Simulation and analysis of DoS attack in cloud environment

The evolution of internet results in the emergence of online communities. Numerous communities exist today with millions of users. Security, privacy and availability are the top constraints to be focussed in online communities. Among the other security violations, denial of service (DoS) ranks first as it disrupts the availability of services. DoS attack is reported in a popular virtual world, Second Life which made the complete portal inaccessible to legitimate users. As TCP-SYN is the more prevalent attack strategy of DoS, our solution is aimed to provide efficient detection of DoS in the Second Life community. Detection and differentiation of attack traffic from the legitimate is achieved through simple network management protocol (SNMP) and machine learning algorithms. In spite of the 'n' number of solutions, an efficient outperforming strategy with accurate attack detection is the critical requirement. This paper focuses on the DoS attack detection, classification using SNMP MIB variables and linear regression model. Experimental observation proves the detection accuracy of the method under DoS.

The development of Cloud Computing is growing and becoming a trend that is widely used in the world of telecommunications today. In education, cloud computing becomes something that is needed to support the teaching and learning process. We analyze and design the network infrastructure in schools to implement cloud computing in local area schools. Then we built a system to create a server for cloud computing that can be accessed through the wired network and wireless network. Once the server cloud computing is installed and then we test functions such as uploading and downloading files whether to run well. The next step is to perform the test by doing DOS (Denial Of Service). The results show when no server DoS attack goes well with a large throughput. However, after the DoS attacks decreased throughput value and the greater the number of attacks is increasingly reducing the throughput of the server cloud. This shows that Cloud Server that have been built are still vulnerable to DoS attacks.

Denial of Service (DOS) attacks are a major threat faced by all types of networks. The effect of DOS in a delay tolerant network (DTN) is even more aggravated due to the scarcity of resources. Perpetrators of DOS attacks in DTN-like environments look beyond the objective of rendering a target node useless. The aim of an attacker is to cause a network-wide degradation of resources, service and performance. This can easily be achieved by exhausting node or link resources and partitioning the network. In this paper we seek to provide a proactive approach in making the DTN authentication process robust against DOS. Our aim is to make security protocols which provide mandatory DTN security services resilient to DOS attacks. The overall objective is to make it hard to launch a DOS attack and ensure the availability of DTN services. A DTN-cookie mechanism has been proposed to quickly identify and filter out illegitimate traffic.

In WSN, DoS (denial of service) attack makes shortcoming system. The packets travel over and over in the sensor network. By that, all the assets like data transmission, memory, and vitality are squandered by this attack. However, the attacker ought to optimize its attacker plan for request to boost the impact on the system performance because of the deficiency of vitality at the aggressor side. Denial of service (DoS) attack on the Internet has become a squeezing issue. By staying away from these sorts of attacks, network performance can be improved. Therefore, security is a fundamental requirement for these networks. Effective routing is necessary in order to overcome the issued faced by the crosslayer in the DOS attack of the WSN network for the purpose of good transmission. This research work mainly focuses on performance evaluation using optimization methods. To establish the efficient path in the crosslayer against DoS attack, this paper has proposed enhanced lion optimization with an efficient path routing equalization technique (LOEPRE). If any failure node occurs in the network, then the node is recognized and the transfer of the data packet is done to the other node. Retransmission of data causes overload in the network. The proposed model focuses on these issues and overcomes these issues by improving the path efficiently with robust security. It consists of three phases: the initial phase includes the route discovery in the network. In the second phase, the transfer of data is done in the high router path for security purposes. Finally, the efficient path routing equalization technique is used for minimizing the overload in the network; it provides the equalized path length in the network and is highly efficient. Hence, the proposed LOEPRE technique is used to achieve energy efficiency in wireless network for prolonged network lifetime and minimum packet latency and minimize consumption of energy. Moreover, the simulation outcome of the proposed LOEPRE method is highly robust while comparing to the existing methods EFCRS, SSPRA ELOER, EFLOR, and TSTP. It achieves better performance than existing algorithms in comparing metric connectivity ratio, end-to-end delay, overhead, throughput, and packet delivery ratio.

Power system structure optimization based on reinforcement learning and sparse constraints under DoS attacks in cloud environments

This chapter focuses on the very serious problem of denial of service (DoS) attacks against computer systems and networks. DoS attacks are attacks designed to disrupt, overwhelm, and/or damage computing resources and data. These attacks are aimed not against confidentiality of data or integrity of systems and data, but rather against availability of systems and data. Attackers launch DoS attacks for a wide variety of reasons. The probability of success is high, due in large part to the fact that the Internet itself has not been designed for security. The cost of DoS attacks is often high—several well‐known attacks have reportedly cost organizations billions of dollars. Many types of DoS attacks have surfaced so far, including resource starvation attacks, buffer overflow attacks, and packet fragmentation attacks. Distributed denial of service (DDoS) attacks, attacks in which programs planted in multiple systems cooperate, represent an even higher level of threat. Preventing DoS attacks is difficult in the first place due to a plethora of reasons; limiting the potential for damage and disruption is often the most cost‐effective strategy. Hot sites, cold sites, use of uninterruptible power supplies (UPSs) and Redundant Array of Independent Drives (RAID) solutions, and other measures can limit the damage from DoS attacks. Using properly configured and maintained firewalls is one of the best single prevention measures. Additionally, using packet filters on systems, keeping up with patches, limiting services that run on these systems, and using other measures go a long way in helping prevent susceptibility to DoS attacks.

To measure the degree of basic service of wireless sensor network (WSN) with denial of service (DoS) attacks, it is necessary to evaluate survivability of WSN. This paper presents new method based on services and Markov Chain. It distinguishes services, analyzes influence of services under DoS attacks, gets the formula of survivability. Probability of states is obtained by markov chain, then the quantitve survivability is getted in different states. Simulations prove that DoS attacks obviously decrease the survivability of WSN, but adding node energy and improving node density in certain range can reduce the influence of DoS attacks.

Denial of Service (DoS) or Distributed Denial of Service (DDoS) is a powerful attack which prevents the system from providing services to its legitimate users. Several approaches exist to filter network-level attacks, but application-level attacks are harder to detect at the firewall. Filtering at application level can be computationally expensive and difficult to scale, while still creating bogus positives that block legitimate users. In this paper, authors show application layer DoS attack for SIP server using some open source DoS attack tools and also suggest a mechanism that can protect a given SIP server from application-level DoS attacks especially the attacks targeting the resources including CPU, sockets, memory of the victim server. In this paper author’s attempt to illustrate application layer distributed denial of Service (DDoS) attack on SIP Server such as SIP flooding attack, real time transport (RTP) flooding attack using open source DDoS attack tools. We propose a new DDoS defence mechanism that protects SIP servers from application-level DDoS attacks based on the two methodologies: IPtables and fail2ban detection. The attack flow detection mechanism detects attach flows based on the symptom or stress at the server, since it is getting more difficult to identify bad flows only based on the incoming traffic patterns. A popular software known as Wireshark which is a network protocol analyzer is used to capture the packets during DoS attack from the victim server Ethernet interface to detect the attacking host IP address and analysis the types of attack. We evaluate the performance of the proposed scheme via experiment

In ad-hoc and wireless networks, Denial of Service (DoS) attacks has always been problematic during data routing. DoS attacks disrupt the data routing and avert the generated data to reach the destination or the sink nodes. In tunnel attack, which is one of the type of DoS attacks, the intruder attracts all the traffic towards itself and prevent it from forwarding further to the neighboring nodes. Researchers have presented multiple solutions to cater the problem and minimize or avoid the tunnel attacks, but they all have their shortcomings. The main reason behind all the drawbacks is that those solutions have not been confirmed using formal methods. The formal methods can be utilized to authenticate whether or not the solutions are immune to DoS attacks. In our previous researches, it has been revealed that by employing formal methods, our newly developed protocol RAEED can detect and avoid many DoS attacks. In this research paper, it has been proved using model checker that RAEED can efficiently avoid both simple and intelligent tunnel attacks. Moreover, the results of formal methods have been confirmed with the help of computer simulations as well as practical implementation on MicaZ motes. In future we aim to employ formal methods to verify more wireless communication issues in multiple protocols.

The adaptive control of bilateral teleoperation system under denial of service (DoS) attacks is studied in this letter. The model of bilateral teleoperation system under DoS attacks is presented. The adaptive controllers are designed to deal with the influence of data missing caused by packet dropouts and DoS attacks. Two Bernoulli distributed variables are introduced to describe the system dynamic for the case that both packet dropouts and DoS attacks are involved in the communication channels. The globally asymptotically stability criterion is proposed by using Lyapunov functional methods, which implies the dynamics of the Master and the Slave are globally asymptotically synchronized. A numerical example of two degree of freedom bilateral teleoperation system is provided to show the effectiveness of obtained results.

The Internet of Things (IoT) is becoming an increasingly growing topic. IoT encompasses everything connected to the internet. IoT requires multi-facet security solutions where the communication is secured with confidentiality, integrity, and service availability. However, IoT Sensor Node has the requirement to minimize power usage and computational power due to the requirement to be miniature. Therefore, the challenge of implementing security in the IoT Sensor Node must be addressed. Even if the IoT Sensor Node is protected with encryption and authentication, the protection is not comprehensive to sustain a Denial of Service (DoS) attack. The DoS attack is considered one of the security threats that may affect IoT network's quality service and reduce IoT Sensor Node's lifespan. Hence, mitigation shall be needed to secure IoT Sensor Node. This paper aims to propose a lightweight Denial of Service (DoS) Detection Systems algorithm to secure IoT Sensor Node. The approach uses data from previous experiments and translated it to develop mitigation to secure IoT Sensor Node, thus increasing IoT Sensor Node's lifespan.

Denial of Service (DoS) attack is one of the most common network attacks on network in the present. Usually DoS attack is often executed in fraudulent way, so they have the characteristic of fraudulence and danger. A new method of DoS intrusion detection based on the immune danger theory is presented in the paper, according to the characteristic of DoS intrusion. In the method, a definition of danger signal with a formula of computing it quantificationally is presented. And the method is tested by experiment in which DoS intrusion is detected in the real-time way. The results of the experiment show that the method can not only detect DoS intrusion in the real-time way, but also have the advantage of working with less false positive rate and with faster response. It is an effective method for DoS intrusion detection.

Wireless Voice over IP (WVoIP) has been popular in many important voice communication areas such as home, office, battle field and earthquake or disaster relief. Quality of Service (QoS) and security are two important issues which determine the success of WVoIP. Compared with QoS issues, security issues of WVoIP are rarely addressed. Denial of Service (DoS) attacks are major security issues for WVoIP, which not only degrade voice call quality, but also disconnect active calls and prevent making new calls. In this paper, we extensively study WVoIP performances under two DoS attacks of Authentication Request Flooding (AuthRF) and Association Request Flooding (AssRF). One major contribution of this paper is that we propose and demonstrate solutions to resolve DoS attacks on WVoIP. Another contribution is an experimental framework to emulate the DoS attacking process and to study its effects on WVoIP.

Software Defined Networking (SDN) is a paradigm for the networks, where the control planes and data planes are separated. It provides centralized network control by separating the network’s control logic from the underlying hardware devices. However, like traditional networks SDN is also susceptible to Denial of Service (DoS) and Distributed Denial of Service (DDoS) attacks. This paper aims to detect and mitigate DoS and DDoS attacks in an SDN environment using an entropy-based approach. The proposed mechanism calculates the entropy of the network over the collected traffic, and derives a dynamic threshold according to the network traffic conditions to determine whether the environment is subject to DoS or DDoS attacks. In the event of the attack, the proposed mechanism installs a drop flow rule into underlying forwarding devices, discarding the traffic sent from attacking host to victim host

Denial of service (DoS) attacks are major threat against availability in the Internet. A large number of countermeasure techniques try to detect attack and then filter out DoS attack packets. Unfortunately these techniques that filter DoS traffic by looking at known attack patterns or statistical anomalies in the traffic patterns can be defeated by changing the attack patterns and masking the anomalies that are sought by the filter. Hence, detecting DoS traffic is one of the main challenges for filtering techniques. Furthermore techniques that drop any malicious packet need to process the packet and processing is time-consuming. This paper addresses how an efficient and good filter can be designed by helping an overlay network layer to mitigate DoS attacks. Fosel (filtering by helping an overlay security layer) filter is independent from DoS attack types, so we do not worry about the changing attack patterns. Furthermore it reduces processing time noticeably. Through simulation this paper shows by employing Fosel filter, DoS attacks have a negligible chance to saturate the target by malicious packets. Our simulation demonstrates that Fosel architecture reduces the probability of successful attack to minuscule levels. Furthermore Fosel is between 10% and 50% faster than SOS (secure overlay services) (Keromytis et al., 2002) architecture to drop malicious packets based on attack rate.