PROACTIVE DEVELOPERS SECURITY SYSTEM

Abstract

ABSTRACT PROACTIVE DEVELOPERS SECURITY SYSTEM The Proactive Developers Security System is designed to protect developer code from unauthorized access, especially during a breach. The system comprises a real-time monitoring, secure backup, self-destruction protocols, and decoy environments to provide comprehensive defence. The system’s main feature is the unlinking Process which disconnects connections between a compromised device and backup storage device after data transfer ensuring that attackers cannot access the stored code. By detecting unauthorized activity, the system encrypts and backs up code, initiates self-destruction to erase sensitive data from the compromised device and activates a decoy environment to distract attackers. Real-time alerts and secure logging enable continuous monitoring and post-breach analysis. This approach ensures the security and integrity of developer code even in the event of a breach by offering a layered defence strategy that prevents further unauthorised access to sensitive data. Fig 1

Specification

Description:FORM 2

THE PATENTS ACT, 1970
(39 of 1970)
&
THE PATENTS RULES, 2003

COMPLETE SPECIFICATION
(See Section 10; rule 13)

TITLE OF THE INVENTION
PROACTIVE DEVELOPERS SECURITY SYSTEM


APPLICANT
K.RAMAKRISHNAN COLLEGE OF ENGINEERING
NH-45, Samayapuram,
Trichy, Tamilnadu, India- 621112


The following specification particularly describes the invention and the manner in which it is to be performed.
PROACTIVE DEVELOPERS SECURITY SYSTEM
TECHNICAL FIELD
The present invention relates to the field of cyber security. More specifically, the Proactive Developer Security System is designed to safeguard developers' systems from unauthorized access and prevent their sensitive data. It focuses on providing robust security for developers ensuring their data remains secure.
BACKGROUND
In today's digitised era, development is something which has become more complicated and widely spread. As Developers used to create novel applications and systems, they often work with sensitive and valuable data which becomes a main focus for malicious actors. Conventional security measures such as firewall and antivirus software have been there for decades and their technologies are widely recognised and broadly accepted. They are cost-effective especially for organisations which are at a smaller level. They are relatively easy to set up and manage. They even have a verified track record of reliability and effectiveness. However, They are essential but only provide base level protection which is often not enough to fight against advanced and continuous high tech cyberattacks.
Cyber frauds nowadays started to use advanced methods like zero-day exploits which take advantage of loopholes that nobody knew about before. They also use social engineering which schemes people to give their sensitive information and insider threats, the condition where someone within the organisation helps the attackers. When a system is compromised, it can also lead to serious issues including losing money, damaging reputations and falling behind competitors.
Thus, there is a need for a strong security system which should protect sensitive code and that should also ensure that the data is safe. It should identify suspicious activities before itself and respond to that in a very short period of time to stop attacks. This helps the developers to focus on their work without distressing about their intellectual property being looted or compromised.
To address these challenges, we introduce the Proactive Developers Security System which is able to detect and prevent attacks, respond effectively to incidents, and reduce the impact of potential compromises. By using advanced technologies and new methods, this system can protect important code, ensure that the data stays safe, and create a safe environment for development.
OBJECTIVE OF THE INVENTION
The primary objective of the present invention is to improve the security of development environments by using strong security measures to protect important code and sensitive data.
Another objective of the present invention is to identify and stop security threats such as unauthorized access, data breaches, and malicious attacks before they can cause serious harm.
Another objective of the present invention is to quickly find and respond to security problems. By using a self-destruction mechanism, it focuses to reduce their effect and reduce interruption.
Yet another object of the present invention is to keep sensitive data safe and private by using strong encryption, secure data transfer methods and strong access controls.
These and other objects and advantages of the present invention will become readily apparent from the following detailed description taken in conjunction with the accompanying drawings.
SUMMARY
This invention briefly explains about Proactive Developers Security System. It is designed to keep developer code safe from unauthorized access, from being stolen and tampered. The system has a monitoring unit with Intrusion Detection Systems (IDS) like Snort or Suricata, and Security Information and Event Management (SIEM) tools such as Splunk or the ELK Stack. These tools will help to detect unauthorised access and suspicious activities in real time which provides early warnings to the developers.
A backup and encryption unit is used to safely transfer sensitive data to backup storage. By using AES-256 encryption and secure transfer methods, it makes sure that data is protected during transfer by preventing interception or tampering. In case a device is accessed by unauthorized users, the system has a self-destruction mechanism using tools like SDelete or Eraser to permanently erase data. This ensures that unauthorised people cannot access or recover sensitive information by keeping the developer's code confidential.
A decoy environment which is a false environment uses honeypot techniques like Honeyd or Dionaea. This cheats attackers by replicating real directory structures so that they will get distracted away from valuable data and protecting sensitive areas of the development environment. Additionally, the system also contains an unlinking process that automatically disconnects compromised devices from backup storage systems using serverless functions like AWS Lambda or Azure Functions. This keeps backup data separated and safe from unauthorized users.
Finally, the system also includes features such as an alert and logging system to alert developers about any unauthorized access attempts. Notifications can be sent through email, SMS and push alerts and detailed logs are kept using SIEM tools to help developers respond quickly to security incidents.
The Proactive Developers Security System, on one side uses automated serverless functions within the unlinking process to ensure the device disconnects from backup storage immediately after data transfer, preventing unauthorized access. On the side, the decoy environment is performed using advanced honeypot systems to fool malicious actors and prevent direct access to sensitive code. The system further includes a robust alerting mechanism that informs developers of security events supporting quick responses to threats.
These and other aspects of the embodiments herein will be better appreciated and understood when considered in conjunction with the following description and accompanying diagrams. It should be understood that while these descriptions indicate preferred embodiments, they are illustrative rather than limiting and modifications may be made without departing from the scope and spirit of the invention. The embodiments herein include all such modifications.
BRIEF DESCRIPTION OF THE DRAWING
The other objects, features and advantages will occur to those skilled in the art from the following description of the preferred embodiment and the accompanying drawings in which:
Fig. 1 illustrates an overview of the Proactive Developers Security System architecture showing the primary components and their interactions including monitoring, backup, encryption and alerting systems.
The flowchart briefly describes the sequential work of the system from the setup and monitoring developer activities. In case any suspicious activity is found, an alert and backup process is activated. Essential components are involved that include the logging system for event recording and the backup unit to encrypt and safely transfer data.
The flowchart continues with the unlinking process which disconnects compromised devices. If necessary, the self-destruction mechanism is activated to delete data. A decoy Environment is also deployed to divert unauthorised users further enhancing security.
DETAILED DESCRIPTION
This invention describes a Proactive Developers Security System which protects developer code from unauthorized access. A key focus is on unlinking and self-destruction mechanisms to stop access after a breach. The system includes real-time monitoring, secure backup processes, self-destruction protocols, and decoy environments, providing strong defence against hacking attempts. The unlinking process is crucial as it disconnects compromised devices from backup storage once data transfer is done.
The system consists of several main parts: a Monitoring Unit, a Backup and Encryption Unit, a Self-Destruction Mechanism, a Decoy Environment, an Unlinking Process, and an Alert and Logging System. Each part plays a role in stopping unauthorised access, protecting sensitive code and providing real-time alerts and logs for analysis.
The monitoring unit is a core component of the Proactive Developers Security System which is always active to ensure continuous surveillance of the system. It observes network traffic, developer activities and file access patterns watching for any signs of unusual or unauthorised actions. This unit is provided with an Intrusion Detection System (IDS) which particularly monitors for abnormal activities like login attempts from unfamiliar locations, unauthorised access to sensitive files or unusually large data transfers. These indicators often point to potential threats such as unauthorised access, data exfiltration or malware activity triggering the system to raise alarms for further investigation.
To make it more powerful threat detection and provide a comprehensive view of security events, the system combines with Security Information and Event Management (SIEM) tools. SIEM tools aggregate logs from various sources within the network and across all connected devices. These logs are analysed for any signs of suspicious or abnormal behaviour that deviate from the system's established norms, such as repeated failed login attempts or unusual patterns in file access. The SIEM system flags these anomalies and correlates them across different events to identify possible security risks. This aggregated data helps in providing an immediate, broad overview of any potential threats, allowing the monitoring unit to quickly detect and respond to suspicious activity across the entire system, ensuring that security threats are identified and addressed in real time.
When the Intrusion Detection System (IDS) or Security Information and Event Management (SIEM) identifies any signs of suspicious behaviour, such as multiple failed login attempts or irregular file access patterns, the system flags this activity as potentially malicious. For example, an abnormal number of login failures within a short period, especially from unfamiliar or geographically distant IP addresses, can indicate a brute force attack or credential stuffing attempt. Similarly, unexpected access to sensitive files or data transfers that exceed normal thresholds may suggest an attempt to exfiltrate information. When these patterns are detected, the system classifies the activity as a potential threat and initiates further actions.
Once suspicious activity is detected, the alert and logging system immediately activates to ensure that the right individuals are notified without delay. The system sends real-time notifications to administrators or designated personnel, providing them with a quick and clear understanding of the nature of the detected threat. These alerts can be delivered through multiple channels, including email, SMS, and push notifications, ensuring that key security staff can respond to the threat regardless of their location or device. This multi-channel approach ensures immediate awareness and rapid response capabilities, helping mitigate potential damage in a timely manner.
In addition to notifying personnel, the SIEM system logs every detail of the detected incident. This log captures crucial information such as the nature of the unauthorized attempt, including what data was accessed, how often the attempts occurred, and where they originated from. This detailed record serves as a forensic trail that can be analysed to understand the full scope of the attack, the potential vulnerabilities exploited, and the effectiveness of the system's response. The log also provides valuable insights for future improvements in security policies, helping refine the detection thresholds and response protocols. By retaining this detailed incident history, the system creates a foundation for enhancing both immediate security responses and long-term defences.
The decoy environment plays a pivotal role in slowing down and misdirecting attackers when unauthorized access is detected and continues despite initial security measures. It acts as a trap to draw attackers away from sensitive data and gives the security team more time to respond to the threat. The decoy environment is primarily composed of honeypots, which are carefully designed to simulate real, high-value directories and files. These honeypots look like legitimate parts of the system, with file structures, naming conventions, and access permissions that appear completely normal to an attacker.
However, the data within these decoy files is entirely fake, containing non-sensitive information that has been intentionally crafted to look enticing to an attacker. The files might mimic actual application data, source code, database entries, or configuration files-things an attacker would typically target to extract valuable information. For instance, they could be designed to appear as critical databases, source code repositories, or sensitive internal documents. These decoy files are not valuable in themselves, but they are set up to convince the attacker they are accessing real, high-stakes data.
The honeypots serve as a redirection tactic: rather than directly compromising the actual sensitive data, the attacker spends time interacting with the decoy files. They may attempt to exfiltrate this seemingly valuable information or manipulate it in ways that they believe will grant them deeper access. In essence, these decoys distract the attacker and force them to focus on fake data rather than the legitimate, critical system data. This misdirection buys valuable time for the security team to take action and prevents the attacker from quickly achieving their objectives.
While the attacker engages with the decoy files, the monitoring system remains active, logging and tracking every move the attacker makes. The system records detailed information about the attacker's actions: which decoy files they accessed, how they interacted with these files, any attempts to modify or download them, and their general behaviour patterns. This tracking can reveal important insights into the attacker's methods (e.g., whether they are using automated scripts, manual commands, or sophisticated tools) and provide clues about their intent (e.g., stealing data, gaining privileged access, or setting up a backdoor).
By continuously monitoring the attacker's actions within the decoy environment, the security system collects behavioural data that can be used for further investigation and future threat prevention. For example, if the attacker is attempting to access areas of the decoy environment that are designed to simulate sensitive databases, the system may flag this behaviour as a potential reconnaissance phase of a larger attack. This behaviour can then be logged in the Security Information and Event Management (SIEM) system for real-time alerting and historical analysis.
From a strategic standpoint, the honeypot technique not only buys time for security teams but also provides a wealth of intelligence on attacker tactics, techniques, and procedures (TTPs). For instance, if the attacker is trying to exploit a specific vulnerability or technique to escalate their privileges, this can be identified through careful monitoring of their interactions with the decoy environment. The logs and insights derived from the decoy environment can be used to strengthen security defences, update intrusion detection signatures, and inform future security policies.
Additionally, these interactions allow for the identification of attack vectors and the tools that attackers use to compromise systems. This information can then be used to patch vulnerabilities in the real system or to adjust detection rules in the IDS to catch similar behaviour in the future. The use of honeypots also helps in understanding the attacker's strategies and adjusting the response to better counteract these tactics in subsequent incidents
Furthermore, since the decoy files are designed to be engaging yet ultimately harmless, they prevent the attacker from realising they are being deceived. The attacker may spend considerable time interacting with these files, which further delays their access to critical system resources. This is particularly important because many attackers will often attempt to escalate their privileges or move laterally across the network once they believe they have gained initial access. By forcing them to focus on fake files, the system ensures that they don't get an opportunity to gain deeper access to the actual network..
Finally, once the security team has sufficient time to respond whether through disconnection, isolation, or more active countermeasures the honeypot environment allows them to neutralise the threat without the attacker ever accessing the real, sensitive data. This response could include actions such as initiating the unlinking process to disconnect the compromised device from the network or triggering self-destruction mechanisms on the compromised device.
The Secure Data Backup and Unlinking Process is a critical response mechanism designed to ensure that sensitive data remains safe and protected from unauthorised access during and after a breach. This process occurs in two key phases: Initiating Backup and Encryption and Unlinking Post-Transfer.
Once a potential threat is detected, the backup and encryption unit activates to ensure that all critical data is quickly backed up to a secure storage location. The data being transferred-such as user files, application data, databases, and system configurations-is encrypted in real time using the AES-256 encryption standard, which is one of the most robust encryption methods available. AES-256 ensures that even if the data is intercepted during transmission, it remains encrypted and unreadable to unauthorized users.
This phase of the process is crucial for securing sensitive data during its transfer to a backup storage system, whether it's cloud-based or on-premises. The encryption guarantees that the backup remains protected from unauthorised access, safeguarding against data exfiltration or tampering by an attacker.
Once the data has been successfully backed up and encrypted, the next step is the unlinking process. The system uses serverless functions like AWS Lambda, Azure Functions, or Google Cloud Functions to automatically disconnect the compromised device from the backup storage system. These serverless functions allow the system to perform the unlinking operation quickly and efficiently without requiring dedicated infrastructure.
The unlinking process ensures that the attacker cannot access the backup data, even if they regain control of the compromised device. By severing the connection between the device and the backup storage, the system effectively isolates the backup, making it inaccessible to unauthorized parties. This step provides an additional layer of security, ensuring that the attacker cannot reach or manipulate the backup data, even if they attempt to reconnect or bypass other security measures.
Together, these two phases, backup and encryption followed by unlinking-form a comprehensive approach to securing sensitive data in the event of a breach. The backup ensures the data is safely stored, while encryption protects it during transfer. The unlinking process ensures that once the data is backed up, it is completely isolated from any compromised systems, preventing further access or exfiltration by unauthorised users.
The Self-Destruction Mechanism is an advanced feature of the Proactive Developers Security System designed to neutralise a device if it is determined to be fully compromised, ensuring that no sensitive data is accessible to unauthorised parties. This mechanism is a last-resort defence that focuses on permanent data destruction, effectively rendering the device useless for malicious actors.
When the system detects that a device has been compromised beyond recovery-whether through unauthorized access, malware, or an ongoing attack-it automatically triggers the self-destruction process. This process involves using secure data deletion tools like SDelete (for Windows) or Eraser (for multiple platforms), which are specifically designed to permanently erase data. Unlike standard deletion methods, these tools overwrite the data multiple times, making it virtually impossible to recover or reconstruct. The self-destruction process is irreversible, ensuring that once data is erased, it cannot be retrieved by any means, even with advanced forensic techniques or recovery tools.
By employing secure deletion methods that go beyond simple file deletion, the system ensures that all data on the device, files, configurations, credentials, and even hidden or residual data are completely destroyed. This prevents any chance of unauthorised access or data exfiltration, even if the attacker has physical access to the compromised device.
The self-destruction mechanism effectively mitigates the risk of data breaches by ensuring that sensitive information is no longer recoverable, even if the attacker attempts to retrieve it. For example, if the device is left in the possession of an unauthorised user, they would find that all data on the device is permanently erased, removing any possibility of exfiltrating confidential or personal information. This final step neutralises any remaining threats to the system's data integrity.
Moreover, this mechanism serves as a critical safeguard against the risk of data compromise. It addresses situations where an attacker might attempt to leverage a compromised device to infiltrate the network or access additional sensitive data. By ensuring that the device is rendered data-free and inoperable, the system completely closes any remaining pathways for data exploitation or unauthorised access.
In essence, the self-destruction mechanism is a crucial safeguard for organisations, offering peace of mind by ensuring that sensitive information cannot be accessed, even in the worst-case scenario where a device has been physically compromised. The mechanism provides an extra layer of protection by ensuring that, once the device is neutralised, there are no remnants of data left that could lead to a breach or exploitation.
After the immediate threat has been neutralised, the SIEM and monitoring systems generate a detailed incident report. This report includes information about the nature of the threat, the sequence of events, actions taken by each system component, and final resolution status.
Security teams analyse these reports to understand weaknesses, improve response protocols, and fine-tune the system's detection algorithms. Machine learning components within the monitoring unit can be retrained based on the incident data, enhancing the accuracy of future detections.
Logs and reports are stored to meet compliance requirements and provide a historical record for audits. This documentation is essential for maintaining regulatory compliance and for proving the system's robustness to stakeholders.
, Claims:CLAIMS
WE CLAIM,
1. A Proactive Developers Security System, comprising:
a monitoring unit configured to detect the unauthorised access and suspicious activity using Intrusion Detection Systems (IDS) and Security Information and Event Management (SIEM);
a backup and encryption unit configured to securely transfer the data to backup storage system using AES-256 encryption and secure transfer protocols;
a self-destruction mechanism configured to irreversibly delete all the data of compromised device using secure deletion tools like SDelete or Eraser so that the unauthorised parties can access or recover it;
a decoy environment configured to distract by setting up false directories and files that mimic actual structure which help us during unlinking process using honeypot techniques;
an unlinking process configured to disconnect the compromised device from the backup storage device after data transfer using serverless functions like AWS Lambda, Azure Functions, or Google Cloud Functions so that the unauthorised users cannot reach the backup device; and,
an alert and logging system configured to notify the user about the unauthorised attempts and number of times access was attempted using email notifications, SMS notifications, push notifications, and SIEM tools.
2. The Proactive Developers Security System as claimed in claim 1, wherein the monitoring unit uses Intrusion Detection Systems (IDS) like Snort or Suricata to identify if there is any network anomalies and it also uses Security Information and Event Management (SIEM) tools such as Splunk or the ELK Stack to identify connections between security events and send out alerts.
3. The Proactive Developers Security System as claimed in claim 1, wherein backup and encryption unit uses AES-256 encryption to transfer encrypted data to cloud storage providers like AWS S3 or Azure Blob Storage using secure transfer protocols such as HTTPS or SFTP maintaining the confidentiality and integrity of the backup data.
4. The Proactive Developers Security System as claimed in claim 1, wherein self-destruction mechanism uses secure deletion tools such as SDelete or Eraser in its self-destruction mechanism and may also incorporate additional techniques like multi-pass overwrite or hardware-based destruction to ensure the irrecoverability of the data.
5. The Proactive Developers Security System as claimed in claim 1, wherein decoy environment uses honeypot techniques such as Honeyd or Dionaea in its decoy environment and these techniques distract potential attackers by simulating false systems and services.
6. The Proactive Developers Security System as claimed in claim 1, wherein the unlinking process is automated using serverless functions such as AWS Lambda or Azure Functions to disconnect the compromised device from the backup storage.
7. The Proactive Developers Security System as claimed in claim 1, wherein alert and logging system uses Security Information and Event Management (SIEM) tools such as Splunk or ELK Stack to concentrate and analyse security logs, create real-time alerts and provide elaborate reports on security incidents.
8. The Proactive Developers Security System of claim 1, wherein the system includes a user interface which allows users to keep eye on system activity, configure alerts and manage security settings.

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