world. If you are reading this primer, you are savvy -
but they are not. If they get an enticing email from someone, they open it and their machine now has bot code which can be remotely
controlled by botmasters. Millions of such machines around the world are under control of bot-herds who buy, sell and rent them for
monetary gains. Some foreign governments are also known to control them for possible cyber-warfare.
Figure 2: An Example of Botmaster Control Panel
The above pictures shows a bot-controller that can be easily used to launch a DDoS attack sitting somewhere using bots recruited
around the world. The renter uses this software after paying the rent. She can simply enter the URL of the target site to be attacked and
choose the type of the attack and launch the attacks including a blended attack. This program controls the bots on the Internet.
Following is another example of another bot controller panel. As you can see the panel consists of a display of available bots in different
countries and ability to launch different tasks through the bots.
4. A Primer for Distributed Denial of Service PAGE 4
Figure 3: An Example of Botmaster Control Panel
Another picture below shows ability of the bot-master to upload new functionality into the botnet and update the bots remotely and have
an ability to remotely see the status of the bots.
Figure 4: An example that bots are updated with new intelligence
5. A Primer for Distributed Denial of Service PAGE 5
Most Common Current Generation DDoS Attacks
There are many kinds of legacy and current generation attacks that are prevalent today. SYN flood and HTTP GET floods being the most
common. They are targeted to fill in the network connection pipes or overload the servers behind firewalls and IPS devices.
• SYN Flood
Spoofed SYN Packets fill the connection table of servers, and all other devices in your network path. Low volume SYN flood
can be easily stopped by software firewalls. High bandwidth SYN floods needs faster hardware logic with SYN proxy capability.
• Zombie Flood
In zombie or botnet floods, non-spoofed connections overload the services. The attacking IPs are able to do three way
handshakes. These are difficult to stop unless you have behavioral mitigation. High bandwidth zombie floods needs
specialized hardware logic for discriminating legitimate traffic within zombie flood.
• ICMP Flood
In these floods, ICMP packets, such as those used for ping, overload the servers and the network pipe. Low volume ICMP
flood can be easily stopped by ACLs on routers and switches. High bandwidth ICMP floods needs specialized equipment.
• TCP/UDP Port Flood
In these floods, TCP/UDP packets overload the servers and the pipe on ports not being used for service, e.g. TCP port 81.
Low volume port floods on non-service ports are easily stopped by ACLs. Higher volume needs specialized equipment for
automatic detection and mitigation unless you have totally blocked all non-service ports by default. Sites that use services such
as FTP or IRC that use dynamic ports need to be careful with the stateful traffic on the dynamic ports.
Most large attacks that are multi Gbps involve UDP floods because they are easy to generate by spoofing IPs.
When packets overload the servers and the pipe on service ports, e.g. TCP port 80, Firewall, switches, routers, IPS appliances
cannot stop these attacks. In these cases, you need specialized equipment for discrimination.
• Fragment Flood
In these floods, fragmented packets overload the servers. Many firewalls, switches, routers cannot stop these attacks unless
they have rule sets for dropping fragmented packets. Sometimes you may need specialized equipment.
• Anomalous Packet Flood
Hackers create most floods with scripts. Sometimes deliberately and sometimes due to errors in scripts, packets are
anomalous. These anomalies may be headers at layer 3, 4 or 7. They may be in TCP or UDP states or protocols. These
packets overload the CPU of the servers and other networking equipment on the way. Some firewalls, and IPS appliances can
stop these attacks. Specialized equipment for DDoS easily stop these attacks.
• HTTP GET Flood
These attacks involved connection-oriented bots overload the servers and the pipe on service ports, e.g. on HTTP, mimicking
legitimate users. Since firewalls, switches, routers, IPS appliances don't have behavioral anomaly prevention, they cannot stop
these attacks. Therefore you need specialized equipment to stop these attacks.
• Blended Attacks
6. A Primer for Distributed Denial of Service PAGE 6
When multiple types of above attacks are blended on the server, they confuse the conventional equipment further. Firewall,
switches, routers, IPS appliances cannot stop these attacks. You need specialized equipment to stop these attacks
• Floods from Unwanted Geographical Areas
These are very common. For example, you have most of your customers in China and you are getting too many packets from
Russia. Such floods are easy to stop with simple access control lists in Anti-DDoS equipment or in switches or routers before
the network.
FortiDDoS leverages its patented techniques to accurately discover all these common attacks based on traffic patterns that FortiDDoS
builds during of the course of operations. The technology is automatic and does not require signature updates.
Application Layer DDoS Attacks
Application-layer attacks use far more sophisticated mechanisms to achieve the goals of the hacker. Rather than flooding a network with
traffic or sessions, application-layer attacks target specific applications/services and slowly exhaust resources at the application layer.
Application-layer attacks can be very effective at low traffic rates, and the traffic involved in the attacks can be legitimate from a protocol
perspective. This makes application-layer attacks harder to detect than other DDoS attack types. HTTP Flood, DNS dictionary, Slowloris,
etc., are examples of application-layer attacks.
FortiDDoS Firewall
Good Traffic
Attacking Traffic with Low Data Rate
ISP 1
ISP 2
Low bandwidth
slow
connections
Web Hosting Center
Figure 5: Attacks utilizing low bandwidth to evade detection
FortiDDoS is designed with sophisticated connection aging algorithm to discover the application level attacks such as Slowloris that aims
to slowly exhaust the system resource. FortiDDoS communicates with server sides to reset the TCP connections when such application
layer attack is detected.
Myths and Realities About DDoS Attacks
• Most Network and Security Operations engineers only hear about DDoS attacks happening to others. They think that they
don’t have enemies. In reality, their perceptions of risk factors and susceptibility are most often misplaced. If you have a web
presence, you can be attacked easily – sometimes even by mistake.
7. A Primer for Distributed Denial of Service PAGE 7
• Many engineers think that they can custom compile kernel, set some options in Apache, install mod_dosevasive and DDoS
attacks can be taken care of. In Reality, most servers do not have the capacity to handle DDoS attacks. Under most average
sized DDoS attacks, your server CPUs will be too overloaded to give Apache modules a chance.
• Another myth that exists is that simple iptables commands can block DDoS attacks. In reality, NetFilter/iptables can block very
tiny attacks and tiny percentage of DDoS attacks. Real DDoS attacks require specialized equipment because the CPU running
iptables will be too busy handling attack packets.
• Many Network and Security Operations engineers think that their webhosts will take care of DDoS attacks. Many webhosts are
happy to just null-route an attacked IP domain unless they have specialized equipment. Many webhosts do not have the skills
to manually isolate issues - unless they specially advertise such capability.
• Some think that their ISPs, to whom their webhosting data center is connected to, cooperate under attack and they can find the
source of the attack. Most ISPs are too busy. They have strict and bureaucratic processes to reach each other. Typical
response time for ISPs are in days if not in hours – whereas you want the solution NOW!!
• It is also easy to think that under attack, we can report to law enforcement to solve the problem. In reality, most law
enforcement departments will not bother about needle in hay-stack attacks – for them that’s what most attacks are. Unless you
are important and the attacks are in multiple 10s of Gigabits per second, don’t waste their time and yours.
• You may also think that you can determine that ACLs for your routers and switches to block the attacks. DDoS attacks are
moving targets. The hackers are smart, their tools are smarter and techniques are sophisticated.
• Another myth that surrounds DDoS attacks are filled pipes. Many wonder if there is any point in buying any specialized Anti-
DDoS equipment. Without the DDoS mitigation equipment, your servers will be thoroughly exposed to even the most ordinary
attacks.
Anti-DDOS Appliances
There are primarily following categories of appliances in the market for DDoS mitigation:
1. Carrier DDoS mitigation solutions
o These solutions are useful for global networks and carriers and ISPs.
o They employ IP flow-based and deep packet inspection technologies, and protect entire networks consisting of
multiple routers and switches and services behind them.
o These solutions are too expensive for individual IDCs, webhosts or web properties.
o These solutions have been designed around early 2000 and therefore are not keeping up with the current generation
of DDoS attacks which involve botnets that mimic legitimate clients.
o These solutions work very well at global level and the residual attacks from such solutions may be too much for an
individual web property which in turn may have to employ a solution such as 2 below.
2. Custom Logic (ASIC) based Internet Data Center (IDC), Web hosting and Web Property DDoS Mitigation Solutions
o These solutions are useful for large IDCs, large web hosts and large web properties.
o They work to protect one or several Internet links.
o The behavioral solutions are implemented in custom hardware logic and provide line rate performance for large
attacks.
o FortiDDoS has one such solution.
o These solutions are cost-effective and effective for IDCs, webhosts and web properties.
3. Software based Web Property DDoS Mitigation Solutions
o These solutions are useful for smaller web properties with very minimal traffic.
o The behavioral solutions are implemented in off-the-shelf CPUs and have issues at large attack traffic volumes in
terms of keeping up.
o Some appliances have IPS functionality implemented in hardware but have their DDoS mitigation logic in software
and suffer from the same issues.
8. A Primer for Distributed Denial of Service PAGE 8
Choosing Your DDoS Protection Devices
• Latest Technology
The hackers are pretty up-to-date on techniques. If your DDoS mitigation appliance is built around technology that was
developed several years ago, it won't help you much as most of the current generation attacks would pass through.
• Centralized monitoring
Look for appliances that allow you to centrally monitor all DDoS events and traffic in your network. You can use SNMP, Cacti,
MRTG to monitor traffic and attack levels and attack events. You can configure Syslog to get all attack events on a centralized
server as well.
• Visibility into normal network traffic patterns
Look for appliances that allow you to get extremely granular visibility into your network traffic. Typically you should look for a 12
month round robin view of what normal traffic looks like and incorporate this information into a correlation engine for threat
detection, alerts, and reporting.
• Alerting Mechanisms
Look for appliances that give you a threshold based alerting mechanism for DDoS specific events. You can set threshold for
different people to get alerts depending on the quantum of attack. You should be able to query a database for Top Attacks, Top
Attackers, Top Attacked Destination, etc. You should be able to create custom queries in your custom applications/reports.
• Filtering Mechanisms to Reduce False Positives
Look for appliances that filter traffic in different network layers as they inspect incoming packets using dynamic profiling (based
on monitoring and analysis of normal behavior), anti-spoofing algorithms, and other technology to progressively filter harmful
traffic upstream of the network.
• Low Latency
Latency, in this context, is the amount of time it takes a packet to go through an appliance. Look for appliances that don't affect
your mission critical traffic by adding additional significant latency. Most switches and routers have low latency in the range of a
<50 microseconds. The anti-DDoS equipment should maintain similar latency levels. This latency should be maintained even
during attacks.
• Hardware Logic for Anti-DDoS
These days it is common for a $100 home router to claim that it has DDoS attack mitigation capability. Such claims have to
withstand third party tests and real life. It is also easy to build Intel CPU based appliance running Linux with some behavioral
capability built-in to claim anti-DDoS features. Many IPS appliances have IPS in hardware logic but anti-DDoS capability in
software. Such appliances cannot handle attacks beyond a certain Mbps.
Look for custom DDoS mitigation logic implemented in hardware as that alone can withstand large DDoS attacks. A granular
approach to DDoS mitigation selectively mitigates attacks at highest possible layer so that attacks are stopped at most specific
layer. This reduces the false positives.
Ability to monitor a large number of ports, sources, destinations, connections etc. helps in proper identification of attacks and
attackers.
9. A Primer for Distributed Denial of Service PAGE 9
• Bypass and Redundancy
Look for internal or external bypass capability that ensures that your network traffic continues even if the appliance fails. For
multiple links, look for ability to cross connect appliances in a fail-over configuration. In addition, look for asymmetric traffic
support because you may have traffic coming from one link and going through another.
• Extensible Architecture
Anti-DDoS equipment must grow with your business. Look for appliances that have such capability to grow through licenses.
• Third Party Validation
Look for third party validation for a solution you choose. That will mitigate some risks of your inability to actually do a test in
your own labs.
FortiDDoS - Ideal DDoS Protection
Feature Benefits
ASIC Assisted Threat
Detection and Mitigation
High throughput and reliable DDOS threat detection and
mitigation.
Network Virtualization Attack on one customer does not impact other customers.
Flexible and business priority aligned. Achieves optimal TCO for
customers
Automatic traffic baseline
model building
Requires almost no end user intervention and achieves more
accurate threat detection through multi-layer profiling
Easy to Deploy Very little human intervention is required
No network topology or configuration change is needed.
Microfine Granularity Monitor and report traffic granularly at layer 3, 4 and 7. Real-
time and historic attacking traffic analysis. Comprehensive
reports for top attacks, top sources and top attackers
Virtual Network Partitions
FortiDDoS supports up to 8 discretely managed servers, subnets or networks into different policy domains using IP
addresses/masks providing a second level of granular protection to your network. This feature is not only beneficial in
supporting multiple layers of defense but also is a cost containment and administration-friendly feature for organizations
that have multiple business entities to protect, and that need unique policies for each.
Virtual instances can also be effectively used in defense escalation. Rather than have a single set of policies, multiple
sets can be defined in advance, such that the organization can apply a more stringent set of policies if the preceding
policies were inadequate.
10. A Primer for Distributed Denial of Service PAGE 10
Ease of Deployments
Because much of the complexities are handled by the ASIC hardware, and good baseline traffic models are built
automatically through the continuous learning process, very little human intervention is required and best of all - no
network topology or configuration change is needed.
Microfine Granularity and Accurate Detection
FortiDDoS offers microfine granularity on defining traffic patterns by using counters at different layers. Relying on its
automatic ability on building a complex and detailed legitimate traffic model, FortiDDoS provides fast and accurate
detection of sophisticated attacks that attempt to mimic legitimate traffic.
Conclusion
DDoS attacks are on the rise. The potential threats and volumes are increasing as more machines including mobile devices join the
Internet. If you have a web property, the likelihood of your getting attacked is real. It is prudent to plan protection of the infrastructure
rather than wait for the attacks to strike.
For more details on DDOS or FortiDDoS, please visit us at http://www.fortinet.com.