Network　forensics　can　be　an　expansion　associated　with　network　security　design　which　typically　emphasizes　avoidance　and　detection　of　community　assaults.　It　covers　the　necessity　for　dedicated　investigative　abilities.　When　you　look　at　the　design,　this　indeed　currently　allows　investigating　harmful　behavior　in　communities.　It　will　help　organizations　to　examine　external　and　community　this　is　undoubtedly　around.　It　is　also　important　for　police　force　investigations.　Network　forensic　techniques　can　be　used　to　identify　the　source　of　the　intrusion　and　the　intruder＇s　location.　Forensics　can　resolve　many　cybercrime　cases　using　the　methods　of　network　forensics.　These　methods　can　extract　intruder＇s　information,　the　nature　of　the　intrusion,　and　how　it　can　be　prevented　in　the　future.　These　techniques　can　also　be　used　to　avoid　attacks　in　near　future.　Modern　network　forensic　techniques　face　several　challenges　that　must　be　resolved　to　improve　the　forensic　methods.　Some　of　the　key　challenges　include　high　storage　speed,　the　requirement　of　ample　storage　space,　data　integrity,　data　privacy,　access　to　IP　address,　and　location　of　data　extraction.　The　details　concerning　these　challenges　are　provided　with　potential　solutions　to　these　challenges.　In　general,　the　network　forensic　tools　and　techniques　cannot　be　improved　without　addressing　these　challenges　of　the　forensic　network.　This　paper　proposed　a　thematic　taxonomy　of　classifications　of　network　forensic　techniques　based　on　extensive.　The　classification　has　been　carried　out　based　on　the　target　datasets　and　implementation　techniques　while　performing　forensic　investigations.　For　this　purpose,　qualitative　methods　have　been　used　to　develop　thematic　taxonomy.　The　distinct　objectives　of　this　study　include　accessibility　to　the　network　infrastructure　and　artifacts　and　collection　of　evidence　against　the　intruder　using　network　forensic　techniques　to　communicate　the　information　related　to　network　attacks　with　minimum　false-negative　results.　It　will　help　organizations　to　investigate　external　and　internal　causes　of　network　security　attacks.