Biblio
The borderless, dynamic, high dimensional and virtual natures of cyberspace have brought unprecedented hard situation for defenders. To fight uncertain challenges in versatile cyberspace, a security framework based on the cloud computing platform that facilitates containerization technology to create a security capability pool to generate and distribute security payload according to system needs. Composed by four subsystems of the security decision center, the image and container library, the decision rule base and the security event database, this framework distills structured knowledge from aggregated security events and then deliver security load to the managed network or terminal nodes directed by the decision center. By introducing such unified and standardized top-level security framework that is decomposable, combinable and configurable in a service-oriented manner, it could offer flexibility and effectiveness in reconstructing security resource allocation and usage to reach higher efficiency.
There are increasing threats for cyberspace. This paper tries to identify how extreme cybersecurity incidents occur based on the scenario of a targeted attack through emails. Knowledge on how extreme cybersecurity incidents occur helps in identifying the key points on how they can be prevented from occurring. The model based on system thinking approach to the understanding how communication influences entities and how tiny initiating events scale up into extreme events provides a condensed figure of the cyberspace and surrounding threats. By taking cyberspace layers and characteristics of cyberspace identified by this model into consideration, it predicts most suitable risk mitigations.
Botnet has been evolving over time since its birth. Nowadays, P2P (Peer-to-Peer) botnet has become a main threat to cyberspace security, owing to its strong concealment and easy expansibility. In order to effectively detect P2P botnet, researchers often focus on the analysis of network traffic. For the sake of enriching P2P botnet detection methods, the author puts forward a new sight of applying distributed threat intelligence sharing system to P2P botnet detection. This system aims to fight against distributed botnet by using distributed methods itself, and then to detect botnet in real time. To fulfill the goal of botnet detection, there are 3 important parts: the threat intelligence sharing and evaluating system, the BAV quantitative TI model, and the AHP and HMM based analysis algorithm. Theoretically, this method should work on different types of distributed cyber threat besides P2P botnet.
Cybercrime has been regarded understandably as a consequent compromise that follows the advent and perceived success of the computer and internet technologies. Equally effecting the privacy, trust, finance and welfare of the wealthy and low-income individuals and organizations, this menace has shown no indication of slowing down. Reports across the world have consistently shown exponential increase in the numbers and costs of cyber-incidents, and more worriedly low conviction rates of cybercriminals, over the years. Stakeholders increasingly explore ways to keep up with containing cyber-incidents by devising tools and techniques to increase the overall efficiency of investigations, but the gap keeps getting wider. However, criminal profiling - an investigative technique that has been proven to provide accurate and valuable directions to traditional crime investigations - has not seen a widespread application, including a formal methodology, to cybercrime investigations due to difficulties in its seamless transference. This paper, in a bid to address this problem, seeks to preliminarily identify the exact benefits criminal profiling has brought to successful traditional crime investigations and the benefits it can translate to cybercrime investigations, identify the challenges posed by the cyber-scene to its implementation in cybercrime investigations, and proffer a practicable solution.
Recently, IoT, 5G mobile, big data, and artificial intelligence are increasingly used in the real world. These technologies are based on convergenced in Cyber Physical System(Cps). Cps technology requires core technologies to ensure reliability, real-time, safety, autonomy, and security. CPS is the system that can connect between cyberspace and physical space. Cyberspace attacks are confused in the real world and have a lot of damage. The personal information that dealing in CPS has high confidentiality, so the policies and technique will needed to protect the attack in advance. If there is an attack on the CPS, not only personal information but also national confidential data can be leaked. In order to prevent this, the risk is measured using the Factor Analysis of Information Risk (FAIR) Model, which can measure risk by element for situational awareness in CPS environment. To reduce risk by preventing attacks in CPS, this paper measures risk after using the concept of Crime Prevention Through Environmental Design(CPTED).
The report presents the results of the investigations into the effects of the information hybrid threats through cyberspace on social, technical, socio and technical systems. The composition of the system of early efficient detection of the above hybrids is suggested. The results of the structural and parametric synthesis of the system are described. The recommendations related to the system implementation are given.
Cyber-attacks and intrusions in cyber-physical control systems are, currently, difficult to reliably prevent. Knowing a system's vulnerabilities and implementing static mitigations is not enough, since threats are advancing faster than the pace at which static cyber solutions can counteract. Accordingly, the practice of cybersecurity needs to ensure that intrusion and compromise do not result in system or environment damage or loss. In a previous paper [2], we described the Cyberspace Security Econometrics System (CSES), which is a stakeholder-aware and economics-based risk assessment method for cybersecurity. CSES allows an analyst to assess a system in terms of estimated loss resulting from security breakdowns. In this paper, we describe two new related contributions: 1) We map the Cyberspace Security Econometrics System (CSES) method to the evaluation and mitigation steps described by the NIST Guide to Industrial Control Systems (ICS) Security, Special Publication 800-82r2. Hence, presenting an economics-based and stakeholder-aware risk evaluation method for the implementation of the NIST-SP-800-82 guide; and 2) We describe the application of this tailored method through the use of a fictitious example of a critical infrastructure system of an electric and gas utility.
The Air Force is shifting its cybersecurity paradigm from an information technology (IT)-centric toward a mission oriented approach. Instead of focusing on how to defend its IT infrastructure, it seeks to provide mission assurance by defending mission relevant cyber terrain enabling mission execution in a contested environment. In order to actively defend a mission in cyberspace, efforts must be taken to understand and document that mission's dependence on cyberspace and cyber assets. This is known as cyber terrain mission mapping. This paper seeks to define mission mapping and overview methodologies. We also analyze current tools seeking to provide cyber situational awareness through mission mapping or cyber dependency impact analysis and identify existing shortfalls.
As one of the security components in cyber situational awareness systems, Intrusion Detection System (IDS) is implemented by many organizations in their networks to address the impact of network attacks. Regardless of the tools and technologies used to generate security alarms, IDS can provide a situation overview of network traffic. With the security alarm data generated, most organizations do not have the right techniques and further analysis to make this alarm data more valuable for the security team to handle attacks and reduce risk to the organization. This paper proposes the IDS Metrics Framework for cyber situational awareness system that includes the latest technologies and techniques that can be used to create valuable metrics for security advisors in making the right decisions. This metrics framework consists of the various tools and techniques used to evaluate the data. The evaluation of the data is then used as a measurement against one or more reference points to produce an outcome that can be very useful for the decision making process of cyber situational awareness system. This metric offers an additional Graphical User Interface (GUI) tools that produces graphical displays and provides a great platform for analysis and decision-making by security teams.
To overcome the current cybersecurity challenges of protecting our cyberspace and applications, we present an innovative cloud-based architecture to offer resilient Dynamic Data Driven Application Systems (DDDAS) as a cloud service that we refer to as resilient DDDAS as a Service (rDaaS). This architecture integrates Service Oriented Architecture (SOA) and DDDAS paradigms to offer the next generation of resilient and agile DDDAS-based cyber applications, particularly convenient for critical applications such as Battle and Crisis Management applications. Using the cloud infrastructure to offer resilient DDDAS routines and applications, large scale DDDAS applications can be developed by users from anywhere and by using any device (mobile or stationary) with the Internet connectivity. The rDaaS provides transformative capabilities to achieve superior situation awareness (i.e., assessment, visualization, and understanding), mission planning and execution, and resilient operations.
Digital Forensics is an area of Forensics Science that uses the application of scientific method toward crime investigation. The thwarting of forensic evidence is known as anti-forensics, the aim of which is ambiguous in the sense that it could be bad or good. The aim of this project is to simulate digital crimes scenario and carry out forensic and anti-forensic analysis to enhance security. This project uses several forensics and anti-forensic tools and techniques to carry out this work. The data analyzed were gotten from result of the simulation. The results reveal that although it might be difficult to investigate digital crime but with the help of sophisticated forensic tools/anti-forensics tools it can be accomplished.
This paper argues the need for considering mitigating circumstances in cybercrime. Mitigating circumstances are conditions which moderate the culpability of an offender of a committed offence. Our argument is based on several observations. The cyberspace introduces a new family of communication and interaction styles and designs which could facilitate, make available, deceive, and in some cases persuade, a user to commit an offence. User's lack of awareness could be a valid mitigation when using software features introduced without a proper management of change and enough precautionary mechanisms, e.g. warning messages. The cyber behaviour of users may not be necessarily a reflection of their real character and intention. Their irrational and unconscious actions may result from their immersed and prolonged presence in a particular cyber context. Hence, the consideration of the cyberspace design, the "cyber psychological" status of an offender and their inter-relation could form a new family of mitigating circumstances inherent and unique to cybercrime. This paper elaborates on this initial argument from different perspectives including software engineering, cyber psychology, digital forensics, social responsibility and law.
In cyberspace, availability of the resources is the key component of cyber security along with confidentiality and integrity. Distributed Denial of Service (DDoS) attack has become one of the major threats to the availability of resources in computer networks. It is a challenging problem in the Internet. In this paper, we present a detailed study of DDoS attacks on the Internet specifically the attacks due to protocols vulnerabilities in the TCP/IP model, their countermeasures and various DDoS attack mechanisms. We thoroughly review DDoS attacks defense and analyze the strengths and weaknesses of different proposed mechanisms.
The significant dependence on cyberspace has indeed brought new risks that often compromise, exploit and damage invaluable data and systems. Thus, the capability to proactively infer malicious activities is of paramount importance. In this context, inferring probing events, which are commonly the first stage of any cyber attack, render a promising tactic to achieve that task. We have been receiving for the past three years 12 GB of daily malicious real darknet data (i.e., Internet traffic destined to half a million routable yet unallocated IP addresses) from more than 12 countries. This paper exploits such data to propose a novel approach that aims at capturing the behavior of the probing sources in an attempt to infer their orchestration (i.e., coordination) pattern. The latter defines a recently discovered characteristic of a new phenomenon of probing events that could be ominously leveraged to cause drastic Internet-wide and enterprise impacts as precursors of various cyber attacks. To accomplish its goals, the proposed approach leverages various signal and statistical techniques, information theoretical metrics, fuzzy approaches with real malware traffic and data mining methods. The approach is validated through one use case that arguably proves that a previously analyzed orchestrated probing event from last year is indeed still active, yet operating in a stealthy, very low rate mode. We envision that the proposed approach that is tailored towards darknet data, which is frequently, abundantly and effectively used to generate cyber threat intelligence, could be used by network security analysts, emergency response teams and/or observers of cyber events to infer large-scale orchestrated probing events for early cyber attack warning and notification.
Homeland Security (HS) is a growing field of study in the U.S. today, generally covering risk management, terrorism studies, policy development, and other topics related to the broad field. Information security threats to both the public and private sectors are growing in intensity, frequency, and severity, and are a very real threat to the security of the nation. While there are many models for information security education at all levels of higher education, these programs are invariably offered as a technical course of study, these curricula are generally not well suited to HS students. As a result, information systems and cyber security principles are under represented in the typical HS program. The authors propose a course of study in cyber security designed to capitalize on the intellectual strengths of students in this discipline and that are consistent with the broad suite of professional needs in this discipline.