Zeeshan H.

Zeeshan H.

7 Years of Experience with IT , System Admin & Cyber Security Expert

Dubai , United Arab Emirates

Experience: 8 Years

Zeeshan

Dubai , United Arab Emirates

7 Years of Experience with IT , System Admin & Cyber Security Expert

USD / Year

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8 Years

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About Me

Master’s Degree in Cyber Security

BS in Networking & telecommunications

Various Certifications relating to Cyber Security, Networking, IT and Data Engineering including CEH, CHFI, CCA, MCSA etc.

 Proactive, Attention to ...

 Proactive, Attention to detail, and resilience are my personal traits

 7 Years of hands-on Experience in IT industry including:

Data Engineer: Big data, Hadoop; HDFS, Map Reduce, Hive, Sqoop, Impala etc

Cyber Security: Vulnerability and Pen testing Assessments

Networking: Perfect and secure network solution, Integration & Up-gradation of IT&OT

Information Technology: IT Infrastructure Design, Integration & Implementation along Applications, Networking & security practices

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Portfolio Projects

Description

For web based practicals and cloud based practicals useXAMPPserver.

For working with web based vulnerabilities use theweb vulnerable OS.

Download the direct plug and play setup from offensive security instead of downloading and doing fresh installation for KALILINUX.

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Description

Malicious software - so called malware - poses a major threat to the security of computer systems. The amount and diversity of its variants render classic security defenses ineffective, such that millions of hosts in the Internet are infected with malware in the form of computer viruses, Internet worms and Trojan horses. While obfuscation and polymorphism employed by malware largely impede detection at file level, the dynamic analysis of malware binaries during run-time provides an instrument for characterizing and defending against the threat of malicious software.iwe propose a framework for the automatic analysis of malware behavior using machine learning. The framework allows for automatically identifying novel classes of malware with similar behavior (clustering) and assigning unknown malware to these discovered classes (classification). Based on both, clustering and classification, we propose an incremental approach for behavior-based analysis, capable of processing the behavior of thousands of malware binaries on a daily basis. The incremental analysis significantly reduces the run-time overhead of current analysis methods, while providing accurate discovery and discrimination of novel malware variants.

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Description

It was a web based system thatfacilitates managing the functioning of the hospital or any medical set up.

Thissystem or software will help in making the whole functioning paperless. Itintegrates all the information regarding patients, doctors, staff, hospitaladministrative details etc. into one software. It has sections for variousprofessionals that make up a hospital.

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Description

Twitteris a gold mine of data. Unlike other social platforms, almost every user’s tweets are completely public and pullable. This is a huge plus if you’re trying to get a large amount of data to run analytics on. Twitter data is also pretty specific. Twitter’s API allows you to do complex queries like pulling every tweet about a certain topic within the last twenty minutes or pull a certain user’s non-retweeted tweets.

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Description

The purpose of apen testis to identify vulnerabilities in your application exploitable from an outside attacker.Penetration testingcan beperformedagainst the various types of code and systems used in your application, such as APIs and servers.

Tools I have used and configured is as Follows .

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