We propose a generic bot detection system for an endpoint host. It classifies destinations contacted by the host as benign or malicious by looking at the traffic generated by the host. The system is based on the assumption that user activity on an endpoint host takes place at random times and hence the traffic generated due to user activity, which we call user-induced traffic, shows random behavior. Bot C&C traffic, on the other hand, is programmed at the time of its coding or configuration and is expected to show regularity in behavior. This difference is behavior is captured using three features extracted from traffic – timegap between flows to a destination, numbers of packets in flows to a destination, numbers of bytes in flows to a destination. A flow is a set of packets that share the same Flow ID (Source IP, Source Port, Destination IP, Destination Port, Protocol).The entropy of the features are used to model the behaviour of both bot and user-induced traffic. We do an initial characterization of both classes of traffic and derive a set of fuzzy rules to describe their behaviour. Fuzziness is introduced in order to describe the difference in traffic behaviour in terms of natural language. The following sections describe the system in detail. Traffic Characterization From a review of literature, we found that there are only a few works [34-38] which analyse bot behavior. We understand from these works that the only invariant in bot behavior is its communication with the C&C server. Hence the bot C&C is the weak link of the bot through which we can detect its presence. From the bot analysis works, we were able to conclude that bots communicate periodically with their masters for getting commands, reporting status, posting sto... ... middle of paper ... ...sis Using Conditional Code Obfuscation,” in Network and Distributed System Security Symposium (NDSS), 2008. [19] isi.deterlab.net [20] Huijun Xiong, Prateek Malhotra, Deian Stefan, Chehai Wu and Danfeng Yao, User assisted host-based detection of outbound malware traffic, Information and Communications Security, Lecture Notes in Computer Science, 2009. [21] Takemori, K.., Nishigaki, M., Takami, T., Miyake, Y., Detection of Bot Infected PCs using Destination-based IP and Domain Whitelists during a non-operating term, IEEE Global Telecommunications Conference, 2008. [22] Jacob, Gregoire, et al. "Jackstraws: Picking command and control connections from bot traffic." USENIX Security Symposium. 2011. [23] Giroire, Frederic, et al. "Exploiting temporal persistence to detect covert botnet channels." Recent Advances in Intrusion Detection. Springer Berlin/Heidelberg, 2009.
and their use. In Committee on Deterring Cyber attacks: Informing Strategies and Developing Options (Ed.), Proceedings of a Workshop on Deterring Cyber attacks: Informing Strategies and Developing Options for U.S. Policy. Washington, D.C.: National Academies Press.
Sabu M. Thampi, Pradeep K. Atrey, Chun I. Fan, Gregorio Martinez Perez (Eds.), Security in Computing and Communications: International Symposium, SSCC 2013, Mysore, India, August 22-24, 2013. Proceedings (Communications in Computer and Information Science) (p. 418). New York, NY: Springer Publishing.
The Aim Higher College’s system administrators and network engineers have described seeing some strange behaviors such as high levels of traffic from many hosts that are causing system outages. The web servers of the college have been shutting down frequently by this traffic, it must be from a hacker group trying to attack the school with malicious software. I will review the network traffic from the college’s intrusion detection system and use an intrusion prevention system to block off these threats from the hackers.
...xamples taking under consideration like modeling and countermeasures based on internet threat monitors. But still in future there may be new traffic implementation by the attackers for which we need to change the methods and updates for users and their software.
Roger Dingledine, Nick Mathewson, Paul Syverson. Tor: The Second-Generation Onion Router. Washington DC: Naval Research Lab, 2004.
In 1980, James Anderson’s paper, Computer Security Threat Monitoring and Surveillance, bore the notion of intrusion detection. Through government funding and serious corporate interest allowed for intrusion detection systems(IDS) to develope into their current state. So what exactly is IDS? An IDS is used to detect malicious network traffic and computer usage through attack signatures. The IDS watches for attacks not only from incoming internet traffic but also for attacks that originate in the system. When a potential attack is detected the IDS logs the information and sends an alert to the console. How the alert is detected and handled at is dependent on the type of IDS in place. Through this paper we will discuss the different types of IDS and how they detect and handle the alerts, the difference between a passive and a reactive system and some general IDS intrusion invasion techniques.
Due to their complexity and importance to information security, two security systems, Network Intrusion Detection/Prevention Systems (NIDPS) and Security Information and Event Management systems (SIEM), will be explored in this paper. Both have multiple functionalities, including threat-detecting capabilities, and are widely considered essential tools for adequate network defense, particularly in the goal of fortifying valuable assets in the face of an advanced threat. Understanding these systems is vital for any security operation tasked with defending significant networks.
Detecting ICS cyber-attack is difficult; hence we need Application Whitelisting (AWL). In one of the cyber-attack a malware having 0 percent detection rate compromised 80 percent of the assets of ICS, the antivirus seemed to be not useful in this case. Use of AWL becomes essential since it detects and prevents malware executions. Successful AWL implementation are very few. Systems such as human-machine interface (HMI) computers and database servers, are ideal candidates to run AWL. Operators and vendors must
Harmful usage of a sniffer is catching password and also capturing special and private information of transactions, like username, credit ID, account, and password, recording sending of email or messages and resuming the information, Some Sniffers have the ability to modify the computer's information also to the extent of even damaging the system. Weakening the security of a network even being successful in gaining higher level authority. With everyday more and different hackers using of packet sniffers, it has become one of the most important tool in the defence of cyber-attacks and cyber-crime. Writted by (2001 – 2014) Colasoft LLC
In the real world, most encounters in everyone's daily lives are anonymous ones. Chatting with a person beside you in a café or talking to an assistant while shopping for a pair of pants- these are interactions between two unknown persons; however, these contacts do not affect our lives the way some of the anonymous interactions in the cyberspace does so. Chat rooms, net forums, and even the spam mails most people get u...
Malicious software in short known as Malware. It is also known as computer Contaminant. Similar to biological parasite, malware also reside in a Host. Malware will get installed on host without user’s consent. Generally a software is considered malware based on the intent of the creator...
Malicious code is a real danger to modern systems. Most systems nowadays do not work in isolation; they are more likely to be connected to other systems and sometimes they can even be dependent on them. Therefore an attack on one of the systems in the network is a potential attacking attempt to any other systems, with which it is interacting. Therefore, it is inevitable for any networked or Internet-connected computers to deal with malicious code attacks at some point. Businesses lose billions of dollars each year because of malicious code attacks. Responding to the attack and restoring all the data on the computers is a time-consuming and expensive task. It is a much better practice to try preventing it through organizing and maintaining effective defenses. However, it is important to keep in mind that there is no one general solution that can help to prevent all the attacks. Attackers are constantly looking for new ways to take advantage of systems’ vulnerabilities and find new ones. That’s why organizations have to not only defend themselves against existing attack methods, but also try to predict and prevent new attacking techniques. It means that computer and network security is a never-ending challenge and expense.
Crowther, G. Alexander, and Shaheen Ghori. "Detangling the web: a screenshot of U.S. government cyber activity." Joint Force Quarterly July 2015: 75+. War and Terrorism Collection. Web. 28 Oct. 2015.
A cyber crime called 'Bot Networks', wherein spamsters and other perpetrators of cyber crimes remotely take control of computers without the users realizing it, is increasing at an alarming rate. Computers get linked to Bot Networks when users unknowingly download malicious codes such as Trojan horse sent as e-mail attachments. Such affected computers, known as zombies, can work together whenever the malicious code within them get activated, and those who are behind the Bot Networks attacks get the computing powers of thousands of systems at their disposal.
The internet offers high speed connectivity between countries, which allows criminals to commit cybercrimes from anywhere in the world. Due to the demand for the internet to be fast, networks are designed for maximum speed, rather than to be secure or track users (“Interpol” par. 1). This lack of security enables hacker...