Biblio

The purpose of using deception technology in cybersecurity is to misdirect or lure attackers away from valuable technology assets once they have successfully infiltrated a network, using traps or decoys. Deception technology can also be used to further learn about the motives and tactics of attackers. Several components are required for the effective performance of deception. 

Deception technology involves the generation of traps or deception decoys. The use of deception technology can help fool hackers into thinking that they have gained access to assets such as workstations, servers, applications, and more, in a real environment.  Security teams can observe and monitor the operations, navigation, and tools of the hackers without the concern that any damage will occur on real assets. It is possible to detect breaches early, reduce false positives, and more, using deception technology. 
 

Deception is a tactic that could be used in cybersecurity to attack adversaries. Deception technology goes beyond the honeypot concept in that it can be used to actively lure and bait attackers to an environment in which deception is applied. Organizations can use deception technology to reduce false positives, trigger early threat hunting operations, and more. 

The growing complexity and frequency of cyberattacks call for advanced methods to enhance the detection and prevention of such attacks. Deception is a cyber defense technique that is drawing more attention from organizations. This technique could be used to detect, deceive, and lure attackers away from sensitive data upon infiltration into a system. It is important to look at the most common features of distributed deception platforms such as high-interaction deception, adaptive deception, and more. 

Deception has always been a key strategy in war, politics, and commerce, but now this technique is being utilized in the battle of cybersecurity. Cybercriminals have applied this technique through the development and launch of cyberattacks such as phishing. Deception technology is now emerging as a security defense method for enterprises.  The implementation of this technology could help lure hackers away from sensitive assets once they have successfully infiltrated an organization's network. 

Computer scientists at Binghamton University are working to increase the effectiveness of cyber deception tools against malicious hackers. Cyber deception is a security defense method that can be used to detect, deceive, and lure attackers away from sensitive data once they have infiltrated a system. Researchers want to improve the consistency of deception. The goal is to reduce the use of ‘bad lies’ in cyber deception. 

To improve cyber defense, researchers have developed algorithms to allocate limited defense resources optimally. Through signaling theory, we have learned that it is possible to trick the human mind when using deceptive signals. The present work is an initial step towards developing a psychological theory of cyber deception. We use simulations to investigate how humans might make decisions under various conditions of deceptive signals in cyber-attack scenarios. We created an Instance-Based Learning (IBL) model of the attacker decisions using the ACT-R cognitive architecture. We ran simulations against the optimal deceptive signaling algorithm and against four alternative deceptive signal schemes. Our results show that the optimal deceptive algorithm is more effective at reducing the probability of attack and protecting assets compared to other signaling conditions, but it is not perfect. These results shed some light on the expected effectiveness of deceptive signals for defense. The implications of these findings are discussed.